IT-specialist - Lediga jobb

Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products. 

Our culture focuses on learning, inclusion, and achieving success together!  

As a senior data scientist, you will turn large‑scale engineering data into insights and models that guide product development and engineering decisions. You will design, train, validate, and deploy advanced ML models, particularly for sensor signals and other complex data sources.  You will take a leading role in shaping innovative projects, stay up to date with the latest AI developments to ensure we use the most suitable methods, and evolving how we work with vehicle data across Volvo Cars. You will mentor and guide other data scientists, collaborate across disciplines to identify impactful opportunities, and help to build a strong, inclusive analytics community within Volvo Cars Engineering.  

This role is ideal for someone who combines deep technical expertise with a passion for leadership, mentorship, and driving innovation. 

You have a strong quantitative background, with a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 5+ years of experience in a data science or similar role. You are comfortable leading by example, guiding others, setting technical direction, and raising the quality of analytical work across teams. 

You bring an experimental mindset, balancing speed and rigor to iterate quickly and deliver impact. You have experience owning machine learning or analytical projects end-to-end, from ideation through to deployment, and you are able to clearly communicate insights to non-technical stakeholders. 

You likely have experience in several of these areas: 

•  Strong experience with Python and solid understanding of software and data engineering practices for production systems 
• Strong familiarity with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.) 
• You have experience building data pipelines on platforms such as Databricks or Snowflake 
• Theoretical understanding and practical experience in statistical modeling, inference, time-series analysis, and machine learning algorithms 
• Understanding of CI/CD principles, particularly for data or ML pipelines 

Experience with software versioning (e.g., Git)  

• Experience with generative AI or LLM-based applications 

Beneficial: 

• Experience or familiarity with front-end development (e.g., Streamlit or React) 
• Experience with cloud-environments ‑ (preferably Azure) 
• Automotive or mechatronic domain knowledge 
• Experience mentoring or leading technical work 

You would thrive in a collaborative environment while feeling confident driving technical direction. You would lead through knowledge‑sharing, encouragement, and clarity as well as communicate effectively with diverse audiences. You bring curiosity, creativity, and strong analytical rigor. You inspire others through initiative, openness, and responsibility. You bring your experience in shaping processes, methods, and standards.

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Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

The Global Headquarters for Volvo Financial Services is seeking a 2 Senior Solution Engineers for the Retail & Wholesale Digital Delivery Area of Volvo Financial Services VFS Digital & IT.  Role Summary:

As a Senior Solution Engineer, you will drive the design and delivery of scalable technical solutions across global contract management systems. You act as a key bridge between business and IT, translating complex requirements into clear solution designs and ensuring successful implementation across markets.This role combines strong technical expertise with excellent communication and coordination skills, enabling you to align stakeholders and drive end-to-end delivery. As a Senior Solution Engineer you are a member of a stable teamand will work closely with Digital Product Owner, Solution Engineers, Developers, Data Analysts and Business Stakeholders, 

You will report directly to the Chapter Lead solution Engineer – Retail & Wholesale.  Digital & IT is the engine of the VFS business, and we continue our strategic journey to further improve performance and to deliver the best customer experience in the industry. In this exciting environment, we are focused on Digital Innovation to meet the demands of our customers in an increasingly digitalized world.

•    Own the end to end technical and functional solutions for retail contract management and business operations, from requirements and architecture through delivery, operations, and continuous evolution. •    Translate business and finance requirements into technical specifications, solution designs, and user stories.•    Lead solution design, ensuring scalable configurations, integrations, and compliance with enterprise standards.•    Maintain hands-on expertise in systems configuration, data models, workflows, and integrations.•    Coordinate across business, IT, vendors, and delivery teams, ensuring alignment and smooth execution.•    Facilitate workshops, technical discussions, and decision forums across technical and non-technical stakeholders.•    Oversee testing, release management, and deployment readiness.•    Drive optimization, and continuous technical improvement.•    Ensure high-quality technical documentation and communication across teams.•    Oversee managed services and support teams to ensure operational excellence and consistent service across global markets.•    Monitor run time stability and performance, perform root cause analysis for incidents and defects, coordinating resolution across teams. 

