Senior Data Engineer

You will be:

Maintaining an ingestion pipeline processing billions of events daily against a defined SLA

• Supporting teams that build and optimize complex data pipelines
• Identifying platform problems with other engineering teams
• Developing tools and frameworks for the data platform
• Supporting data scientists and analysts with production workloads
• Contributing to ML-platform and streaming initiatives
• Establishing software-engineering and data-development practices
• Your profile:3+ years of experience in data engineering
• Hands-on experience building, scaling, and operating production-grade data platforms or data infrastructure, including reliability, observability, performance, and self-service capabilities Experience working with an orchestration tool (ex, Airflow)

Experience working with Kubernetes Experience working with a large data set Experience building complex ETL pipelines Experience working with GCP 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 skillsSelf-motivated and have a proven ability to take the initiative to own the problems that come up and solve themNice to have:

Kafka or another messaging system

• Streaming platforms
• Big
• Query or Redshift data-warehouse administration
• Work from the European Union region and a work permit are required.

Recruitment Process:

CV review – HR call – Technical Interview – Client Interview – Decision