Ingenjör inom data/elektronik - Lediga jobb

Scandinavian Airlines System SAS

At SAS, data is the engine behind everything we build from AI models and personalized offers to real-time operational intelligence. As Lead Data Engineer, you will strengthen the engineering foundation that makes all of it possible: reliable, scalable, well-operated data products, pipelines, and integrations. You will work closely with the Data Architect to turn architectural direction into practical engineering standards, modern DataOps practices, and production-ready solutions that create real business impact. 

We are looking for a Lead Data Engineer who will act as a senior engineering leader and close partner to the Data Architect, driving the development of scalable and reliable data solutions across SAS. You will lead the implementation of engineering standards for data testing, observability, monitoring, , SLAs, version control, and DataOps practices, while supporting teams in adopting modern software engineering practices. 

You will work at the technical frontier of our data stack, leading implementation choices, code reviews, technical standards, and engineering quality across data products, pipelines, and integrations. In close collaboration with the Data Architect, Data Scientists, ML Engineers, and business stakeholders, you will bring modern perspectives on data products, DataOps, and software engineering craft, while ensuring solutions are aligned with the broader enterprise architecture and stakeholder priorities. 

As Lead Data Engineer you will bring deep engineering expertise and hands-on DataOps leadership, helping transform architectural intent into robust, maintainable, and production-ready solutions. 

Your responsibilities include: 

• Lead the design, development, and operation of scalable data pipelines, data products, and integrations. 
• Establish and drive engineering standards for testing, documentation, observability, monitoring, , SLAs, version control, and DataOps. 
• Partner with the Data Architect to translate architectural direction into practical implementation patterns and reusable engineering standards. 
• Lead code reviews and drive continuous improvement of engineering practices across the team. 
• Mentor and support data engineers and DataOps engineers in modern tools, standards, and software engineering practices. 
• Collaborate with architecture, data stewardship, IT, cloud teams, and business stakeholders to ensure solutions meet quality, security, governance and operational requirements.

The Analytics & Data team develops and manages the data infrastructure that powers AI, analytics, and business operations at SAS. We build and maintain data pipelines, data products, and enterprise integrations on a modern cloud platform. 

Working closely with the AI & Automation team, analysts, and business units across SAS we ensure that trusted and accessible data is available where it is needed. Our work spans batch and near-real-time pipelines, data product development, and integration with core operational systems. 

As SAS continues to expand its AI and analytics capabilities — including a new Customer Data Platform, agentic AI pilots, and an expanding BI estate — the demand for high-quality and well-engineered data infrastructure continues to grow. We are looking for a lead who can drive this forward. 

• A degree in computer science, engineering, or a related field. 
• At least 5 years of hands-on data engineering experience, including experience in a senior or lead role. 
• Strong skills in SQL and Python, with experience in Spark or similar distributed processing frameworks. 
• Experience building and operating cloud-based data pipelines, preferably in Azure using services such as Azure Data Factory, Azure Databricks, Synapse, or equivalent. 
• Solid understanding of data modelling, data warehouse design, data lake architecture, and enterprise data solutions. 
• Practical experience with DataOps, version control, CI/CD, automated testing, monitoring, alerting, and operational SLAs. 
• Experience with orchestration and transformation tools such as Azure Data Factory, Airflow, Prefect, Lakeflow, or dbt. 
• Strong mentoring skills and an passion for helping others grow through clear standards, documentation, and practical guidance. 
• A collaborative mindset, strong communication skills, and the ability to bring practical engineering perspectives into architectural discussions. 

• Apply by: 11/09/2026. We review applications continuously, so please send us your CV as soon as you can. The role may be filled before the deadline. 
• Start and scope: Full-time role, starting with a 6-month probation period. 
• Location: You’ll be based at our office in Frösundavik, Solna, Stockholm. This is mainly an onsite role, with some flexibility for remote work depending on the agreement with your manager. 
• Security: As this role is security classified, a background check will be part of the final stage of the recruitment process. 

If you have any questions about the role, please contact Jonas Blomqvist, Head of Analytics & Data, at jonas.blomqvist@sas.se. Please note that, due to GDPR, we can’t accept applications by email. 

Scandinavian Airlines System SAS

At SAS we are passionate about using data as a strategic asset to reshape Scandinavian aviation. That starts with trusted, well-governed data. As our Lead Data Steward, you will play a foundational role in ensuring that SAS data is accurate, consistent, secure, and fit for AI and analytics.

