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Data Engineer Resume Example for the German Job Market

Short answer: A data engineer CV for Germany: 1 to 2 pages, table-style, with pipelines rather than tools. It shows ETL flows with data volumes and runtime, backs data quality through tests and monitoring, and names storage and modelling concretely. Plus CEFR language levels.
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Sample Data Engineer Resume

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Felix Wagner

Data Engineer | ETL, Python and Spark

felix.wagner@email.de · Frankfurt am Main

Profile

Data engineer with 6 years in ETL and data pipelines. Built a data warehouse for 12 business units, processed 2 TB of data daily and cut pipeline runtime by 50%. Secured reliable data quality with tests and monitoring. Goal: lead data engineer responsibility.

Work Experience

Data Engineer, Finanzdienstleister AG, Frankfurt am Main

08/2020 to present

  • Built a data warehouse in Snowflake for 12 business units and modelled the core schemas.
  • Processed 2 TB of data daily with Spark and Airflow and cut pipeline runtime by 50%.
  • Secured data quality through automated tests and monitoring with dbt and Great Expectations.

BI Developer, Handelsunternehmen GmbH, Wiesbaden

09/2017 to 07/2020

  • Built ETL flows with Python and SQL and automated the daily reporting.
  • Migrated reporting databases to PostgreSQL and sped up queries by a factor of 4.

Education

M.Sc. Computer Science, Goethe University Frankfurt

07/2017

Tech Stack

Data Pipelines:ETLAirflowSparkdbt
Storage and Query:SQLSnowflakePostgreSQLData Warehousing
Programming:PythonGitDockerCI/CD

Certifications

  • SnowPro Core Certification, Snowflake (2022)
  • Databricks Certified Data Engineer Associate, Databricks (2021)

Languages

German Native · English C1

Resume Structure Step by Step

1A 3-line profile: years in data engineering, focus, largest pipeline you owned.
2Show pipelines with impact: data volume, runtime, reliability, with numbers.
3Back data quality: tests, monitoring, error rate, not just ETL frameworks.
4Name storage and modelling: warehouse, schema, platform, not a bare tool list.

Recruiter Tips for Data Engineer Resumes

1Show pipelines and data volumes, not just tools.
2Data quality counts: tests, monitoring, reliability with concrete examples.
3Name storage and modelling: warehouse, schema, not just ETL frameworks.
4Numbers work: 2 TB daily and 50% shorter runtime beat "processed data".

Common Mistakes to Avoid

✕Just a tool list with no pipeline, data volume or impact.
✕Data engineering confused with data science; the focus is pipelines and operations.
✕Data quality ignored, though it is the core of the role.
✕Gaps in the timeline; German employers expect a gap-free history.

Frequently Asked Questions

How long should a data engineer CV be?+

1 to 2 pages, table-style and gap-free. Pipelines, data volumes and data quality go at the top, followed by tools, certificates and education.

How do I stand apart from a data scientist?+

Through focus: a data engineer builds and operates the pipelines analysis runs on at all. Show ETL, data modelling and operations, not models and statistics.

How do I show data quality?+

Through tests and monitoring: "automated data checks with dbt, error rate under 0.1%". Reliability is a central selling point in data engineering.

Which ATS keywords matter for data engineering?+

Data engineering, ETL, Python, SQL, Spark and Airflow. Use the spellings from the job posting.

Should I name cloud or on-premise?+

Both, where applicable. Name concrete platforms such as Snowflake, BigQuery or Databricks. Many roles now assume cloud data warehousing.

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