Data Engineer

emagine is looking for a data engineer for our client in Stockholm Workload: 100% Location: Stockholm or remote Duration: Asap - 2027-06-30 As a Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform. What you'll do:

• Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a defined SLA
• Provide support for all teams in building and optimizing their complex pipelines
• Work closely with other teams to identify pain points and problems around the platform
• Develop new tools and frameworks to improve the data platform
• Work in close collaboration with data scientists and data analysts to help support their work in production
• Work with vast projects such as building an ML platform and streaming use cases
• Set up best practices and processes around software and data development

What you bring in:

• 3+ years of experience in data engineering
• Experience working with an orchestration tool (ex, Airflow)
• Experience working with a large data set
• Experience building complex ETL pipelines
• Experience working with cloud providers such as GCP, AWS, or Azure
• Strong programming skills in Spark with Scala and Python
• Experience working with CI/CD tools like Jenkins and Git
• Strong understanding of Software Engineering practices and principles
• Excellent problem-solving and communication skills
• Self-motivated and have a proven ability to take the initiative to own the problems that come up and solve them

MUST-HAVE EXPERIENCE:

• Hands-on experience building, scaling, and operating production-grade data platforms or data infrastructure, including reliability, observability, performance, and self-service capabilities.

It would be great if you also have:

• Working with messaging systems like Kafka
• Knowledge of Kubernetes
• Hands-on experience with any streaming platform
• Experience managing a data warehouse in BigQuery or Redshift