
Data Engineer Content - Schibsted
- Stockholm
- Permanent
- Heltid
- Develop ETL/ELT pipelines to integrate large datasets from diverse sources into centralized data warehouses, data lakes, or other storage systems
- Integrate diverse data sources (structured and unstructured), enabling consistent, high-quality datasets for analytics and machine learning
- Build systems that power real-time personalization, editorial performance, A/B testing, audience engagement, and more
- Implement and maintain tracking solutions and event pipelines to ensure trustworthy data across products
- Collaborate closely with analysts, data scientists, product teams, and stakeholders to ensure data products align with business goals
- Support lighter analysis tasks when needed and help make data accessible and actionable through tools like Tableau, Amplitude, Kilkaya, and Streamlit
- For senior roles: Lead complex data architecture work, guide standards across teams, and mentor peers
- 3+ years of experience in a professional software/data engineering role
- Proficiency in Python, Scala, or Java
- Strong knowledge of SQL and experience with data modeling in analytical environments
- Hands-on experience with modern data pipelines and orchestration tools (e.g. dbt, Airflow)
- Familiarity with cloud infrastructure (especially AWS) and infrastructure-as-code (e.g. Terraform)
- Understanding of agile workflows and software engineering best practices (e.g. version control, CI/CD)
- Bonus: experience working with event data, editorial tools, or media analytics
- Data platform: AWS, Snowflake, S3, Redshift
- Transformation and orchestration: dbt, Airflow, Prefect
- Programming and scripting: Python, SQL, R
- Exploration and delivery: Tableau, Amplitude, Streamlit, Kilkaya