•    Strong experience in solution engineering / technical business analysis within complex IT environments.•    7+ years’ proven experience operating in a senior Solution Engineer or Business Analyst role within complex IT initiatives in the financial services companies, with the ability to act as a trusted counterpart to both business and IT stakeholders.•    Solid understanding of system integrations, data flows, and finacial platforms.•    Proven ability to communicate and translate business needs into technical solutions.•    Strong stakeholder management and cross-functional coordination skills.•    Experience leading workshops, technical meetings, solution design, and agile delivery processes.•    Hands-on involvement in testing, validation, and release coordination.•    Strong problem-solving and analysing skills, identifying, structuring, planning, monitoring, and delivering results.•    Deep understanding of financial processes and business flows, including contracts, taxation, and financial products, with the ability to guide discussions and challenge assumptions at a senior level.•    Experience advising Retail & Wholesale clients, with exposure to Global Contract Management Systems like Aryza, FIS, Alfa, Solifi, Sofico and Oracle, is considered a significant advantage.

We offer a solid and competitive package of compensation and benefits, plus you will enjoy a diverse working environment with a culture of care and inclusion. As an investment, we support your personal development and growth to achieve your career aspirations. Volvo Financial Services is an on-site business, and we understand that you might need occasional or temporary flexibility, which your leader is equipped to manage and fits well to our culture, as well as develop you for continued success.

If you are ready to take on a challenge in a dynamic environment and have a curious mind eager to contribute to creating tomorrow's transport and digital service solutions, we welcome your application!   Last application date: 30 Jun 2026 Application screening will start immediately; we look forward to receiving your application as soon as possible.  Location: This position is based onsite at the VFS office in Gothenburg, Sweden. Remote or hybrid arrangements are not applicable for this role.Timing:    ASAP

We value your data privacy and therefore do not accept applications via mail. 

Är du en Data Engineer som vill mer än bara leverera projekt? Vår kund bygger inte bara dataplattformar. De bygger ett bolag där skickliga konsulter får möjlighet att påverka, utvecklas och ta del av värdeskapandet. De är ett specialistbolag inom Data Analytics med stark tillväxt, stabil lönsamhet och en tydlig plan framåt. Sedan start har de vuxit till ett team av seniora konsulter som hjälper några av Sveriges mest spännande företag att utveckla moderna dataplattformar, AI-lösningar och avancerade analysförmågor. Nu söker de fler Data Engineers som vill vara med på nästa resa.

Som Data Engineer arbetar du nära kunder med att designa, bygga och vidareutveckla moderna dataplattformar. Du fångar verksamhetens behov, omsätter dem till tekniska lösningar och använder moderna verktyg och AI-stöd för att leverera högkvalitativa lösningar. Uppdragen varierar från 6 månader till flera år och genomförs både självständigt och i team. Bland deras kunder finns aktörer inom bland annat bank, finans, försäkring och större svenska företag med omfattande behov inom data och analys.

Du kan exempelvis arbeta med:

• Design och implementation av dataplattformar
• ETL- och ELT-flöden
• Datamodellering och informationsarkitektur
• Cloud-native lösningar
• Automatisering och DevOps för data
• AI-drivna datalösningar
• Modernisering av befintliga analysplattformar

Tekniker som ofta används:

Dataplattformar Azure, Microsoft Fabric, Snowflake, Databricks, AWS, GCP

Programmering SQL, Python, Scala, Java

Data Engineering DBT, Airflow, Azure Data Factory, Kafka, Spark

DevOps GitHub Actions, Azure DevOps, CI/CD

Dataarkitektur Data Lake, Lakehouse, Medallion Architecture, Data Vault, Data Mesh

• Har relevant högskole- eller civilingenjörsexamen
• Har minst 4 års arbetserfarenhet som data engineer
• Har erfarenhet av moderna dataplattformar i molnet
• Har arbetat med exempelvis Azure, Snowflake eller Databricks
• Har goda kunskaper i SQL och Python
• Har erfarenhet av ETL/ELT, datamodellering och pipelineutveckling
• Erfarenhet av Git, CI/CD och moderna utvecklingsmetoder
• Talar och skriver flytande svenska och engelska, då båda språken nyttjas i det dagliga arbetet

Det viktigaste är dock inte exakt vilka verktyg du använt – utan att du har byggt lösningar på riktigt och förstår hur data skapar affärsvärde.

