Schibsted News Media Ab

0 lediga jobb som "Civilingenjör i datateknik" hos "Schibsted News Media AB"

Senior Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow.
You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling.
As part of a newly formed team of Data / Analytics Engineers, you'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
Help define best practices for data modeling, transformation, testing, documentation, and governance
Mentor junior engineers and support the team in making good technical decisions
Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
Improve reliability, performance, cost-efficiency, and scalability of our data solutions
Contribute to a culture of ownership, learning, and continuous improvement
What we are looking forMust have
Solid experience as a Data Engineer or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience with data modeling and building data products for analytics or reporting
Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and ability to work well across teams
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with CI/CD, GitOps, and version control best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Experience with data quality, observability, governance, or access control
Experience as a senior engineer in a cross-functional environment
Why join us?
High ownership and influence in shaping technical direction and ways of working
Opportunity to shape trusted data products with real impact across Schibsted Media
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products.
You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions
Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop maintainable data models that support analytics, reporting, and AI use cases
Contribute to good practices for data modeling, transformation, testing, documentation, and governance
Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working
Help improve reliability, performance, cost-efficiency, and scalability of our data solutions
Participate in code reviews, technical discussions, and continuous improvement of our ways of working
Contribute to a culture of ownership, learning, and collaboration
What we are looking forMust have
3+ years experience as a Data Engineer, Analytics Engineer, or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience building data pipelines or data models for analytics, reporting, or product use cases
Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar
Ability to take ownership of tasks and deliver maintainable solutions
Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and willingness to learn from and contribute to the team
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with Snowflake, dbt, Airflow, or similar tools
Experience with CI/CD, version control, and engineering best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Interest in data quality, observability, governance, or access control
Experience working in a cross-functional or product-oriented environment
Why join us?
Opportunity to build trusted data products with real impact across Schibsted Media
A role with ownership, learning opportunities, and support from experienced colleagues
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Senior Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow.
You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling.
As part of a newly formed team of Data / Analytics Engineers, you'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
Help define best practices for data modeling, transformation, testing, documentation, and governance
Mentor junior engineers and support the team in making good technical decisions
Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
Improve reliability, performance, cost-efficiency, and scalability of our data solutions
Contribute to a culture of ownership, learning, and continuous improvement
What we are looking forMust have
Solid experience as a Data Engineer or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience with data modeling and building data products for analytics or reporting
Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and ability to work well across teams
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with CI/CD, GitOps, and version control best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Experience with data quality, observability, governance, or access control
Experience as a senior engineer in a cross-functional environment
Why join us?
High ownership and influence in shaping technical direction and ways of working
Opportunity to shape trusted data products with real impact across Schibsted Media
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products.
You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions
Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop maintainable data models that support analytics, reporting, and AI use cases
Contribute to good practices for data modeling, transformation, testing, documentation, and governance
Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working
Help improve reliability, performance, cost-efficiency, and scalability of our data solutions
Participate in code reviews, technical discussions, and continuous improvement of our ways of working
Contribute to a culture of ownership, learning, and collaboration
What we are looking forMust have
3+ years experience as a Data Engineer, Analytics Engineer, or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience building data pipelines or data models for analytics, reporting, or product use cases
Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar
Ability to take ownership of tasks and deliver maintainable solutions
Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and willingness to learn from and contribute to the team
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with Snowflake, dbt, Airflow, or similar tools
Experience with CI/CD, version control, and engineering best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Interest in data quality, observability, governance, or access control
Experience working in a cross-functional or product-oriented environment
Why join us?
Opportunity to build trusted data products with real impact across Schibsted Media
A role with ownership, learning opportunities, and support from experienced colleagues
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Senior Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow.
You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling.
As part of a newly formed team of Data / Analytics Engineers, you'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
Help define best practices for data modeling, transformation, testing, documentation, and governance
Mentor junior engineers and support the team in making good technical decisions
Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
Improve reliability, performance, cost-efficiency, and scalability of our data solutions
Contribute to a culture of ownership, learning, and continuous improvement
What we are looking forMust have
Solid experience as a Data Engineer or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience with data modeling and building data products for analytics or reporting
Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and ability to work well across teams
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with CI/CD, GitOps, and version control best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Experience with data quality, observability, governance, or access control
Experience as a senior engineer in a cross-functional environment
Why join us?
High ownership and influence in shaping technical direction and ways of working
Opportunity to shape trusted data products with real impact across Schibsted Media
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products.
You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions
Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop maintainable data models that support analytics, reporting, and AI use cases
Contribute to good practices for data modeling, transformation, testing, documentation, and governance
Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working
Help improve reliability, performance, cost-efficiency, and scalability of our data solutions
Participate in code reviews, technical discussions, and continuous improvement of our ways of working
Contribute to a culture of ownership, learning, and collaboration
What we are looking forMust have
3+ years experience as a Data Engineer, Analytics Engineer, or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience building data pipelines or data models for analytics, reporting, or product use cases
Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar
Ability to take ownership of tasks and deliver maintainable solutions
Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and willingness to learn from and contribute to the team
