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Data Engineer (m/f/d)

General information

Job Title
Data Engineer (m/f/d)
Ref #
Job Area
Information Technology
Job Type

Description & Requirements

Job Description

PAYBACK is unique worldwide in data-based marketing. With the ability to develop digital business models and implement technical trends, we are pioneers of the data economy. The technical solutions for our 31 million customers relating to the PAYBACK program are designed and operated in-house. To this end, we work with the latest technologies and in a cross-functional and agile way.
In addition to Munich, we are setting up a location in Berlin that focuses on “Digital Sales”. This is about PAYBACK products, business models and partnerships where PAYBACK customers can also collect and redeem points online (Web & APP). We cooperate with the leading eCommerce companies in Germany and offer access to over 650 well-known online shops from the retail, travel, telco, energy, gaming, finance and more sectors via our portals. From A for Amazon to Z for Zooroyal.
Would you like to take on responsibility, contribute your ideas around our unique product “Digital Sales” and further develop PAYBACK with us? Then you've come to the right place.
OF COURSE, we don't just live diversity. We celebrate it! Will you join us? We look forward to getting to know you.


Within the Data Engineering Team you can work with a huge amount of data and help us with its usage in an efficient way in Germany, Poland, Mexico, Italy and Austria.
We strive towards a modern cloud-based data platform on GCP leveraging bleeding edge services and in parallel we keep existing processes running on-premise until they are fully migrated.
You will not only be responsible for development but also for the operation of our services, both on-premise and within the cloud.
  • You analyze, understand and accompany the requirements from the idea until end-of-life (DataOps)
  • You contribute to the design of the solution, develop, test and document it
  • In order to solve complex business problems, you perform comprehensive data analysis and research
  • You work together with internal stakeholders across the organization to produce high-quality KPIs out of raw data
  • You work in close collaboration within your cross-functional agile team on-side
Python, Hive, Spark, MapR, Oracle PL/SQL, Airflow, Jenkins, OpenShift, Git, Docker, Kubernetes, Java, Kafka
Google Cloud Services (BigQuery, Cloud Build, Cloud Storage, Pub/Sub, Cloud Composer, DataFlow), Terraform


  • You have 6+ years of work experience as a Data Engineer or in a similar position
  • You are a clean coder with an agile mindset, and you love DataOps
  • You have proficiency in modern Python
  • You have experience with Oracle SQL and Spark
  • Ideally, you have knowledge with Google Cloud Services and Terraform
  • You like to handle mass data
  • You are characterized by a high-quality awareness, your trustworthiness and interest in new technologies
  • You can work independently in an agile cross-functional team
  • You have very good English & good German skills


  • Grow like a Pro: Continue learning through individual professional development, grow with us to shape our future together
  • Tasty Breaks: In addition to drinks, we also provide delicious food during your lunch break
  • Do it your way: We offer 30 vacation days, flexible working hours and a hybrid working model
  • Get Together: Meet and spend leisure time with colleagues – during a Mystery Coffee or be part of our popular Social Days, ski events and seasonal highlights such as Christmas parties, summer parties and team events
  • Easy Going: Coming to the office is not only fun, but also affordable – that’s possible due to our central office locations in Munich, Berlin and Cologne and through our travel allowance