Data & Platform Engineer
Jobgether (company site, opens in a new tab)RemoteDirect career pageEst. 10–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build, operate, and optimize scalable data pipelines, ETL/ELT processes, and automated workflows for a central data platform.
- Improve platform reliability, performance, data quality, and reusability while contributing to its architecture and automation.
- Deliver data products with data scientists, business stakeholders, and architecture teams to support a large-scale IT transformation.
Minimum Requirements
- Work Experience Required: Several years of professional Data Engineering experience; a strong Platform Engineering focus is preferred.
- Strong technical knowledge of Python, SQL, Apache Spark, dbt, and Apache Airflow.
- Experience designing, building, and operating modern data platforms and architectures; understanding of data modeling, scalable processing, and DevOps principles.
- Fluent German and English communication skills.
Ideal Candidate Profile
- Has built and operated modern data platforms, with a focus on scalable, reusable architecture and reliable production workflows.
- Can combine hands-on pipeline engineering with platform operations, performance improvement, data quality, and automation.
- Fits a transformation environment involving multidisciplinary partners; enterprise-platform, cloud-native, regulated-environment, Kubernetes, Starburst, or Trino experience is an advantage.