Lediga jobb som IT-specialist hos Bumbli Group AB

• AI - Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  AI - Data Engineer, Stockholm - Hybrid

  The company is a Nordic-Baltic venture studio founded in Stockholm in 2016. They work hands-on with both startups and larger enterprises to build digital products — investing in and building companies, rather than just consulting. Employees get the opportunity to invest in the portfolio companies and share in the upside if there's an exit. The culture is described as entrepreneurial and ownership-driven, with a focus on work-life balance — working close to founders and core teams where decisions are actually made, rather than off a backlog.

  We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.

  This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.

  Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for mid-to-large enterprises?

  Then we might be the right fit for you!

  Location: Stockholm (Onsite/Hybrid)

  Your Impact: Builder & Investor

  You are more than an engineer; you are a builder and an investor.

  • Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
  • The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
  • AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops and identifying AI possibilities for our mid-to-large size clients.

  
  

  The Role: Tech & Innovation

  You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge the gap between Software Engineering and Advanced Data Science.

  Technical Requirements

  Must-haves:

  • Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments.
  • Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL.
  • Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management.
  • Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization.
  • Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing.

  
  

  Preferred skills:

  • AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation).
  • Advanced Orchestration: Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management.
  • Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data.
  • FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend.
  • MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.
  • Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

  
  

  Culture & People

  Our culture is built on our values: Adventurous, Caring, and Inspiring.

  • Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches.
  • Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities.
  • Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your business acumen, and evolve far beyond just your technical field.

  
  

  Ready to build the future of AI and data with us?

  
  

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Data Engineer - Hybrid, Stockholm

  The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security.

  We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture.

  
  

  Our services / Product:

  We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights.

  Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt.

  
  

  About us & our references:

  We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships.

  Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success.

  
  

  Our team & Culture:

  We believe that great technology is built by people who care.

  We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning.

  You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind.

  
  

  Requirement Profile:

  We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client.

  
  

  Job Responsibilities:

  - Design, build, and maintain scalable data pipelines and data platforms

  - Ensure high data quality, security, and maintainability across solutions

  - Collaborate with clients to translate business needs into robust technical solutions

  - Act as a bridge between modern technologies and sustainable system design

  
  

  Daily Activities:

  You work at assignments at our client's site.

  - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms

  - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt

  - Participate in client projects where you ensure long-term value and technical excellence

  - Explore and apply AI tools to enhance development workflows while maintaining high standards

  
  

  Qualifications and Requirements:

  - A university degree in engineering, computer science, or a related field

  - 5+ years as a developer, with minimum 3 years in Data Engineering

  - Strong skills in Python and SQL

  - Experience with building data pipelines and working with modern data platforms

  - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus

  - Interest in AI and modern coding tools such as coding agents

  - Fluent in Swedish, both spoken and written.

  
  

  Personal Attributes:

  - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI

  - Technically curious with a broad interest in data, systems, and new technologies

  - Able to critically evaluate AI-generated code and ensure it is secure and scalable

  - A collaborative team player who enjoys sharing knowledge

  - Driven by learning and continuous improvement

  - Care by design in every solution

  
  

  Career Development Opportunities & Benefits:

  - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world

  - Work on cutting-edge projects while focusing on long-term, sustainable solutions

  - A stable and secure environment backed by experienced founders

  - Competitive salary, pension, and benefits

  - A supportive and human-centric workplace culture

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Språk

  • Svenska (krav)
  • Engelska (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• AI - Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  AI - Data Engineer, Stockholm - Hybrid

  The company is a Nordic-Baltic venture studio founded in Stockholm in 2016. They work hands-on with both startups and larger enterprises to build digital products — investing in and building companies, rather than just consulting. Employees get the opportunity to invest in the portfolio companies and share in the upside if there's an exit. The culture is described as entrepreneurial and ownership-driven, with a focus on work-life balance — working close to founders and core teams where decisions are actually made, rather than off a backlog.

  We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.

  This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.

  Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for mid-to-large enterprises?

  Then we might be the right fit for you!

  Location: Stockholm (Onsite/Hybrid)

  Your Impact: Builder & Investor

  You are more than an engineer; you are a builder and an investor.

  • Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
  • The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
  • AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops and identifying AI possibilities for our mid-to-large size clients.

  
  

  The Role: Tech & Innovation

  You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge the gap between Software Engineering and Advanced Data Science.