Vi tror att du är en person som trivs i konsultrollen och känner dig bekväm i dialogen med både kunder, verksamhet och tekniska team. Du har lätt för att bygga förtroende, kommunicera komplexa frågor på ett enkelt sätt och representerar alltid din arbetsgivare på ett professionellt sätt. Samtidigt drivs du av att lösa problem och tycker om att ta dig an komplexa utmaningar där du behöver analysera, förstå och hitta smarta lösningar. Du är nyfiken av naturen och håller dig uppdaterad kring utvecklingen inom data, molnteknik och AI. Kanske är du en av dem som gärna testar nya verktyg, bygger egna projekt eller utforskar ny teknik även utanför arbetstid. Framför allt tror vi att du har ett genuint intresse för teknik och en vilja att ständigt utvecklas tillsammans med kunder, kollegor och den snabbt föränderliga marknaden.

Vår kund är ett specialistkonsultbolag inom Data Engineering och AI med tydlig tillväxtplan. Under de kommande åren ska de fortsätta växa tillsammans med sina kunder och bygga ett av Sveriges mest uppskattade specialistbolag inom data och analys. De arbetar med moderna tekniker, seniora konsulter och kunder med stora behov inom dataplattformar och AI-transformation. Hos dem får du en senior och hjälpsam miljö med hög trivsel, möjlighet till hybridarbete, marknadsmässig lön samt bonusmodeller och möjlighet till delägarskap i deras dotterbolag. Stort fokus läggs även på kompetensutveckling och kunskapsdagar - de tror på långsiktighet, entreprenörskap och att duktiga människor vill vara med och påverka på riktigt.

Detta är en rekrytering där du kommer bli anställd direkt hos kundföretaget. Friday ansvarar för rekryteringsprocessen och alla frågor hänvisas till Friday.

• Omfattning: Heltid
• Start: Enligt överenskommelse
• Placering: Stockholm
• Rekryteringsansvarig: Alice Tegebro, alice.tegebro@friday.se
• Lön: Fast månadslön samt bonusmodeller

Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängs ner innan tjänsten är tillsatt om vi gått över till urvals och intervjufasen. Vi tar inte emot ansökningar via mail.

På Friday hjälper vi Tech-talanger att hitta roller där de trivs, utvecklas och gör skillnad. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet.

Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro.

Varje år genomför vi över  5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

Want to be a key player building and operating the technical data foundation behind one of the Nordics’ most well-known e-commerce marketplaces?

At CDON Group, data is a critical asset used across the entire organization, but also as a foundation for integrations, automation, and future AI-driven use cases. We’re now rebuilding and modernizing our data platform, and we’re looking for a Data Engineer who wants to work hands-on with data pipelines, infrastructure, and custom-built data solutions.

About us

Join us at CDON Group, a Swedish listed company with a long history and extensive experience in the e-commerce market. Our mission is to unleash the power of the marketplace to give the best shopping experience in the Nordics.

We are dedicated to providing great online shopping experiences and are on the lookout for a Data Engineer to join us on this journey for our two Nordic marketplaces: CDON and Fyndiq.

About the role

As a Data Engineer at CDON, you will have a central role in building, operating, and evolving the technical foundations of our data platform. You will work with data modeling in dbt, but also take responsibility for pipelines, infrastructure, and services that live outside the data warehouse.

You will be part of a small data team, working closely with the wider tech organization and with stakeholders across the business. The role includes both exploratory work and building solutions that are later productized and maintained together with the tech team.