We are looking for an experienced Lead Data Steward to establish and drive data governance at SAS. You will define how data quality, metadata, data lineage, and access policies are managed across the organization — making data usable and trusted across AI, analytics, and business operations. 

As Lead data steward you will work at the intersection of business, technology, and compliance. You will collaborate with Data Engineers, Data Scientists, Architects, Legal, and business stakeholders to embed governance into data products and pipelines from the start. 

Your responsibilities include: 

• Define and drive the SAS data governance framework: policies, standards, processes, and ownership model. 
• Build and maintain the enterprise data catalogue ensuring metadata, definitions, lineage, and ownership are documented and up to date. 
• Establish and monitor data quality standards across critical data domains (customer, loyalty, commercial, operations). 
• Lead the data stewardship network across business units, ensuring accountability at domain level 
• Collaborate with Legal, Security, and IT to ensure compliance with relevant regulations. 
• Drive data classification and access management practices in partnership with IT Security.

SAS is building a modern Data & AI function that owns the strategic direction for data and AI across the company, from portfolio and roadmap to governance, compliance, and solution architecture. 

We work closely with business units and technical teams to ensure that the data foundation is trusted, scalable, and fit for future growth. We define the frameworks, standards, and practices that enable our data scientists, data and AI engineers, and analysts to move fast. 

As our Data & AI capabilities continue to grow, data governance has become increasingly business critical. We are looking for a lead who can help establish and scale this capability across SAS.

• A degree in information management, computer science, data management, or a related field. 
• At least 5 years of experience in data governance, data management, or related discipline. 
• Hands-on experience with data catalogue tools (e.g. Collibra, Alation, Microsoft Purview) and data quality platforms. 
• Strong understanding of data management frameworks. 
• Experience defining data ownership models and partnering with business and technical data stewards. 
• Knowledge of GDPR and data privacy regulations and their practical implications for data governance. 
• Ability to translate technical data concepts into clear business language for non-technical stakeholders. 
• Strong stakeholder management and communication skills — you will influence without authority. 
• A structured, methodical approach combined with the ability to prioritize in a fast-moving environment. 

At SAS, we are dedicated to caring for each other, delighting our travelers, and driving the transformation towards sustainable aviation. As a future colleague on our team, you'll join a culture where we work collaboratively towards common goals, recognize each other's contributions, and celebrate successes. Our focus is on safe, sustainable, and punctual execution, and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive, grow, and take ownership of your work. Join us at SAS and be part of shaping the future of aviation! 

Come and fly with us! 

• Apply by: 11/09/2026. We review applications continuously, so please send us your CV as soon as you can. The role may be filled before the deadline. 
• Start and scope: Full-time role, starting with a 6-month probation period. 
• Location: You’ll be based at our office in Frösundavik, Solna, Stockholm. This is mainly an onsite role, with some flexibility for remote work depending on the agreement with your manager. 
• Security: As this role is security classified, a background check will be part of the final stage of the recruitment process.

If you have any questions about the role, please contact Jonas Blomqvist, Head of Analytics & Data, at jonas.blomqvist@sas.se. Please note that, due to GDPR, we can’t accept applications by email. 

Om rollen

Vi rekryterar nu till ett mycket attraktivt konsultbolag i Stockholm som söker Data Engineers till sitt växande team.

I denna roll får du arbeta i tekniskt avancerade uppdrag hos kunder, med fokus på att bygga moderna dataplattformar och lösningar som faktiskt används i verksamheten.

Du arbetar med att utveckla datapipelines, strukturera och modellera data samt bygga skalbara lösningar i molnmiljö. Rollen innebär att du ofta är med i hela kedjan – från datainhämtning till färdig lösning – och arbetar nära både teknik- och affärssidan.

Kvalifikationer:

Vi tror att du har en bakgrund inom data eller systemutveckling och vill arbeta mer med moderna dataplattformar och molnbaserade lösningar.