  Technical Requirements

  Must-haves:

  • Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments.
  • Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL.
  • Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management.
  • Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization.
  • Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing.

  
  

  Preferred skills:

  • AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation).
  • Advanced Orchestration: Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management.
  • Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data.
  • FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend.
  • MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.
  • Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

  
  

  Culture & People

  Our culture is built on our values: Adventurous, Caring, and Inspiring.

  • Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches.
  • Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities.
  • Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your business acumen, and evolve far beyond just your technical field.

  
  

  Ready to build the future of AI and data with us?

  
  

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Data Engineer - Hybrid, Stockholm

  The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security.

  We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture.

  
  

  Our services / Product:

  We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights.

  Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt.

  
  

  About us & our references:

  We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships.

  Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success.

  
  

  Our team & Culture:

  We believe that great technology is built by people who care.

  We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning.

  You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind.

  
  

  Requirement Profile:

  We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client.

  
  

  Job Responsibilities:

  - Design, build, and maintain scalable data pipelines and data platforms

  - Ensure high data quality, security, and maintainability across solutions

  - Collaborate with clients to translate business needs into robust technical solutions

  - Act as a bridge between modern technologies and sustainable system design

  
  

  Daily Activities:

  You work at assignments at our client's site.

  - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms

  - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt

  - Participate in client projects where you ensure long-term value and technical excellence

  - Explore and apply AI tools to enhance development workflows while maintaining high standards

  
  

  Qualifications and Requirements:

  - A university degree in engineering, computer science, or a related field

  - 5+ years as a developer, with minimum 3 years in Data Engineering

  - Strong skills in Python and SQL

  - Experience with building data pipelines and working with modern data platforms

  - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus

  - Interest in AI and modern coding tools such as coding agents

  - Fluent in Swedish, both spoken and written.

  
  

  Personal Attributes:

  - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI

  - Technically curious with a broad interest in data, systems, and new technologies

  - Able to critically evaluate AI-generated code and ensure it is secure and scalable

  - A collaborative team player who enjoys sharing knowledge

  - Driven by learning and continuous improvement

  - Care by design in every solution

  
  

  Career Development Opportunities & Benefits:

  - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world

  - Work on cutting-edge projects while focusing on long-term, sustainable solutions

  - A stable and secure environment backed by experienced founders

  - Competitive salary, pension, and benefits

  - A supportive and human-centric workplace culture

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Språk

  • Svenska (krav)
  • Engelska (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• AI - Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  AI - Data Engineer, Stockholm - Hybrid

  The company is a Nordic-Baltic venture studio founded in Stockholm in 2016. They work hands-on with both startups and larger enterprises to build digital products — investing in and building companies, rather than just consulting. Employees get the opportunity to invest in the portfolio companies and share in the upside if there's an exit. The culture is described as entrepreneurial and ownership-driven, with a focus on work-life balance — working close to founders and core teams where decisions are actually made, rather than off a backlog.

  We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.

  This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.

  Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for mid-to-large enterprises?

  Then we might be the right fit for you!

  Location: Stockholm (Onsite/Hybrid)

  Your Impact: Builder & Investor

  You are more than an engineer; you are a builder and an investor.

  • Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
  • The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
  • AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops and identifying AI possibilities for our mid-to-large size clients.

  
  

  The Role: Tech & Innovation

  You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge the gap between Software Engineering and Advanced Data Science.

  Technical Requirements

  Must-haves:

  • Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments.
  • Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL.
  • Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management.
  • Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization.
  • Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing.

  
  

  Preferred skills:

  • AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation).
  • Advanced Orchestration: Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management.
  • Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data.
  • FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend.
  • MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.
  • Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

  
  

  Culture & People

  Our culture is built on our values: Adventurous, Caring, and Inspiring.

  • Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches.
  • Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities.
  • Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your business acumen, and evolve far beyond just your technical field.

  
  

  Ready to build the future of AI and data with us?

  
  

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Data Engineer - Hybrid, Stockholm

  The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security.

  We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture.

  
  

  Our services / Product:

  We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights.

  Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt.

  
  

  About us & our references:

  We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships.

  Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success.

  
  

  Our team & Culture:

  We believe that great technology is built by people who care.

  We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning.

  You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind.

  
  

  Requirement Profile:

  We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client.

