Data Engineer - Subscriptions Data Products
Workplace: Stockholm, Sverige
Expires: August 11, 2025
Join Schibsted Media as a Data Engineer to develop and maintain scalable, reliable data pipelines and data products for subscription services, supporting leading Nordic media brands with data-driven insights and technology.
Main requirements:
  • Relevant degree in Computer Science, Statistics, Mathematics, Engineering, or related field
  • Experience in data engineering principles, ETL/ELT processes, and data warehouse architecture
  • Proficiency in SQL and Python programming
  • Experience with Snowflake, dbt, and AWS cloud services
  • Proactive, agile mindset with ability to translate complex data concepts into solutions
  • Ability to work in a hybrid setup and contribute to team knowledge sharing
Responsibilities:
  • Develop and maintain scalable, reliable data pipelines ensuring data completeness, accuracy, and accessibility
  • Collaborate with analysts, data scientists, and stakeholders to gather requirements and deliver high-quality data solutions
  • Drive architectural and operational decisions focusing on cloud-native tools like AWS, Snowflake, Airflow
  • Manage infrastructure using Terraform and implement infrastructure-as-code best practices
  • Work with event-driven data workflows and real-time data processing for GDPR compliance and data retention
  • Contribute to CI/CD setup and cloud optimization using tools such as GitHub Actions, Airflow, and Terraform
  • Ensure standards for data and resource governance including naming conventions, ownership metadata, documentation, lifecycle management
  • Use SQL and Python expertise to deliver robust and sustainable data products
Required hard skills:
  • SQL
  • Python programming
  • Data engineering (ETL/ELT)
  • Data warehouse architecture
  • Snowflake
  • AWS cloud services
  • Infrastructure as code with Terraform
Recommended hard skills:
  • dbt
  • Event-driven architectures (EventBridge, DynamoDB, S3, Lambda)
  • CI/CD tools like GitHub Actions and Airflow
Soft skills:
  • Proactive and agile mindset
  • Versatility in solving complex problems
  • Ability to translate complex data concepts into clear solutions
  • Team collaboration and knowledge sharing
Coding languages:
  • SQL
  • Python
Frameworks:
  • dbt
  • Airflow
Operating systems:
  • Cloud environments (AWS)
Natural languages:
  • English (Proficient)
Cultural skills:
  • Working in a hybrid environment
  • Supporting continuous personal development
  • Collaborating in a multicultural Nordic team
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