Vi tror att du har:

• Några års erfarenhet inom data engineering, backend eller liknande
• Goda kunskaper i SQL
• 
  
• Erfarenhet av att arbeta med data i någon form (t.ex. pipelines, transformation eller modellering)
• Erfarenhet av moln (Azure, AWS eller GCP) är ett plus

Det är extra intressant om du har jobbat med:

• Databricks, Snowflake eller dbt
• 
  
• Python eller liknande språk
• 
  
• Dataplattformar eller data warehouse-lösningar

Arbetsuppgifter

• Utveckla och underhålla datapipelines
• Arbeta med datamodellering och strukturering av data
• Bygga och förbättra dataplattformar i molnmiljö
• Samarbeta med olika team för att förstå och lösa databehov
• Bidra till att skapa skalbara och hållbara datalösningar

Företaget erbjuder:

Du anställs hos ett välrenommerat och mycket attraktivt konsultbolag med starkt fokus på data, teknik och utveckling.

• Spännande uppdrag inom data och moln
• Möjlighet att arbeta med moderna verktyg och tekniker
• Stor frihet och möjlighet att påverka ditt arbete
• Samarbete med kunniga och engagerade kollegor
• Goda utvecklingsmöjligheter

Ansökan

Skicka ditt CV och några rader om dig själv till:

📩 JC@happygroup.se

Vid frågor om tjänsten, vänligen kontakta:

📧 Melvin@happygroup.se

Urval sker löpande och vi återkommer alltid till relevanta kandidater inom 24 timmar – vi ser fram emot att höra från dig!

Scandinavian Airlines System SAS

At SAS, data is the engine behind everything we build from AI models and personalized offers to real-time operational intelligence. As Lead Data Engineer, you will strengthen the engineering foundation that makes all of it possible: reliable, scalable, well-operated data products, pipelines, and integrations. You will work closely with the Data Architect to turn architectural direction into practical engineering standards, modern DataOps practices, and production-ready solutions that create real business impact. 

We are looking for a Lead Data Engineer who will act as a senior engineering leader and close partner to the Data Architect, driving the development of scalable and reliable data solutions across SAS. You will lead the implementation of engineering standards for data testing, observability, monitoring, , SLAs, version control, and DataOps practices, while supporting teams in adopting modern software engineering practices. 

You will work at the technical frontier of our data stack, leading implementation choices, code reviews, technical standards, and engineering quality across data products, pipelines, and integrations. In close collaboration with the Data Architect, Data Scientists, ML Engineers, and business stakeholders, you will bring modern perspectives on data products, DataOps, and software engineering craft, while ensuring solutions are aligned with the broader enterprise architecture and stakeholder priorities. 

As Lead Data Engineer you will bring deep engineering expertise and hands-on DataOps leadership, helping transform architectural intent into robust, maintainable, and production-ready solutions. 

Your responsibilities include: 

• Lead the design, development, and operation of scalable data pipelines, data products, and integrations. 
• Establish and drive engineering standards for testing, documentation, observability, monitoring, , SLAs, version control, and DataOps. 
• Partner with the Data Architect to translate architectural direction into practical implementation patterns and reusable engineering standards. 
• Lead code reviews and drive continuous improvement of engineering practices across the team. 
• Mentor and support data engineers and DataOps engineers in modern tools, standards, and software engineering practices. 
• Collaborate with architecture, data stewardship, IT, cloud teams, and business stakeholders to ensure solutions meet quality, security, governance and operational requirements.

The Analytics & Data team develops and manages the data infrastructure that powers AI, analytics, and business operations at SAS. We build and maintain data pipelines, data products, and enterprise integrations on a modern cloud platform. 

Working closely with the AI & Automation team, analysts, and business units across SAS we ensure that trusted and accessible data is available where it is needed. Our work spans batch and near-real-time pipelines, data product development, and integration with core operational systems. 

As SAS continues to expand its AI and analytics capabilities — including a new Customer Data Platform, agentic AI pilots, and an expanding BI estate — the demand for high-quality and well-engineered data infrastructure continues to grow. We are looking for a lead who can drive this forward. 

• A degree in computer science, engineering, or a related field. 
• At least 5 years of hands-on data engineering experience, including experience in a senior or lead role. 
• Strong skills in SQL and Python, with experience in Spark or similar distributed processing frameworks. 
• Experience building and operating cloud-based data pipelines, preferably in Azure using services such as Azure Data Factory, Azure Databricks, Synapse, or equivalent. 
• Solid understanding of data modelling, data warehouse design, data lake architecture, and enterprise data solutions. 
• Practical experience with DataOps, version control, CI/CD, automated testing, monitoring, alerting, and operational SLAs. 
• Experience with orchestration and transformation tools such as Azure Data Factory, Airflow, Prefect, Lakeflow, or dbt. 
• Strong mentoring skills and an passion for helping others grow through clear standards, documentation, and practical guidance. 
• A collaborative mindset, strong communication skills, and the ability to bring practical engineering perspectives into architectural discussions. 

