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Senior Data Engineer/AWS Subject Matter Expert

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Senior Data Engineer/AWS Subject Matter Expert

Location: Berlin, Germany (Hybrid)

Salary: Competitive

Permanent

๐Ÿ“ Title: Senior Data Engineer/AWS Subject Matter Expert (SME)

๐Ÿ– Benefits: Excellent work-life balance and culture, 30 vacation days with option to buy more and 38-hour work week!

๐Ÿ“ Location: Germany

๐ŸšŠ Flexibility: Hybrid role

Orbis has partnered with one of the largest health insurance companies in Germany to find an experienced Data Engineer/AWS SME to join their IT division as they expand their AWS platform across the business.

About the company

This company is a world-renowned and highly respected global business turning over millions of euros annually, with origins dating back to the 1800โ€™s, this German institution are one of the largest and most successful companies in their space.

They have nearly 10 million customers, and over 15,000 members of staff, with key locations in the North, North-West, North-East, and South-West of Germany, making them a well-known and well-represented brand across the whole of Germany.

They have an excellent culture, pride themselves on work-life balance, and always strive to keep their employees happy.

Role Summary

As a Senior Data Engineer and AWS SME you will play a committed and fundamental role in the development of a new cloud platform.

Your responsibilities will include:

  • Designing and implementing the AWS infrastructure for AI use cases.
  • Designing viable architectures using: AWS Glue, Athena, Sagemaker, EKS, EC2, S3, Stepfunctions.
  • Assisting in the deployment of ML services and ensuring performant inference for ML models.
  • Being responsible for their cloud infrastructure in terms of scaling, data flows, operational stability (IaC, CI/CD) and continuously developing it further using an agile methodology.
  • Taking an active role in the project team and using your expertise to transfer knowledge.
  • Ensuring automated processes – from their development to their operation.
  • Helping to build the foundations for the companyโ€™s journey into becoming a data-driven company!

Essential Requirements for this Role:

  • Fluency in German (C1 or above).
  • Extensive experience as a Data Engineer.
  • Experience with DevOps, including working in a Scrum and agile methodologies.
  • Experience working with the AWS tech stack including AWS Flue, Athena, Sagemaker, EK, EC2, S3 and Stepfunctions.
  • Experience in the development, operation and monitoring of productive processes using CI/CD technologies, especially in the automation of processes.
  • Knowledge of implementing data mesh architectures.
  • Strong communication skills.

Nice to have:

  • An IT-related undergraduate degree or above, or alternatively and IT education with several years of professional experience in data engineering.
  • Experience with Machine Learning or Artificial Intelligence.
  • Knowledge of streaming technologies such as Kafka.

Recruiter: Vega Caputo Ortiz

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