Responsibilities includes

• Model and transform data using dbt and contribute to core data models

• Build, deploy, and maintain data pipelines from multiple source systems

• Develop and maintain Python-based services and applications for data use cases

• Work with infrastructure and deployments using Docker and Terraform

• Operate and maintain our self-hosted Airbyte setup for data ingestion

• Build technical solutions to support automation, data feeds, and AI use cases

• Troubleshoot and improve existing data flows and integrations

• Work closely with stakeholders to understand requirements and build sustainable technical solutions

Our tech stack is centered around dbt and Google BigQuery, together with Python, GCP, Docker, Terraform, and modern data ingestion and BI tools.

Qualifications and requirements

We’re looking for someone analytical and technically curious, who is comfortable working with both data and infrastructure. You enjoy solving practical problems and working in an environment where not everything is fully defined.

We’d especially like to see:

• 3+ years of experience as a Data Engineer, Analytics Engineer, or similar role

• Strong SQL skills and experience with data modeling

• Experience writing Python for data pipelines or services

• Experience working with cloud platforms, preferably Google Cloud

• Familiarity with Docker and infrastructure as code, such as Terraform

• Experience working with data ingestion tools and pipelines

• Post-secondary education in engineering, computer science, or similar, or equivalent work experience

• Professional fluency in Swedish, both written and spoken

Experience with self-hosted data tools, AI or ML-related workloads, and working in small tech organizations is considered a strong merit.

What we offer

• An opportunity to be part of a unique growth journey, actively contributing to the success of the leading e-commerce marketplaces in the Nordics.

• A collaborative and dynamic work environment, with passionate colleagues who believe in CDON Group’s mission

• Competitive compensation package, including benefits such as pension and insurance through Max Matthiessen and MyBenefit portal.

• Career growth opportunities within a rapidly evolving company.

Application Process:

Please attach your resume and a brief cover letter outlining your interest and suitability for the job. We will be conducting interviews with candidates on an ongoing basis.

To ensure a professional and unbiased assessment, we will ask candidates to perform a combination of logical reasoning and personality tests as part of the process.

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that.

With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time.

Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034.

About the role

We are looking for a Data Engineer to join our Data Analytics and ML team. We are looking for somebody who can continue building, improving, expanding and maintaining our data infrastructure and central back-end, from GCP fundamentals to collaborating with tech teams to set up their data serving pipelines, to enabling analytics engineers and domain experts to build data marts, dashboarding and data science efforts.

You are responsible for enabling other data experts in their developer experience, ensuring our data core platform is secure, stable and scalable, can run necessary pipelines for streaming and other sources, and serve data to other engineers or analysts in a reliable, compliant and convenient way.

Your work will be key to optimising the reliability and performance of our organisation and the different teams. You will build and maintain our data landscape, drive change in our tech and development processes, engineer solutions to enhance features, and be a part of our data architecture to propel solutions to further levels.

Your other responsibilities include:

• Enable data- and AI-driven software, insights and informed decisions through enabling data product building in an interoperable, agile and modern fashion

• Build components to enable data mesh distributed ownership of data assets, pipelines and analytics marts

• Develop end-to-end pipelines to ingest, transform and serve data assets

• Collaborate with analytics engineers, enabling them to move fast and efficiently in developing and managing data products based on raw source data

• Collaborate with software product development teams to allow them to to have autonomy in serving and consuming data in the landscape

• Introduce practices and tools to improve data reliability and performance

• Ingest crucial data to adjust future business strategies

Who are you

From a technical perspective, we would like you to have experience with:

• Data engineering, infrastructure as code, and building data pipelines and pipeline modules

• Streaming data, Kafka, schema registry

• Creating ELT/ETL pipelines for ingesting and transforming data

• Building, testing, and maintaining database and pipeline architectures

• Dagster, DBT, DLT, GCP, AWS

• Python, SQL, Java, Terraform

• GitHub CICD and deployment pipelines

• Kubernetes

• Lint and other code hygiene CI practices

• Data/analytics/ML in any major cloud platform

As a person, we would like you to be:

• Adaptable and hands-on solution while taking into account/having an interest for the holistic perspective

• A quick learner with a willingness to share knowledge

• A strong communicator and team player

At Aira, we champion the next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.

