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# Analytics Engineer Python & PySpark

- **Company:** Schwarz Unternehmenskommunikation GmbH & Co. KG
- **Location:** Bad Friedrichshall, Germany
- **Contract:** Permanent contract
- **Skills:** Query Performance, Java (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Big Data, Code Review, Information Engineering, Extract Transform Load (ETL), Software Debugging, Dimensional Modeling, Python (Programming Language), Open Source Technology, Standard Sql, SQL Databases, Data Streaming, Git, Data Layers, Pyspark, Git Flow, Integration Tests, Optimization Algorithms, Data Pipelines, Databricks
- **Published:** May 23, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=e9ee95438126be4a

## About the Role

Do you have experience in SQL?, + A passion for diving into complex datasets to extract insights

 + A proactive approach to optimizing data flows and improving overall data quality.
 + Ability to bridge the gap between technical infrastructure and business needs, translating "messy" requirements into clean data products.
 + Expert-level knowledge of SQL, including complex window functions, CTEs, and query performance tuning.
 + Deep understanding of dimensional modeling and practical experience implementing SCD Type 1, Type 2, and Type 3 logic.
 + Practical experience with PySpark, specifically focusing on optimization techniques such as broadcasting, salting, and partitioning.
 + Proven experience designing and implementing data layers (Bronze, Silver, Gold) within a Medallion Architecture.
 + Experience writing and maintaining unit and integration tests for data pipelines to ensure reliability.
 + Mastery of Git, including branching strategies, pull request workflows, and collaborative code reviews.
 + Experience using CI/CD pipelines to automate data deployments.
 + Experience with Databricks.
 + Ability to write/configure CI/CD pipelines.
 * Optional but highly valued if you have:
 + Experience building or using data quality monitoring systems.
 + Experience with dqx, Great Expectations, or Soda.
 + Ability to write/configure CI/CD pipelines.

## Description

* In this role you will work hands on building:
 + scalable production-ready APIs using Python and Java (optional).
 + ETL and CI/CD pipelines
 + data product templates
 + monitoring dashboards for usage of our data products
 * You will work as part of a large data community, you will:
 + provide debugging support for data teams
 + deploy open-source tools on cloud platforms
 + support and learn from our data community
 + support our team in establishing data engineering and analysis best practices


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