Data Engineer

Schibsted; Stockholms kommun; Hybrid; SEK 550,000 - 750,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid work options

Learning budget

Job summary

Schibsted is looking for a Data Engineer to join the Data Infrastructure team in Stockholm, Sweden. In this role, you'll help build and improve the shared data platform that enables analytics and AI. Ideal candidates will have over 4 years of experience in data engineering and strong skills in SQL, Python, and data pipeline construction.

The position offers flexible working hours, a hybrid work model, and opportunities for learning and growth within a collaborative international environment.

Qualifications

• 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.

Responsibilities

• Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions.
• Design, build, and improve shared data platform capabilities.
• Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code.

Skills

SQL skills

Python

Collaboration

Data pipeline building

Experience with Airflow

Education

4+ years of experience as a Data Engineer

Tools

Snowflake

dbt

Terraform

AWS

GCP

Azure

Job description

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 for

Must 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.