Senior Data Engineer - Data Platform
Jobgether (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 15–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and operate a scalable Databricks data platform and its data pipelines and products in Microsoft Azure.
- Build Data Vault 2.0 models and dbt Core transformations; own data quality, testing, validation, and documentation practices.
- Improve platform reliability, performance, and cost efficiency; contribute to CI/CD automation and delivery with agile project and product teams.
Minimum Requirements
- Work Experience Required: At least 5 years in data engineering; several years in a corporate environment are also required.
- Strong hands-on experience with Databricks, SQL, Python, Apache Spark/PySpark, scalable data pipelines, and Microsoft Azure; advanced dbt Core knowledge, particularly with Databricks.
- Solid Data Vault 2.0 experience, plus experience with historical and dimensional data models, data quality testing, and data documentation.
- Excellent Git, CI/CD, and automated testing knowledge; fluent German and English.
Ideal Candidate Profile
- An experienced data-platform engineer who has designed and operated scalable production pipelines in Azure and Databricks environments.
- A strong fit for work centered on Data Vault 2.0, dbt Core transformations, historical modeling, and rigorous data validation.
- Comfortable contributing independently to complex technical problem-solving while delivering through agile corporate project and product teams; health insurance experience is an advantage.