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Schibsted is a growing and diverse family of over 50 brands whose mission is to empower people in their daily lives and each brand contributes to it in its own way. Amongst our brands you can find leading Nordic marketplaces like Finn and Blocket, world-class media houses like VG and Aftonbladet (we are the largest media group in Scandinavia) and other rapidly developing digital companies like Prisjakt and Lendo.

Data Foundations is a central department within Schibsted that is responsible for the data platform and is working on data fueled products with emphasis on volume, velocity and privacy. We are building products at scale, serving the whole of Schibsted and its brands.

Our team within Data Foundations is responsible for development and maintenance of the segmentation platform, which supports online advertising, personalization and analytics use-cases across the whole company.

As a part of Schibsted, you will also have the opportunity to share knowledge and learn from other data engineers across the organisation. We encourage a diverse, collaborative and creative work environment, where you will develop and push for state-of-the-art solutions in big data processing as well as building reliable and highly scalable services.

About the role

- Engineer, implement, optimise and maintain highly scalable services and data pipelines
- Make use of - Pyspark, Scala, K8S and AWS
- Help define our development environment and communicate the best development practices within the organization (i.e. code reviews, testing, etc)
- Work with the product management team to find the best solutions to meet our customers' needs
- Ensure compliance with data governance, security policies and privacy laws.
- Enable teams and local sites across the Schibsted organization to develop data-driven products and services through cross-team initiatives and collaboration

Competence

- A Bachelor’s degree in Computer Science, Informatics or relevant work experience
- Knowledge and hands-on experience with Python and Spark which are our main technologies used in data processing
- Experience with Scala or other JVM languages - our services are implemented in Scala, so ability to get up to speed with Scala is expected (experience with Java/Kotlin is a bonus)
- Familiarity with Kubernetes, orchestration frameworks (Airflow / Luigi), DevOps, CI/CD, cloud solutions (AWS / Azure / Google Cloud), container-based workflows or distributed systems are all regarded as positive

Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.

Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 300+ people in Oslo, Stockholm and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security and internal IT.

Detta är en jobbannons med titeln "Senior Data Engineer" hos företaget Schibsted Sverige AB och publicerades på webbjobb.io den 20 juni 2022 klockan 15:31.

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