  
  

  Job Responsibilities:

  - Design, build, and maintain scalable data pipelines and data platforms

  - Ensure high data quality, security, and maintainability across solutions

  - Collaborate with clients to translate business needs into robust technical solutions

  - Act as a bridge between modern technologies and sustainable system design

  
  

  Daily Activities:

  You work at assignments at our client's site.

  - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms

  - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt

  - Participate in client projects where you ensure long-term value and technical excellence

  - Explore and apply AI tools to enhance development workflows while maintaining high standards

  
  

  Qualifications and Requirements:

  - A university degree in engineering, computer science, or a related field

  - 5+ years as a developer, with minimum 3 years in Data Engineering

  - Strong skills in Python and SQL

  - Experience with building data pipelines and working with modern data platforms

  - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus

  - Interest in AI and modern coding tools such as coding agents

  - Fluent in Swedish, both spoken and written.

  
  

  Personal Attributes:

  - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI

  - Technically curious with a broad interest in data, systems, and new technologies

  - Able to critically evaluate AI-generated code and ensure it is secure and scalable

  - A collaborative team player who enjoys sharing knowledge

  - Driven by learning and continuous improvement

  - Care by design in every solution

  
  

  Career Development Opportunities & Benefits:

  - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world

  - Work on cutting-edge projects while focusing on long-term, sustainable solutions

  - A stable and secure environment backed by experienced founders

  - Competitive salary, pension, and benefits

  - A supportive and human-centric workplace culture

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Språk

  • Svenska (krav)
  • Engelska (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• AI - Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  AI - Data Engineer, Stockholm - Hybrid

  The company is a Nordic-Baltic venture studio founded in Stockholm in 2016. They work hands-on with both startups and larger enterprises to build digital products — investing in and building companies, rather than just consulting. Employees get the opportunity to invest in the portfolio companies and share in the upside if there's an exit. The culture is described as entrepreneurial and ownership-driven, with a focus on work-life balance — working close to founders and core teams where decisions are actually made, rather than off a backlog.

  We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.

  This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.

  Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for mid-to-large enterprises?

  Then we might be the right fit for you!

  Location: Stockholm (Onsite/Hybrid)

  Your Impact: Builder & Investor

  You are more than an engineer; you are a builder and an investor.

  • Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
  • The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
  • AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops and identifying AI possibilities for our mid-to-large size clients.

  
  

  The Role: Tech & Innovation

  You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge the gap between Software Engineering and Advanced Data Science.

  Technical Requirements

  Must-haves:

  • Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments.
  • Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL.
  • Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management.
  • Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization.
  • Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing.

  
  

  Preferred skills:

  • AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation).
  • Advanced Orchestration: Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management.
  • Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data.
  • FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend.
  • MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.
  • Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

  
  

  Culture & People

  Our culture is built on our values: Adventurous, Caring, and Inspiring.

  • Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches.
  • Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities.
  • Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your business acumen, and evolve far beyond just your technical field.

  
  

  Ready to build the future of AI and data with us?

  
  

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Data Engineer - Hybrid, Stockholm

  The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security.

  We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture.

  
  

  Our services / Product:

  We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights.

  Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt.

  
  

  About us & our references:

  We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships.

  Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success.

  
  

  Our team & Culture:

  We believe that great technology is built by people who care.

  We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning.

  You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind.

  
  

  Requirement Profile:

  We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client.

  
  

  Job Responsibilities:

  - Design, build, and maintain scalable data pipelines and data platforms

  - Ensure high data quality, security, and maintainability across solutions

  - Collaborate with clients to translate business needs into robust technical solutions

  - Act as a bridge between modern technologies and sustainable system design

  
  

  Daily Activities:

  You work at assignments at our client's site.

  - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms

  - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt

  - Participate in client projects where you ensure long-term value and technical excellence

  - Explore and apply AI tools to enhance development workflows while maintaining high standards

  
  

  Qualifications and Requirements:

  - A university degree in engineering, computer science, or a related field

  - 5+ years as a developer, with minimum 3 years in Data Engineering

  - Strong skills in Python and SQL

  - Experience with building data pipelines and working with modern data platforms

  - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus

  - Interest in AI and modern coding tools such as coding agents

  - Fluent in Swedish, both spoken and written.

