Lediga job som IT-specialist

Senior Data and Marketing Automation Engineer

Om rollen

Vi söker en Senior Data and Marketing AutomationEngineer till ett globalt bolag inom fordonsindustrin, tillteamet som driver hur data omsätts till kommersiell effekt genom helakundresan – från första intresse till långsiktig lojalitet. Du blir dentekniska länken mellan data-infrastrukturen och marketingautomation-plattformarna: du bygger och underhåller pipelines som förserplattformarna med rätt data, och du bygger själva automationerna,journeys och personaliseringslogiken som når kund.

Du kommer att arbeta nära dataingenjörer, datascientists,produktägare och CRM/marknadsteam för att omsätta affärsbehov tillrobusta, skalbara tekniska lösningar – med Salesforce Marketing Cloudsom en central del av plattformslandskapet.

Dina arbetsuppgifter

• Designa, bygga och underhålla datapipelines som förser SalesforceMarketing Cloud och andra martech-plattformar med kundata
• Bygga och underhålla marketing automation-flöden, journeys ochpersonaliseringslogik i Salesforce Marketing Cloud (Journey Builder,Automation Studio, Contact Builder m.fl.)
• Säkerställa datakvalitet, governance och tillförlitlig integrationmellan datalager (t.ex. Snowflake, Segment) och marketingautomation-verktyg
• Samarbeta med datascientists, produktägare och marknads-/CRM-teamför att omsätta affärsbehov till tekniska lösningar
• Övervaka och felsöka dataflöden och automatiserade kampanjer, samtagera proaktivt vid avvikelser
• Bidra till att vidareutveckla och skala bolagets data- och marketingautomation-arkitektur i takt med växande behov
• Dokumentera lösningar och stötta kollegor i data- och marketingautomation-frågor

Vem vi söker

• Flera års erfarenhet som data engineer och/eller marketingautomation engineer – gärna en kombination av båda
• Praktisk erfarenhet av Salesforce Marketing Cloud (Journey Builder,Automation Studio, SQL Query Activities) eller en motsvarande plattform(t.ex. Braze, Adobe Campaign)
• Stark kompetens i SQL samt erfarenhet av molnbaserade datalager(t.ex. Snowflake) och/eller CDP-lösningar (t.ex. Segment)
• God förståelse för ETL/datapipelines, dataarkitektur ochdatakvalitets-/governance-arbete
• Erfarenhet av att arbeta i en kommersiell/marknadsföringskontext –förståelse för kundresor, kampanjer och hur automatiserad kommunikationdriver affärsresultat
• Van vid att samarbeta tvärfunktionellt med både tekniska ochkommersiella intressenter
• Mycket goda kunskaper i engelska, i tal och skrift

Vi erbjuder

• En nyckelroll i skärningspunkten mellan data och kommersiell teknik,med stort inflytande över hur bolagets data driverkundkommunikation
• Ett tvärfunktionellt team med hög datamognad och tydligt fokus påaffärsnytta
• Möjlighet att arbeta med moderna data- och martech-plattformar i englobal, snabbrörlig organisation
• Goda utvecklingsmöjligheter inom en växande del av verksamheten

Låter det som din nästa utmaning? Skicka in dinansökan så snart som möjligt – vi går igenom ansökningar löpande.

TL;DR

We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems.

Why join

We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home.

You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot.

We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings.

What you'll do (responsibilities)

In one sentence: Build the next generation agentic system.

• Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs
• Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web
• Own the agent stack end-to-end: from infrastructure to product logic
• Ship fast: test ideas, run experiments, iterate daily
• Shape the product, the stack, and the culture from the ground up

Who you are

• Cracked engineer obsessed with building great software
• Comfortable with ambiguity, early-stage chaos, and fast iteration
• Thrive on new tech - LLMs, knowledge graphs, agents, you name it
• Care more about solving problems than polishing abstractions
• Fully committed to the mission: not "just a job"

What we offer

• A team of obsessed engineers, full of speed, rigour, and grit
• Mission-driven, no-BS culture: experiment, ship, learn
• Meaningful equity through qualified employee stock options (QESO) from day one
• Fully on-site in Stockholm - we believe in working together
• Top-tier compensation package

Our stack

• Frontend: React
• Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL
• Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra

About Spiich Labs

Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j.

How we hire

1. Submit your application
2. Intro call with the team
3. Technical interview
4. Take-home exercise
5. Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you.

We move fast — the full process typically takes under two weeks.

How to Apply

Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.

TL;DR

We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems.

Why join

We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home.

You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot.

We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings.

What you'll do (responsibilities)

In one sentence: Build the next generation agentic system.

• Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs
• Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web
• Own the agent stack end-to-end: from infrastructure to product logic
• Ship fast: test ideas, run experiments, iterate daily
• Shape the product, the stack, and the culture from the ground up

Who you are

• Cracked engineer obsessed with building great software
• Comfortable with ambiguity, early-stage chaos, and fast iteration
• Thrive on new tech - LLMs, knowledge graphs, agents, you name it
• Care more about solving problems than polishing abstractions
• Fully committed to the mission: not "just a job"

What we offer

• A team of obsessed engineers, full of speed, rigour, and grit
• Mission-driven, no-BS culture: experiment, ship, learn
• Meaningful equity through qualified employee stock options (QESO) from day one
• Fully on-site in Stockholm - we believe in working together
• Top-tier compensation package

Our stack

• Frontend: React
• Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL
• Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra

About Spiich Labs

Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j.

How we hire

1. Submit your application
2. Intro call with the team
3. Technical interview
4. Take-home exercise
5. Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you.

We move fast — the full process typically takes under two weeks.

How to Apply

Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.

TL;DR

We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems.

Why join

We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home.

You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot.

We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings.

What you'll do (responsibilities)

In one sentence: Build the next generation agentic system.

• Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs
• Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web
• Own the agent stack end-to-end: from infrastructure to product logic
• Ship fast: test ideas, run experiments, iterate daily
• Shape the product, the stack, and the culture from the ground up

Who you are

• Cracked engineer obsessed with building great software
• Comfortable with ambiguity, early-stage chaos, and fast iteration
• Thrive on new tech - LLMs, knowledge graphs, agents, you name it
• Care more about solving problems than polishing abstractions
• Fully committed to the mission: not "just a job"

What we offer

• A team of obsessed engineers, full of speed, rigour, and grit
• Mission-driven, no-BS culture: experiment, ship, learn
• Meaningful equity through qualified employee stock options (QESO) from day one
• Fully on-site in Stockholm - we believe in working together
• Top-tier compensation package

Our stack

• Frontend: React
• Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL
• Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra

About Spiich Labs

Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j.

How we hire

1. Submit your application
2. Intro call with the team
3. Technical interview
4. Take-home exercise
5. Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you.

We move fast — the full process typically takes under two weeks.

How to Apply

Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.

TL;DR

We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems.

Why join

We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home.

You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot.

We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings.

What you'll do (responsibilities)

In one sentence: Build the next generation agentic system.

• Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs
• Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web
• Own the agent stack end-to-end: from infrastructure to product logic
• Ship fast: test ideas, run experiments, iterate daily
• Shape the product, the stack, and the culture from the ground up

Who you are

• Cracked engineer obsessed with building great software
• Comfortable with ambiguity, early-stage chaos, and fast iteration
• Thrive on new tech - LLMs, knowledge graphs, agents, you name it
• Care more about solving problems than polishing abstractions
• Fully committed to the mission: not "just a job"

What we offer

• A team of obsessed engineers, full of speed, rigour, and grit
• Mission-driven, no-BS culture: experiment, ship, learn
• Meaningful equity through qualified employee stock options (QESO) from day one
• Fully on-site in Stockholm - we believe in working together
• Top-tier compensation package

Our stack

• Frontend: React
• Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL
• Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra

About Spiich Labs

Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j.

How we hire

1. Submit your application
2. Intro call with the team
3. Technical interview
4. Take-home exercise
5. Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you.

We move fast — the full process typically takes under two weeks.

How to Apply

Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.

TL;DR

We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems.

Why join

We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home.

You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot.

We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings.

What you'll do (responsibilities)

In one sentence: Build the next generation agentic system.

• Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs
• Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web
• Own the agent stack end-to-end: from infrastructure to product logic
• Ship fast: test ideas, run experiments, iterate daily
• Shape the product, the stack, and the culture from the ground up

Who you are

• Cracked engineer obsessed with building great software
• Comfortable with ambiguity, early-stage chaos, and fast iteration
• Thrive on new tech - LLMs, knowledge graphs, agents, you name it
• Care more about solving problems than polishing abstractions
• Fully committed to the mission: not "just a job"

What we offer

• A team of obsessed engineers, full of speed, rigour, and grit
• Mission-driven, no-BS culture: experiment, ship, learn
• Meaningful equity through qualified employee stock options (QESO) from day one
• Fully on-site in Stockholm - we believe in working together
• Top-tier compensation package

Our stack

• Frontend: React
• Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL
• Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra

About Spiich Labs

Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j.

How we hire

1. Submit your application
2. Intro call with the team
3. Technical interview
4. Take-home exercise
5. Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you.

We move fast — the full process typically takes under two weeks.

How to Apply

Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.

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.

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.

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.

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.