Vill du arbeta i gränslandet mellan teknik, data och affär? Trivs du med att förstå hur information flödar mellan system och vill vara med och utveckla framtidens datalösningar inom e-handel, produktinformation och analys? Då kan detta vara rollen för dig!

Vår kund befinner sig i en spännande utvecklingsfas med flera stora IT-initiativ parallellt. Bland annat pågår utveckling av en ny dataplattform, modernisering av affärskritiska system samt vidareutveckling av verksamhetens e-handelslösningar. För att stärka teamet söker vi nu en Data & Systemspecialist som vill vara med och utveckla och förvalta företagets produkt- och fordonsdata.

Du blir en del av ett team som ansvarar för masterdata, produktinformation, e-handel och analys. Här arbetar du nära verksamheten för att säkerställa att data hanteras, struktureras och flödar mellan olika system på ett effektivt sätt. Rollen kombinerar tekniskt arbete med verksamhetsförståelse och passar dig som tycker om att analysera problem, förbättra processer och omsätta affärsbehov till tekniska lösningar.

Organisationen är platt med korta beslutsvägar och ett stort fokus på digital utveckling. För rätt person finns stora möjligheter att påverka både rollen och framtida initiativ.

ARBETSUPPGIFTER:

· Arbeta med produkt- och fordonsdata i företagets olika affärskritiska system· Hantera och vidareutveckla lösningar kopplade till PIM-system och masterdata· Arbeta med integrationer mellan olika system och plattformar· Specificera, analysera och dokumentera dataflöden· Utveckla och underhålla SQL-script och databaskopplingar· Arbeta med API-integrationer och automatisering av datahantering· Samarbeta med verksamheten kring strukturering av produktinformation och kategorisering inom e-handel· Delta i utvecklingen av företagets moderna dataplattform och analyslösningar

· Har en eftergymnasial utbildning inom exempelvis systemutveckling, datateknik, industriell ekonomi, informationsteknik eller liknande område· Har erfarenhet av SQL och databashantering· Har förståelse för systemintegrationer, API:er och dataflöden· Har ett intresse för både teknik och verksamhetsutveckling· Talar och skriver obehindrat på svenska och engelska då båda språken används i organisationen

Det är meriterande om du har:

· Erfarenhet av PIM-system eller masterdatahantering· Erfarenhet av Python, JavaScript eller liknande språk· Erfarenhet av e-handel eller produktinformationshantering· Erfarenhet av Snowflake eller moderna dataplattformar· Civilingenjörsexamen eller motsvarande teknisk utbildning

För att trivas i rollen tror vi att du är analytisk, nyfiken och lösningsorienterad. Du tycker om att förstå komplexa sammanhang och kan växla mellan tekniska detaljer och verksamhetens behov. Vidare är du initiativtagande och uppskattar att arbeta i en miljö där du får stort eget ansvar och möjlighet att påverka.

Kundföretaget är ett väletablerat och marknadsledande bolag inom fordonsbranschen som genomgår en omfattande digital transformation. Företaget är privatägt, lönsamt och fortsätter att ta marknadsandelar genom långsiktiga satsningar på digitalisering, data och moderna IT-lösningar.

IT-organisationen består av cirka 40 medarbetare fördelade på flera specialistteam inom utveckling, integration, affärssystem, infrastruktur, data och analys. Här erbjuds du möjligheten att arbeta i en verksamhet där IT har en central roll i företagets framtida utveckling.

Detta är ett konsultuppdrag vilket innebär att du kommer till en början att vara anställd av Friday. Ambitionen från Kunden och vår sida är att du efter 12 månader blir direktanställd hos kunden.  

Under anställningen erbjuds du kontinuerlig kompetensutveckling genom Fridays utbildningssatsningar, där du får möjlighet att stärka både dina tekniska och professionella färdigheter parallellt med ditt arbete hos kunden.

· Omfattning: Heltid· Start: Enligt överenskommelse· Placering: Sollentuna· Hybridarbete: Möjlighet att arbeta hemifrån cirka två dagar per vecka· Lön: Marknadsmässig månadslön

Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängs ner innan tjänsten är tillsatt om vi gått över till urvals- och intervjufasen. Vi tar inte emot ansökningar via mail.