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with Snowflake, dbt, Airflow, or similar tools
Experience with CI/CD, version control, and engineering best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Interest in data quality, observability, governance, or access control
Experience working in a cross-functional or product-oriented environment
Why join us?
Opportunity to build trusted data products with real impact across Schibsted Media
A role with ownership, learning opportunities, and support from experienced colleagues
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Senior Data Engineer in Data Product Engineering
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 30 december (5 månader och 17 dagar kvar)
Publicerad: 2026-07-03
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands.
In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams.
You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We are looking for someone who can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow.
You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data.
As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling.
As part of a newly formed team of Data / Analytics Engineers, you'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey.
What you will do
Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
Help define best practices for data modeling, transformation, testing, documentation, and governance
Mentor junior engineers and support the team in making good technical decisions
Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
Improve reliability, performance, cost-efficiency, and scalability of our data solutions
Contribute to a culture of ownership, learning, and continuous improvement
What we are looking forMust have
Solid experience as a Data Engineer or similar role
Strong SQL skills and good understanding of data warehousing concepts
Experience with data modeling and building data products for analytics or reporting
Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and ability to work well across teams
Nice to have
Experience with Python or scripting for data engineering workflows
Experience with CI/CD, GitOps, and version control best practices
Experience with cloud platforms such as AWS, GCP, or Azure
Experience with data quality, observability, governance, or access control
Experience as a senior engineer in a cross-functional environment
Why join us?
High ownership and influence in shaping technical direction and ways of working
Opportunity to shape trusted data products with real impact across Schibsted Media
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted’s media products, including premium news and podcasts
About you
You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.
You are comfortable working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration.
When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content.
If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 30 december (5 månader och 17 dagar kvar)
Ansök här
Data Engineer
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 2 januari (5 månader och 20 dagar kvar)
Publicerad: 2026-07-06
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media.
We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products.
In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media.
You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices.
You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area.
What you'll do
Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions
Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python
Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media
Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices
Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform
Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams
Develop maintainable data models that support analytics, reporting, and AI use cases
Contribute to good practices for data modeling, transformation, testing, documentation, and governance
Participate in code reviews, technical discussions, and continuous improvement of our ways of working
Contribute to a culture of ownership, learning, and collaboration
What we're looking forMust have
4+ years of experience as a Data Engineer or similar role
Strong SQL skills and a good understanding of modern data warehousing concepts
Experience building data pipelines and working with orchestration tools such as Airflow or similar
Hands-on experience with dbt and modern data transformation practices
Experience with Python for data engineering or automation
Experience with Git and modern software engineering practices
Ability to take ownership of tasks and deliver maintainable solutions
Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and willingness to learn from and contribute to the team
Nice to have
Experience with software engineering practices such as automated testing, CI/CD, and code review workflows
Experience with Snowflake or similar cloud data platforms
Experience with Infrastructure as Code (Terraform or similar)
Experience with AWS, GCP, or Azure
Interest in data quality, observability, governance, or platform engineering
Why join us?
Build the platform that enables data and AI across Schibsted Media
Work with modern technologies and experienced engineers across multiple teams
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted's premium media products, including news and podcasts
About you
You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed.
You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 2 januari (5 månader och 20 dagar kvar)
Ansök här
Data Engineer
Arbetsgivare / Ort:Schibsted News Media AB / Stockholm
Omfattning / Varaktighet:Vanlig anställning / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 2 januari (5 månader och 20 dagar kvar)
Publicerad: 2026-07-06
Källa: Arbetsförmedlingen
Ansök här
Om jobbet
Join the Data & AI journey at Schibsted Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media.
We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products.
In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.
About the role
We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media.
You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices.
You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area.
What you'll do
Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions
Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python
Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media
Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices
Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform
Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams
Develop maintainable data models that support analytics, reporting, and AI use cases
Contribute to good practices for data modeling, transformation, testing, documentation, and governance
Participate in code reviews, technical discussions, and continuous improvement of our ways of working
Contribute to a culture of ownership, learning, and collaboration
What we're looking forMust have
4+ years of experience as a Data Engineer or similar role
Strong SQL skills and a good understanding of modern data warehousing concepts
Experience building data pipelines and working with orchestration tools such as Airflow or similar
Hands-on experience with dbt and modern data transformation practices
Experience with Python for data engineering or automation
Experience with Git and modern software engineering practices
Ability to take ownership of tasks and deliver maintainable solutions
Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
Collaborative mindset and willingness to learn from and contribute to the team
Nice to have
Experience with software engineering practices such as automated testing, CI/CD, and code review workflows
Experience with Snowflake or similar cloud data platforms
Experience with Infrastructure as Code (Terraform or similar)
Experience with AWS, GCP, or Azure
Interest in data quality, observability, governance, or platform engineering
Why join us?
Build the platform that enables data and AI across Schibsted Media
Work with modern technologies and experienced engineers across multiple teams
Flexible working hours and hybrid work options with strong trust and autonomy
International environment with offices in Oslo, Stockholm, and Krakow
Strong learning culture with learning budget and active engineering & AI communities
Access to Schibsted's premium media products, including news and podcasts
About you
You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed.
You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.
Arbetsgivare
Schibsted News Media AB
Kungsbron 13
11122 Stockholm
Webbplats: https://schibsted.teamtailor.com
Ansökan
Ansök senast 2 januari (5 månader och 20 dagar kvar)
Ansök här

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