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Databricks Data Engineer

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Onsite

Databricks Data Engineer

TechShack

Databricks Data Engineer

Skills

SQL QueriesData EngineeringPythonDatabricksMachine LearningJiraConfluenceITILAzure

18 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

4 October 2026

What they need


Data Engineer (Databricks) | B2B Contract | 12+ Months | Remote | €200/day

I'm hiring a Data Engineer for a B2B contract on an enterprise data platform project, built on Databricks.

📍 Remote

💶 €200/day

📅 ASAP start, through 31 December 2027, with an option to extend

⏱️ B2B contract, approx. 40 hours/week

What you'll be doing

You'll be building a scalable data platform in Databricks from the ground up, integrating data into an enterprise-wide data lake using a Medallion architecture (Bronze, Silver, Gold), and developing the ETL/ELT pipelines that sit behind it. You'll also contribute to access control models and help drive continuous ingestion and continuous development practices across the project.

Key skills

  • Several years of hands-on experience delivering data engineering solutions in Databricks
  • Data modelling, ETL and orchestration of data loading processes
  • In-depth understanding of layered data models, such as Medallion architecture
  • Experience designing authorisation and access control models
  • Knowledge of continuous ingestion / continuous development practices
  • Strong understanding of modern data platform concepts
  • Proficiency in SQL and Python
  • Understanding of IT service management processes (ITIL)
  • Experience working in agile projects, particularly Scrum
  • A structured, solution-oriented approach, with excellent communication and facilitation skills

Nice to have

  • Knowledge of Microsoft Azure in the context of Databricks and data engineering
  • Databricks Professional Certifications
  • Experience with machine learning and LLMs in Databricks
  • Proficiency in Jira and Confluence
  • Good working knowledge of Excel and PowerPoint
  • Very good written and spoken German

Interview process: Technical interview with the client team.

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