På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet.

Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas.

Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

Sökord: SQL, Master Data, PIM, Data Management, Systemspecialist, Integrationer, API, Snowflake, Python, JavaScript, E-handel, Produktinformation, Data Engineer, Business Systems, Fordonsdata, Dataplattform.

Introduction

In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

Introduction

In IBM Consulting we're growing our team and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors.

You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable.

You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering.

You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions.

Depending on the project, this could involve:

• Designing and implementing modern data platforms
• Building robust ETL/ELT pipelines and data products
• Working with cloud-native services and infrastructure
• Enabling analytics, AI, and machine learning use cases
• Improving data quality, observability, governance, and reliability
• Automating workflows and reducing operational overhead

Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong foundation in Python and SQL
• Experience with at least one of these cloud platforms (Azure, GCP, AWS)
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake)
• Experience in agile processes and methods
• Fluency in Swedish and English in speech and writing
• The right to work in Sweden without restrictions at the time of application

Preferred technical and professional experience

• Experience working with Spark (e.g., through PySpark)
• Experience building BI dashboards (e.g., PowerBI, Looker Studio)
• Good understanding of using and developing APIs (e.g., REST, GraphQL)
• Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink)
• Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform)
• Experience using and working with LLMs and VLMs
• Experience with vector databases and using them for a RAG solution
• Experience working with MLOps infrastructure (e.g., MLflow)
• Experience with other programming languages (e.g., Go, TypeScript, Java)
• Experience using common ML frameworks (e.g., PyTorch)
• Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook)
• Good understanding of data and AI governance (e.g., GDPR, European AI Act)
• Good understanding of Agentic AI

This recruitment is conducted by Forefront Amplify on behalf of Verisure.

Verisure is a global leader in professionally monitored security solutions, protecting over five million customers across 17 countries. We combine the drive of a startup with the scale of a global company - fast-paced, high-performing, and deeply value-driven. Now we’re looking for a BI Developer who wants to play a key role and be the bridge between data and decision-making.

Ready to turn data into insights that truly make a difference?

As a BI Developer, you’ll be part of a dynamic, collaborative team where you work closely with stakeholders across both tech and business. You’ll transform complex, real-time data into actionable insights that support innovation, product development and strategic decision-making within the organization - ultimately helping to protect homes and save lives.

Your main focus will be on SQL, PowerBI and our modern data platform (Snowflake, Azure). Your work will include designing data models and pipelines, building powerful dashboards and ensuring data quality across multiple sources.

You will be responsible for:

• Working extensively with databases and advanced SQL to ensure high data quality, availability and performance across multiple data sources.

• Developing impactful dashboards and reports in Microsoft Power BI.

• Designing and maintaining scalable data models and BI solutions within a modern Azure/Snowflake-based data platform.

• Collaborating closely with business stakeholders to understand needs and turn them into data-driven solutions.

We are looking for experience with:

• Strong SQL and database knowledge.

• Power BI and experience working with BI/data platforms and data modeling.

• Curiosity and eagerness to develop further within BI and cloud platforms, ideally Azure and Snowflake.

• A collaborative mindset and the desire to contribute to a culture of teamwork and growth.

Support to Succeed

We know stepping into a fast-paced role with big responsibilities can feel overwhelming. Through Forefront Amplify, you’ll receive mentorship in your daily work and professional development, training to strengthen your technical expertise, and coaching to build both confidence and skills.

About Verisure

Verisure offers industry-leading security solutions that protect homes and save lives. Our unique business model integrates product development, installation, service, and 24/7 professional monitoring – all under one roof. That means fast decisions, real impact, and plenty of opportunities for tech talent to thrive.

Today, we’re over 25,000 colleagues across Europe and South America – and growing rapidly.

The Process

Forefront Amplify is leading this recruitment process. We work closely with Verisure and strive to build diverse, high-performing teams.

If this sounds like your kind of challenge - we’d love to hear from you.