• Apply by: 11/09/2026. We review applications continuously, so please send us your CV as soon as you can. The role may be filled before the deadline. 
• Start and scope: Full-time role, starting with a 6-month probation period. 
• Location: You’ll be based at our office in Frösundavik, Solna, Stockholm. This is mainly an onsite role, with some flexibility for remote work depending on the agreement with your manager. 
• Security: As this role is security classified, a background check will be part of the final stage of the recruitment process. 

If you have any questions about the role, please contact Jonas Blomqvist, Head of Analytics & Data, at jonas.blomqvist@sas.se. Please note that, due to GDPR, we can’t accept applications by email. 

Scandinavian Airlines System SAS

At SAS we are passionate about using data as a strategic asset to reshape Scandinavian aviation. That starts with trusted, well-governed data. As our Lead Data Steward, you will play a foundational role in ensuring that SAS data is accurate, consistent, secure, and fit for AI and analytics.

We are looking for an experienced Lead Data Steward to establish and drive data governance at SAS. You will define how data quality, metadata, data lineage, and access policies are managed across the organization — making data usable and trusted across AI, analytics, and business operations. 

As Lead data steward you will work at the intersection of business, technology, and compliance. You will collaborate with Data Engineers, Data Scientists, Architects, Legal, and business stakeholders to embed governance into data products and pipelines from the start. 

Your responsibilities include: 

• Define and drive the SAS data governance framework: policies, standards, processes, and ownership model. 
• Build and maintain the enterprise data catalogue ensuring metadata, definitions, lineage, and ownership are documented and up to date. 
• Establish and monitor data quality standards across critical data domains (customer, loyalty, commercial, operations). 
• Lead the data stewardship network across business units, ensuring accountability at domain level 
• Collaborate with Legal, Security, and IT to ensure compliance with relevant regulations. 
• Drive data classification and access management practices in partnership with IT Security.

SAS is building a modern Data & AI function that owns the strategic direction for data and AI across the company, from portfolio and roadmap to governance, compliance, and solution architecture. 

We work closely with business units and technical teams to ensure that the data foundation is trusted, scalable, and fit for future growth. We define the frameworks, standards, and practices that enable our data scientists, data and AI engineers, and analysts to move fast. 

As our Data & AI capabilities continue to grow, data governance has become increasingly business critical. We are looking for a lead who can help establish and scale this capability across SAS.

• A degree in information management, computer science, data management, or a related field. 
• At least 5 years of experience in data governance, data management, or related discipline. 
• Hands-on experience with data catalogue tools (e.g. Collibra, Alation, Microsoft Purview) and data quality platforms. 
• Strong understanding of data management frameworks. 
• Experience defining data ownership models and partnering with business and technical data stewards. 
• Knowledge of GDPR and data privacy regulations and their practical implications for data governance. 
• Ability to translate technical data concepts into clear business language for non-technical stakeholders. 
• Strong stakeholder management and communication skills — you will influence without authority. 
• A structured, methodical approach combined with the ability to prioritize in a fast-moving environment. 

At SAS, we are dedicated to caring for each other, delighting our travelers, and driving the transformation towards sustainable aviation. As a future colleague on our team, you'll join a culture where we work collaboratively towards common goals, recognize each other's contributions, and celebrate successes. Our focus is on safe, sustainable, and punctual execution, and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive, grow, and take ownership of your work. Join us at SAS and be part of shaping the future of aviation! 

Come and fly with us! 

• Apply by: 11/09/2026. We review applications continuously, so please send us your CV as soon as you can. The role may be filled before the deadline. 
• Start and scope: Full-time role, starting with a 6-month probation period. 
• Location: You’ll be based at our office in Frösundavik, Solna, Stockholm. This is mainly an onsite role, with some flexibility for remote work depending on the agreement with your manager. 
• Security: As this role is security classified, a background check will be part of the final stage of the recruitment process.

If you have any questions about the role, please contact Jonas Blomqvist, Head of Analytics & Data, at jonas.blomqvist@sas.se. Please note that, due to GDPR, we can’t accept applications by email. 

