Senior Data Engineer

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WorkMotion

πŸ“Remote - Germany

Summary

Join WorkMotion as a senior Data Engineer and be at the heart of a modern, scalable, and cloud-native data platform. You will drive the development and maintenance of our end-to-end data infrastructure, supporting everything from ingestion to reporting. This role is ideal if you thrive in a fast-paced environment, enjoy building robust data pipelines, and want to work with a highly motivated international team. You will design, build, and maintain data pipelines, work with various data sources, develop and optimize PySpark jobs, and manage data lake infrastructure. You will also ensure data quality and collaborate with different teams. The role involves contributing to CI/CD workflows and participating in architectural discussions.

Requirements

  • 3-5 years of professional experience in Data Engineering or Software Development with a focus on data
  • Strong knowledge of Python and SQL; and PySpark
  • Hands-on experience with AWS services (Glue, S3, Athena, EC2)
  • Experience with Apache Airflow, preferably in a Dockerized/cloud-native environment
  • Familiarity with Delta Lake or similar data lake frameworks
  • Proficiency with source control (GitHub) and CI/CD workflows
  • Strong understanding of data modeling, ETL best practices, and data pipeline performance optimization

Responsibilities

  • Design, build, and maintain scalable ETL pipelines using Apache Airflow and AWS Glue (Spark)
  • Work with a range of data sources including Salesforce, NetSuite, PostgreSQL, and MongoDB
  • Develop and optimize PySpark jobs for large-scale data transformation and analytics
  • Manage data lake infrastructure using Delta Lake on S3 with Athena as the query layer
  • Ensure data quality, performance, and reliability through monitoring, testing, and documentation
  • Collaborate with analytics, product, and engineering teams to define data requirements
  • Contribute to CI/CD workflows with GitHub and deployment automation
  • Participate in architectural discussions and advocate for best practices in data engineering

Benefits

  • Work with a cutting-edge, cloud-native data infrastructure
  • Join an international team with flexible remote work opportunities across Europe
  • Collaborate in a modern agile environment with a focus on high-quality engineering
  • Personal development budget and career growth opportunities
  • Competitive compensation and benefits tailored to the European market

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