Data Engineering Team Lead

vor 2 Wochen

Reiskirchen, Hessen, Deutschland weisstechnik Vollzeit
About the Role

We are seeking a highly skilled Data Engineer to join our team at Schunk Group. As a Data Engineer, you will be responsible for designing, developing, and operating our data engineering processes on the Schunk Data Platform.

Key Responsibilities
  • Design and implement scalable data pipelines in collaboration with our data scientists and software experts.
  • Develop and maintain complex data integrations from on-premises, cloud-based (e.g. SAP, MSSQL, Fileshares), and IoT systems.
  • Plan, integrate, and operate various source systems within our Schunk Data Lakes.
  • Ensure uniform principles and standards for our ETL processes across multiple business units.
  • Work in an agile environment and develop automated test cases for our applications.
  • Join a talented team that innovates and shapes the future of Schunk.
What We Offer
  • Flat hierarchies and fast decision-making processes.
  • The opportunity to work in a highly innovative environment with exciting application areas.
  • A talented team with smart minds.
  • Flexible work arrangements, including mobile work options.
  • Flexible working hours to ensure a balance between work and private life.
  • Comprehensive support for work-life balance, including childcare options and career development programs.
  • Annual bonuses and profit-sharing.
  • Altersvorsorgewirksame Leistungen (pension benefits).
  • A range of sports and wellness programs, including fitness classes and charity events.
  • A company restaurant offering healthy meals and snacks.
  • Free parking and electric vehicle charging stations.
  • Exclusive discounts and benefits through our Corporate Benefits program.
Requirements
  • Master's degree in Computer Science or a related field.
  • Several years of experience as a Data Engineer in a cloud environment and building scalable data platforms (ideally Azure).
  • Deep knowledge of the Python programming language.
  • Experience with Big Data technologies (e.g. Spark/PySpark, Databricks, SQL & NoSQL, Azure Data Factory).
  • Interest in developing in a modern DevOps environment with corresponding CI/CD tools.
  • Quick learning ability, analytical thinking, and data-oriented work style within agile digital teams.
  • Fluent German and English language skills.
  • A strong desire to develop functions that have an impact.

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