• Regional sales strategy development and execution for Digitalization and Industrial AI solutions
• Opportunity identification and business development within the Oil & Gas, Fiber, Pulp & Paper, and Chemicals sectors
• Pipeline development and management to achieve annual order intake and revenue targets
• End-to-end leadership of complex sales engagements from opportunity discovery through contract award, with a focus on recurring software and services revenue
• Executive stakeholder relationship management and translation of strategic priorities into measurable business outcomes

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Automation, Business, or a related field; MBA or advanced degree preferred
• Good communication skills both verbal and written in one of the Nordics languages
• More than 5 years of experience in Sales, Solution Sales or equivalent
• Extensive professional experience in industrial sales, business development, or digital transformation sales, with a proven track record in target sectors
• Strong consultative selling capability, focusing on business outcomes and ROI rather than just technology features
• Technical expertise in digitalization, IT/OT integration, and process industry knowledge, including familiarity with IoT, predictive maintenance, and cloud models
• Excellent executive presence, communication skills, and strategic thinking abilities

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programs and learning materials are available for this purpose  

Don’t hesitate – apply via https://jobs.siemens-energy.com/en_US/jobs , id nr 301509 not later than 2026-09-18.

Ongoing selection is applied, the role might be filled before last application date.

We refrain from all contact with staffing and recruitment companies, or advertising brokers.

Location: Stockholm/Finspång 

Trade Union Representatives: Unionen, unionen.finspang.se@siemens-energy.com Sveriges Ingenjörer & SACO, asi.se@siemens-energy.com Ledarna, Anders Fors, anders.fors@siemens-energy.com IF Metall, Mikael Malmgren, mikael.malmgren@siemens-energy.com 

Om rollen

Vi rekryterar nu till ett mycket attraktivt konsultbolag i Stockholm som söker Data Engineers till sitt växande team.

I denna roll får du arbeta i tekniskt avancerade uppdrag hos kunder, med fokus på att bygga moderna dataplattformar och lösningar som faktiskt används i verksamheten.

Du arbetar med att utveckla datapipelines, strukturera och modellera data samt bygga skalbara lösningar i molnmiljö. Rollen innebär att du ofta är med i hela kedjan – från datainhämtning till färdig lösning – och arbetar nära både teknik- och affärssidan.

Kvalifikationer:

Vi tror att du har en bakgrund inom data eller systemutveckling och vill arbeta mer med moderna dataplattformar och molnbaserade lösningar.

Vi tror att du har:

• Några års erfarenhet inom data engineering, backend eller liknande
• Goda kunskaper i SQL
• 
  
• Erfarenhet av att arbeta med data i någon form (t.ex. pipelines, transformation eller modellering)
• Erfarenhet av moln (Azure, AWS eller GCP) är ett plus

Det är extra intressant om du har jobbat med:

• Databricks, Snowflake eller dbt
• 
  
• Python eller liknande språk
• 
  
• Dataplattformar eller data warehouse-lösningar

Arbetsuppgifter

• Utveckla och underhålla datapipelines
• Arbeta med datamodellering och strukturering av data
• Bygga och förbättra dataplattformar i molnmiljö
• Samarbeta med olika team för att förstå och lösa databehov
• Bidra till att skapa skalbara och hållbara datalösningar

Företaget erbjuder:

Du anställs hos ett välrenommerat och mycket attraktivt konsultbolag med starkt fokus på data, teknik och utveckling.

• Spännande uppdrag inom data och moln
• Möjlighet att arbeta med moderna verktyg och tekniker
• Stor frihet och möjlighet att påverka ditt arbete
• Samarbete med kunniga och engagerade kollegor
• Goda utvecklingsmöjligheter

Ansökan

Skicka ditt CV och några rader om dig själv till:

📩 JC@happygroup.se

Vid frågor om tjänsten, vänligen kontakta:

📧 Melvin@happygroup.se

Urval sker löpande och vi återkommer alltid till relevanta kandidater inom 24 timmar – vi ser fram emot att höra från dig!

Scandinavian Airlines System SAS

At SAS, data is the engine behind everything we build from AI models and personalized offers to real-time operational intelligence. As Lead Data Engineer, you will strengthen the engineering foundation that makes all of it possible: reliable, scalable, well-operated data products, pipelines, and integrations. You will work closely with the Data Architect to turn architectural direction into practical engineering standards, modern DataOps practices, and production-ready solutions that create real business impact. 

