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Senior Databricks Engineer – DWH Migration

Original title: Senior Databricks Engineer – DWH-Migration (m/w/d)

AMPLEE GmbH & Co. KG · hürth, Deutschland, Germany · Hybrid · Senior

  • hürth, Deutschland, Germany · Hybrid
  • 14 Monate
  • German

Indexed (8 days ago) · refreshed constantly

Start
ab sofort
Duration
14 Monate
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3062550

Required skills

Nice to have:OracleInformaticaETL MigrationDWH/BI

Languages: German

Job description

Seeking a Senior Databricks Engineer for a DWH migration project to an Azure/Databricks Lakehouse architecture. The role involves migrating existing ETL processes and collaborating within a Scrum team.

Project overview

For our client, we are filling the position on a freelance basis for a

Senior Databricks Engineer – DWH Migration

Responsibilities

  • Migration of an existing Oracle/Informatica Data Warehouse into a modern Azure/Databricks Lakehouse architecture.
  • Transfer of existing ETL processes into robust, scalable, and performant Databricks data pipelines.
  • Implementation and further development of data models, data quality, historization, and authorization and governance concepts.
  • Execution and support of tests, parallel operation, and cutover.
  • Close collaboration with business departments and other Data Engineers within a Scrum team.

Requirements

What the client is looking for between the lines:

An experienced, operationally strong Data Engineer who understands classic DWH structures and can independently transfer them into a productive Databricks solution.

Someone who, in addition to development, also keeps an eye on data quality, operational reliability, and a smooth transition from the old to the target system.

We look forward to your application!

  • Sound practical experience with Microsoft Azure, Databricks, and Lakehouse architectures, as well as in the setup and operation of Databricks.
  • Deep knowledge of Delta Lake, Unity Catalog, and DLT/SDP, as well as authorization models and data governance.
  • Very good knowledge of Python, PySpark, and SQL, including performance optimization for large data volumes, and confident use of AI-supported development tools.
  • Sound DWH/BI experience in data storage, data modeling, data transport, and SCD2 historization; ideally experience with ETL migrations to Databricks, as well as Oracle and Informatica.
  • Experience as a developer in a Scrum team, excellent German language skills (written and spoken), and confident communication with business departments and development teams.

Project details

ASAP

Until the end of 2027

Utilization: 100%

Hybrid (Greater Cologne area and Remote) 2 days per week on-site; ideally from NRW

  • Start: ab sofort
  • Duration: 14 Monate
  • Remote: hybrid
  • Location: hürth, Deutschland, DE
  • Languages: German

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