Senior Data Engineer at Müller Holding GmbH & Co. KG
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

22 Dec, 26

Salary

1500000.0

Posted On

23 Sep, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description
  • Technical responsibility for connecting a wide variety of source systems and building stable data pipelines as the basis of our data products.
  • Conceptualization and implementation of robust ingest patterns – from batch processing to high-volume streaming – as well as continuous optimization of pipelines.
  • Structured processing and transformation of raw data across different data zones into harmonized and high-performance data products.
  • Ensuring stable pipeline operations with a focus on availability, security, scalability and cost efficiency.
  • Close collaboration with the Lead Data Platform Engineer in establishing modern development standards, as well as technical support and mentoring of the Data Engineers in Bucharest and Ulm.
  • Joint development of suitable data products with the specialist departments that solve specific business requirements and problems.
  • Contributing to the cultural shift from traditional DWH structures to agile, domain-oriented data product teams based on a central data platform.

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Responsibilities
  • Technical responsibility for connecting a wide variety of source systems and building stable data pipelines as the basis of our data products.
  • Conceptualization and implementation of robust ingest patterns – from batch processing to high-volume streaming – as well as continuous optimization of pipelines.
  • Structured processing and transformation of raw data across different data zones into harmonized and high-performance data products.
  • Ensuring stable pipeline operations with a focus on availability, security, scalability and cost efficiency.
  • Close collaboration with the Lead Data Platform Engineer in establishing modern development standards, as well as technical support and mentoring of the Data Engineers in Bucharest and Ulm.
  • Joint development of suitable data products with the specialist departments that solve specific business requirements and problems.
  • Contributing to the cultural shift from traditional DWH structures to agile, domain-oriented data product teams based on a central data platform.

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