Full-timeRemote allowed

We are looking for Data Engineer. Our Client is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.


  • Extract, transform and load logic to automate data collection and manage data processes/ pipelines including data quality and monitoring
  • Contribute to the development of data frameworks on cloud
  • Write and review technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies
  • Architect data pipelines
  • Collaborate with analysts, support/system engineers, and business stakeholders to ensure our data infrastructure meets constantly evolving requirements
  • Ability to work in a fast-paced environment and manage multiple simultaneous priorities.


  • 3+ years of experience in Data Engineering, retail setting preferred
  • Good Experience in AWS cloud
  • Good Experience in Big Data technologies like a Spark, Hive
  • Good understanding of SPARK jobs and prior experience with AWS Redshift, Glue, EMR
  • Experience in working with REST/SOAP API services
  • Experience in Big Data open-source products like Apache Kafka, Confluent Centralized Schema Registry
  • Understanding of data governance and Data profiling concepts
  • Bonus points for previous experience with Data Governance and Data Quality tracking processes/systems and tools, such as Collibra
  • Effective problem solving and analytical skills
  • Bachelor degree in Computer Science, Mathematics or a related technical field or equivalent practical experience
  • Excellent communication skills
  • English level — Upper-Intermediate

Will be a plus:

  • AWS Big Data Speciality Certification
  • AWS Professional Solution Architect

We offer:

  • Career and professional growth
  • Competitive salary
  • Friendly and highly professional teams
  • Big and comfortable office, own parking area, restaurants nearby
  • Corporate events twice a year, teambuilding
  • Paid sick leaves and holidays
  • Paid 18 working vacation days
  • Free English/German language courses in our office
  • Comfortable office facilities (kitchens, coffee/tea points)

Um sich für diese Stelle zu bewerben, füllen Sie bitte das Formular aus und laden Sie Ihren Lebenslauf hoch

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