Data Engineer
Stockholm
Schibsted
What began as a small publishing house in 1839 is now a media house with some of the strongest news brands in the Nordics.
We are seeking a Data Engineer to join our dynamic team. You’ll play a key role in ensuring Schibsted Marketing Services has access to reliable, insightful advertising data. Working within a collaborative team of Data Engineers and Analysts, you will develop and maintain scalable data pipelines and warehouse solutions. Additionally, you will help transition our infrastructure, implementing Github Actions and dbt to support our shift towards a more modern architecture.
Key Responsibilities:
- Design, develop, and maintain robust data pipelines from advertising systems to our data warehouse.
- Model data for efficient storage and query performance.
- Ensure seamless data extraction using Python and SQL.
- Collaborate with teams across Schibsted companies in Norway and Sweden, providing them with timely and accurate data insights.
- Support and guide stakeholders in defining data requirements for advertising performance.
- Implement Continuous Integration/Continuous Deployment (CI/CD) practices and optimise cloud infrastructure (AWS).
Who You Are:
- Proficient in SQL and Python (for data extraction).
- Experienced with tools such as DBT, Airflow, and Github Actions.
- Skilled in building and maintaining scalable data pipelines and warehousing solutions.
- Familiar with cloud platforms (AWS, Azure, GCP) and infrastructure management tools.
- Collaborative, with the ability to meet and support stakeholders from various departments.
Bonus Skills:
- Knowledge of BI tools such as Tableau.
- Experience or interest in the Media and Advertising industry.
Why Schibsted?:
- Be part of a diverse team working on impactful projects that contribute to society.
- Collaborate with professionals across the Nordics in a company at the forefront of technological development.
Important Note:
You must have an existing work permit for this role.
Recruitment Process:
- Phone Screening
- Non-technical Interview
- Technical Interview
Schibsted is committed to diversity, inclusion, and creating a welcoming environment for all candidates.
- Design, develop, and maintain robust data pipelines from advertising systems to our data warehouse.
- Model data for efficient storage and query performance.
- Ensure seamless data extraction using Python and SQL.
- Collaborate with teams across Schibsted companies in Norway and Sweden, providing them with timely and accurate data insights.
- Support and guide stakeholders in defining data requirements for advertising performance.
- Implement Continuous Integration/Continuous Deployment (CI/CD) practices and optimise cloud infrastructure (AWS).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure CI/CD Data pipelines Data warehouse dbt GCP GitHub Pipelines Python SQL Tableau
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