Uddeholms AB

Uddeholms AB är en av världens ledande tillverkare av verktygsstål, med kunder över hela världen. Vi är stolta över vår teknik- och innovationsavdelning, som är världsledande inom digitalisering, AI och energieffektivisering. Vår forsknings- och utvecklingsavdelning, belägen i Hagfors, är den största i världen inom verktygsstål.

Data Engineer – Data Analytics & AI | Uddeholm, Hagfors

Nu förstärker vi vårt team inom Data Analytics & AI och söker en Data Engineer som vill vara med och bygga datagrunden för framtidens industriella lösningar.

Tjänsten är heltid och tillsvidare.

Din roll

Som Data Engineer hos oss spelar du en central roll i att göra data tillgänglig, tillförlitlig och användbar – från produktion till affärsbeslut. Du arbetar nära både verksamheten och våra AI- och analysspecialister och bidrar till att utveckla en modern dataplattform.

Du blir en del av vårt Data Engineering-team och arbetar med att designa, bygga och vidareutveckla skalbara datalösningar. Rollen omfattar både klassiska data engineering-uppgifter och ett framåtblickande arbete där vi successivt utvecklar vår plattform och vårt arbetssätt.

Dina huvudsakliga arbetsuppgifter inkluderar:

Dataarkitektur och Modellering: Designa och implementera robusta och skalbara datamodeller och arkitekturer för att möta företagets behov.

Datahantering och Integration: Utveckla och implementera processer för att extrahera, transformera och ladda (ETL) data från olika källor till datalager.

Datakvalitet och Säkerhet: Implementera metoder för att säkerställa datakvalitet och hantera säkerhetsaspekter av data, inklusive åtkomstkontroller.

Verktyg och Teknik: Arbeta med olika datahanteringsverktyg och teknologier, som databasplattformar, big data-ramverk och molnbaserade tjänster.

Optimering av Prestanda: Kontinuerligt övervaka och optimera prestanda för databehandlingsprocesser och queries för att säkerställa snabba svarstider.

Dokumentation: Skapa och upprätthålla dokumentation för datamodeller, ETL-processer och andra relevanta systemkomponenter

Din profil

Vi söker dig som har en stabil teknisk grund och ett starkt intresse för data, problemlösning och modern teknik. Du har en relevant utbildning inom datavetenskap, datateknik, systemutveckling eller motsvarande erfarenhet. Du har god kunskap inom databaser och datahantering samt erfarenhet av programmering, exempelvis Python eller SQL. Du kommunicerar obehindrat i både svenska och engelska.

Meriterande erfarenheter

Vi ser det som extra värdefullt om du har erfarenhet av Microsoft Fabric eller liknande moderna dataplattformar, arbete enligt DataOps-principer såsom CI/CD, testning och monitorering av datapipelines samt automatisering av dataflöden och processer. Erfarenhet av att hantera stora datamängder med exempelvis Spark är också meriterande. Det är även positivt om du har arbetat med versionshantering i Git och har erfarenhet från tillverkningsindustri.

Personliga Egenskaper

Du är en nyfiken och lösningsorienterad person som gillar att omsätta idéer till fungerande lösningar. Du arbetar strukturerat och kvalitetsmedvetet, samtidigt som du är pragmatisk och får saker att hända i praktiken. Du trivs i samarbete med andra men kan också driva ditt arbete framåt självständigt. För att trivas hos oss är det viktigt att du arbetar i linje med våra värderingar; respekt, tillit, kundfokus och värdeskapande.

Ansökan

Har du frågor om rollen? Kontakta Anton Möller, Head of Data Analytics & AI, på anton.moeller@uddeholm.com

Sista ansökningsdag: 2026-07-19

Urval sker löpande – skicka in din ansökan redan idag.

Vi tar endast emot ansökningar via Varbi

Vi på Uddeholm tillverkar verktygsstål som formar produkter som finns överallt i vår vardag. Vi formar världen på ett hållbart sätt som är schysst mot både människa och miljö. På så sätt kan vi fortsätta forma världen, idag och för framtida generationer.