We are looking for a Lead Data Engineer who will act as a senior engineering leader and close partner to the Data Architect, driving the development of scalable and reliable data solutions across SAS. You will lead the implementation of engineering standards for data testing, observability, monitoring, , SLAs, version control, and DataOps practices, while supporting teams in adopting modern software engineering practices. 

You will work at the technical frontier of our data stack, leading implementation choices, code reviews, technical standards, and engineering quality across data products, pipelines, and integrations. In close collaboration with the Data Architect, Data Scientists, ML Engineers, and business stakeholders, you will bring modern perspectives on data products, DataOps, and software engineering craft, while ensuring solutions are aligned with the broader enterprise architecture and stakeholder priorities. 

As Lead Data Engineer you will bring deep engineering expertise and hands-on DataOps leadership, helping transform architectural intent into robust, maintainable, and production-ready solutions. 

Your responsibilities include: 

• Lead the design, development, and operation of scalable data pipelines, data products, and integrations. 
• Establish and drive engineering standards for testing, documentation, observability, monitoring, , SLAs, version control, and DataOps. 
• Partner with the Data Architect to translate architectural direction into practical implementation patterns and reusable engineering standards. 
• Lead code reviews and drive continuous improvement of engineering practices across the team. 
• Mentor and support data engineers and DataOps engineers in modern tools, standards, and software engineering practices. 
• Collaborate with architecture, data stewardship, IT, cloud teams, and business stakeholders to ensure solutions meet quality, security, governance and operational requirements.

The Analytics & Data team develops and manages the data infrastructure that powers AI, analytics, and business operations at SAS. We build and maintain data pipelines, data products, and enterprise integrations on a modern cloud platform. 

Working closely with the AI & Automation team, analysts, and business units across SAS we ensure that trusted and accessible data is available where it is needed. Our work spans batch and near-real-time pipelines, data product development, and integration with core operational systems. 

As SAS continues to expand its AI and analytics capabilities — including a new Customer Data Platform, agentic AI pilots, and an expanding BI estate — the demand for high-quality and well-engineered data infrastructure continues to grow. We are looking for a lead who can drive this forward. 

• A degree in computer science, engineering, or a related field. 
• At least 5 years of hands-on data engineering experience, including experience in a senior or lead role. 
• Strong skills in SQL and Python, with experience in Spark or similar distributed processing frameworks. 
• Experience building and operating cloud-based data pipelines, preferably in Azure using services such as Azure Data Factory, Azure Databricks, Synapse, or equivalent. 
• Solid understanding of data modelling, data warehouse design, data lake architecture, and enterprise data solutions. 
• Practical experience with DataOps, version control, CI/CD, automated testing, monitoring, alerting, and operational SLAs. 
• Experience with orchestration and transformation tools such as Azure Data Factory, Airflow, Prefect, Lakeflow, or dbt. 
• Strong mentoring skills and an passion for helping others grow through clear standards, documentation, and practical guidance. 
• A collaborative mindset, strong communication skills, and the ability to bring practical engineering perspectives into architectural discussions. 

• Apply by: 11/09/2026. We review applications continuously, so please send us your CV as soon as you can. The role may be filled before the deadline. 
• Start and scope: Full-time role, starting with a 6-month probation period. 
• Location: You’ll be based at our office in Frösundavik, Solna, Stockholm. This is mainly an onsite role, with some flexibility for remote work depending on the agreement with your manager. 
• Security: As this role is security classified, a background check will be part of the final stage of the recruitment process. 

If you have any questions about the role, please contact Jonas Blomqvist, Head of Analytics & Data, at jonas.blomqvist@sas.se. Please note that, due to GDPR, we can’t accept applications by email. 

Scandinavian Airlines System SAS

At SAS we are passionate about using data as a strategic asset to reshape Scandinavian aviation. That starts with trusted, well-governed data. As our Lead Data Steward, you will play a foundational role in ensuring that SAS data is accurate, consistent, secure, and fit for AI and analytics.

We are looking for an experienced Lead Data Steward to establish and drive data governance at SAS. You will define how data quality, metadata, data lineage, and access policies are managed across the organization — making data usable and trusted across AI, analytics, and business operations. 

As Lead data steward you will work at the intersection of business, technology, and compliance. You will collaborate with Data Engineers, Data Scientists, Architects, Legal, and business stakeholders to embed governance into data products and pipelines from the start. 

