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emagine Linkedin · Posted 11d ago

Data Engineer

Stockholm

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Indexed description

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
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