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Eucon

Open 35d

Data Platform Engineer (m/f/d)

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Summary

Builds and operates a scalable cloud data platform for Infopro Digital's Automotive division: developing SQL/Python data pipelines on Snowflake/Databricks, dbt transformations, and Airflow/ADF orchestration, while modernizing legacy PostgreSQL/Talend systems by migrating them to AWS/Azure.

Overview

As a Data Platform Engineer at Infopro Digital, you will design and operate a scalable data platform that powers data processing, integration, and analytics for the Automotive division. You will work with cross-functional teams to modernize data pipelines and migrate legacy systems to cloud-based architectures. The role offers exposure to state-of-the-art technologies and opportunities to shape data infrastructure for decision-makers in the automotive aftermarket. You will be solving performance, reliability, and governance challenges while embracing a culture of continuous learning and collaboration.

Leistungen / Benefits
  • 30 fixed vacation days per year
  • flexible working hours
  • job bike leasing
  • e charging stations
  • public transport tickets
  • company doctor
Verantwortungsbereiche
  • Design, build, and operate scalable data pipelines using SQL and Python on Snowflake/Databricks; optimize performance and costs
  • Develop end-to-end data workflows with dbt-based transformations and schema migration tooling; implement integration patterns between platforms
  • Create and maintain Snowflake stored procedures; orchestrate workflows with Airflow, ADF, or Databricks Workflows
  • Modernize legacy systems (PostgreSQL, Talend) and migrate to cloud platforms (AWS/Azure)
  • Ensure data quality, observability, monitoring, and CI/CD governance within Git workflows
Zentrale Anforderungen
  • Strong Snowflake experience with performance tuning, workload management, and cost optimization
  • Proficient in SQL and Python; proven track record building reliable data pipelines
  • Experience with dbt-based transformations and schema migrations; solid ETL/ELT understanding
  • Knowledge of orchestration tools and cloud platforms (AWS/Azure); experience with CI/CD and Git-based development
  • Familiarity with data quality, observability, and governance practices; IaC and modern data tooling is a plus
  • Cross-functional collaboration
  • Hands-on problem-solving
  • Quality-driven and proactive communication
  • Snowflake
  • SQL
  • Python

Skills

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See also

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