Senior Data Engineer in Data Product Engineering
Schibsted News Media ABSammanfattning
Schibsted Media is seeking a Senior Data Engineer to join their Data & AI organization within the Data Product Engineering team. This role involves designing and maintaining robust data pipelines, developing scalable data models, and collaborating with various stakeholders to enhance data capabilities across the company. The position offers the opportunity to influence engineering practices and contribute to impactful data products in a flexible, hybrid work environment.Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Förmåner
High ownership and influence in shaping technical directionOpportunity to impact trusted data products across Schibsted MediaFlexible working hours and hybrid work optionsInternational environment with offices in Oslo, Stockholm, and KrakowStrong learning culture with a learning budget and active communitiesAccess to Schibsted's media products, including premium news and podcasts
Ansök senast: 2026-12-30
Publicerad: 2026-07-03
Beskrivning
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.
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.
Ansök till tjänsten
Senior Data Engineer in Data Product Engineering
OM FÖRETAGET
Schibsted News Media AB
