(Senior) Data Engineer (m/w/d) Munich

Our client is a family business with around 4,000 employees and a leader in its field, the manufacturing and trade of high-quality products and solutions.

The endeavor to create a harmonious, efficient and trustworthy working environment has already been acknowledged with several awards. Are you a passionate Data Engineer who wants to take on responsibility in an industry of the future? Than we look forward to your application!


 Your tasks:


  • Process development to support data transformation, data structures, metadata, dependency and workload management in close cooperation with a team of front end, data scientists, BI managers and POs as well as design of data integrations and data quality frameworks
  • Creation of requirements analysis for future ETL processes with regard to scalable data pipelines (recording of data from the source to the availability of the data in the front end); Development and maintenance of scalable data pipelines with ADF with regard to the previously created requirements analysis and establishment of new integrations in order to support the continuous increase in data volume and complexity
  • Collaborate with analytics and business teams to improve data models that feed into business intelligence tools to increase data availability and drive data-driven decision-making across the organization
  • Implementation of processes and systems to monitor data quality to ensure that production data is always correct for the dependent key stakeholders and business processes; Development of a data catalog using existing metadata to create an overview of all data sources and ETL processes
  • Development of a layer architecture (staging, core, presentation) with regard to data processing and provision and creation of detailed technical documentation


Your profile:


  • Experience as a data engineer
  • Experience in using Python
  • Knowledge of ETL technologies
  • Experience with relational and / or NOSQL databases and experience in handling large amounts of data in a data warehouse
  • Good English knowledge


The offer:


  • Working with cutting-edge technologies and actively promoting professional and personal training
  • Very attractive compensation
  • Extensive range of training courses and further education, including in the in-house academy
  • Capital accumulation benefits
  • Employer-funded pension
  • Reimbursement of travel expenses
  • Home office
  • Flexible working hours
  • Breakfast and lunch from a top canteen that cooks in organic quality are free
  • 30 days vacation
  • Company doctor and sports courses
  • Working with highly motivated colleagues in a very familiar environment


Have I piqued your interest? Then I look forward to hearing from you. You are welcome to apply directly for the position using the attached link, or you can send me your application documents to: l.hartung@colemanfox.de. If you have any questions, please call +49 (0) 162 269 369 6.