Your responsibilities include: 

• Define and drive the SAS data governance framework: policies, standards, processes, and ownership model. 
• Build and maintain the enterprise data catalogue ensuring metadata, definitions, lineage, and ownership are documented and up to date. 
• Establish and monitor data quality standards across critical data domains (customer, loyalty, commercial, operations). 
• Lead the data stewardship network across business units, ensuring accountability at domain level 
• Collaborate with Legal, Security, and IT to ensure compliance with relevant regulations. 
• Drive data classification and access management practices in partnership with IT Security.

SAS is building a modern Data & AI function that owns the strategic direction for data and AI across the company, from portfolio and roadmap to governance, compliance, and solution architecture. 

We work closely with business units and technical teams to ensure that the data foundation is trusted, scalable, and fit for future growth. We define the frameworks, standards, and practices that enable our data scientists, data and AI engineers, and analysts to move fast. 

As our Data & AI capabilities continue to grow, data governance has become increasingly business critical. We are looking for a lead who can help establish and scale this capability across SAS.

• A degree in information management, computer science, data management, or a related field. 
• At least 5 years of experience in data governance, data management, or related discipline. 
• Hands-on experience with data catalogue tools (e.g. Collibra, Alation, Microsoft Purview) and data quality platforms. 
• Strong understanding of data management frameworks. 
• Experience defining data ownership models and partnering with business and technical data stewards. 
• Knowledge of GDPR and data privacy regulations and their practical implications for data governance. 
• Ability to translate technical data concepts into clear business language for non-technical stakeholders. 
• Strong stakeholder management and communication skills — you will influence without authority. 
• A structured, methodical approach combined with the ability to prioritize in a fast-moving environment. 

At SAS, we are dedicated to caring for each other, delighting our travelers, and driving the transformation towards sustainable aviation. As a future colleague on our team, you'll join a culture where we work collaboratively towards common goals, recognize each other's contributions, and celebrate successes. Our focus is on safe, sustainable, and punctual execution, and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive, grow, and take ownership of your work. Join us at SAS and be part of shaping the future of aviation! 

Come and fly with us! 

• Apply by: 11/09/2026. We review applications continuously, so please send us your CV as soon as you can. The role may be filled before the deadline. 
• Start and scope: Full-time role, starting with a 6-month probation period. 
• Location: You’ll be based at our office in Frösundavik, Solna, Stockholm. This is mainly an onsite role, with some flexibility for remote work depending on the agreement with your manager. 
• Security: As this role is security classified, a background check will be part of the final stage of the recruitment process.

If you have any questions about the role, please contact Jonas Blomqvist, Head of Analytics & Data, at jonas.blomqvist@sas.se. Please note that, due to GDPR, we can’t accept applications by email. 

• Regional sales strategy development and execution for Digitalization and Industrial AI solutions
• Opportunity identification and business development within the Oil & Gas, Fiber, Pulp & Paper, and Chemicals sectors
• Pipeline development and management to achieve annual order intake and revenue targets
• End-to-end leadership of complex sales engagements from opportunity discovery through contract award, with a focus on recurring software and services revenue
• Executive stakeholder relationship management and translation of strategic priorities into measurable business outcomes

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Automation, Business, or a related field; MBA or advanced degree preferred
• Good communication skills both verbal and written in one of the Nordics languages
• More than 5 years of experience in Sales, Solution Sales or equivalent
• Extensive professional experience in industrial sales, business development, or digital transformation sales, with a proven track record in target sectors
• Strong consultative selling capability, focusing on business outcomes and ROI rather than just technology features
• Technical expertise in digitalization, IT/OT integration, and process industry knowledge, including familiarity with IoT, predictive maintenance, and cloud models
• Excellent executive presence, communication skills, and strategic thinking abilities

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programs and learning materials are available for this purpose  

Don’t hesitate – apply via https://jobs.siemens-energy.com/en_US/jobs , id nr 301509 not later than 2026-09-18.

Ongoing selection is applied, the role might be filled before last application date.

We refrain from all contact with staffing and recruitment companies, or advertising brokers.

Location: Stockholm/Finspång 

Trade Union Representatives: Unionen, unionen.finspang.se@siemens-energy.com Sveriges Ingenjörer & SACO, asi.se@siemens-energy.com Ledarna, Anders Fors, anders.fors@siemens-energy.com IF Metall, Mikael Malmgren, mikael.malmgren@siemens-energy.com