  
  

  Personal Attributes:

  - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI

  - Technically curious with a broad interest in data, systems, and new technologies

  - Able to critically evaluate AI-generated code and ensure it is secure and scalable

  - A collaborative team player who enjoys sharing knowledge

  - Driven by learning and continuous improvement

  - Care by design in every solution

  
  

  Career Development Opportunities & Benefits:

  - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world

  - Work on cutting-edge projects while focusing on long-term, sustainable solutions

  - A stable and secure environment backed by experienced founders

  - Competitive salary, pension, and benefits

  - A supportive and human-centric workplace culture

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Språk

  • Svenska (krav)
  • Engelska (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• AI - Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  AI - Data Engineer, Stockholm - Hybrid

  The company is a Nordic-Baltic venture studio founded in Stockholm in 2016. They work hands-on with both startups and larger enterprises to build digital products — investing in and building companies, rather than just consulting. Employees get the opportunity to invest in the portfolio companies and share in the upside if there's an exit. The culture is described as entrepreneurial and ownership-driven, with a focus on work-life balance — working close to founders and core teams where decisions are actually made, rather than off a backlog.

  We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.

  This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.

  Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for mid-to-large enterprises?

  Then we might be the right fit for you!

  Location: Stockholm (Onsite/Hybrid)

  Your Impact: Builder & Investor

  You are more than an engineer; you are a builder and an investor.

  • Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
  • The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
  • AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops and identifying AI possibilities for our mid-to-large size clients.

  
  

  The Role: Tech & Innovation

  You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge the gap between Software Engineering and Advanced Data Science.

  Technical Requirements

  Must-haves:

  • Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments.
  • Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL.
  • Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management.
  • Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization.
  • Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing.

  
  

  Preferred skills:

  • AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation).
  • Advanced Orchestration: Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management.
  • Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data.
  • FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend.
  • MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.
  • Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

  
  

  Culture & People

  Our culture is built on our values: Adventurous, Caring, and Inspiring.

  • Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches.
  • Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities.
  • Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your business acumen, and evolve far beyond just your technical field.

  
  

  Ready to build the future of AI and data with us?

  
  

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

• (2 st) Data Engineer - Hybrid

  Arbetsgivare / Ort:Bumbli Group AB /

  Omfattning / Varaktighet:Tillsvidareanställning (inkl. eventuell provanställning) / Tills vidare

  Lönetyp: Fast och rörlig lön

  Ansök senast 25 oktober (1 månad kvar)

  Publicerad: 2026-09-25

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Data Engineer - Hybrid, Stockholm

  The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security.

  We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture.

  
  

  Our services / Product:

  We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights.

  Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt.

  
  

  About us & our references:

  We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships.

  Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success.

  
  

  Our team & Culture:

  We believe that great technology is built by people who care.

  We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning.

  You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind.

  
  

  Requirement Profile:

  We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client.

  
  

  Job Responsibilities:

  - Design, build, and maintain scalable data pipelines and data platforms

  - Ensure high data quality, security, and maintainability across solutions

  - Collaborate with clients to translate business needs into robust technical solutions

  - Act as a bridge between modern technologies and sustainable system design

  
  

  Daily Activities:

  You work at assignments at our client's site.

  - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms

  - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt

  - Participate in client projects where you ensure long-term value and technical excellence

  - Explore and apply AI tools to enhance development workflows while maintaining high standards

  
  

  Qualifications and Requirements:

  - A university degree in engineering, computer science, or a related field

  - 5+ years as a developer, with minimum 3 years in Data Engineering

  - Strong skills in Python and SQL

  - Experience with building data pipelines and working with modern data platforms

  - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus

  - Interest in AI and modern coding tools such as coding agents

  - Fluent in Swedish, both spoken and written.

  
  

  Personal Attributes:

  - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI

  - Technically curious with a broad interest in data, systems, and new technologies

  - Able to critically evaluate AI-generated code and ensure it is secure and scalable

  - A collaborative team player who enjoys sharing knowledge

  - Driven by learning and continuous improvement

  - Care by design in every solution

  
  

  Career Development Opportunities & Benefits:

  - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world

  - Work on cutting-edge projects while focusing on long-term, sustainable solutions

  - A stable and secure environment backed by experienced founders

  - Competitive salary, pension, and benefits

  - A supportive and human-centric workplace culture

  Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

  You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

  Welcome to submit your application!

  Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

  Arbetslivserfarenhet

  • Dataingenjör (krav)

  Språk

  • Svenska (krav)
  • Engelska (krav)

  Arbetsgivare

  Bumbli Group AB
  

  Ansökan

  Ansök senast 25 oktober (1 månad kvar)

  Ansök här

  Visa mer

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