Data Engineer

We do things differently. Do you?

Tchibo is one of Germany's ten largest e-commerce companies. We couldn't have

achieved this without the courage to constantly rethink the status quo. In our

Tech division at Tchibo, we work to develop sustainable and effective solutions

with modern technologies. Want to join us? Bring your fresh perspective to our

team!

Your Tasks: Where you truly make an impact

• As a Data Engineer (m/f/d) with a focus on Recommendation Systems, you

will be part of the Data Intelligence Team, which manages the majority of

Tchibo's data pipelines into our Business Data AI Platform (BDAP). The

BDAP is a highly modern cloud analytics platform in GCP, organized as a

data mesh.

• You will design and implement high-performance data services using

Golang, leveraging Redis for caching and real-time data access patterns to

serve our recommendation systems at scale.

• You contribute to the provisioning of terabyte-scale relational data to the

data mesh and, with it, to a highly motivated, creative, and proficient team

of data service developers (data engineers, data scientists). Modern data

services with high business impact then make use of this data to, for

example, use deep learning models to estimate customer demand.

• You will build and optimize API-driven data services following API First

Design principles with OpenAPI/Swagger, implementing efficient caching

strategies with Redis and ensuring robust monitoring through DataDog.

• You are in control of shaping the self-built system architecture on a deep

level with Golang as our primary language, Redis for high-performance

caching layers, Kubernetes, Google APIs/SDKs, GitLab CI/CD, as well as

the development of our data models in our highly automated layered

architecture.

• You will join a strong team of Business Analytics, Data Scientists, and Data

Engineers, with whom you will be in close contact to provide the right level

of data and service quality to the data mesh and our corporate

stakeholders. Machine Learning and Generative AI have proven that our

work directly affects the final customer's experience.

Your profile: You keep reinventing us.

• Min. 5 years professional experience with Golang in production

environments - this is our core technology

• Strong expertise in Redis for caching strategies, data structures, and

performance optimization

• Deep experience with Google Cloud Platform

• You have successfully completed a degree in computer science,

mathematics, physics, business administration, or a comparable

qualification and have professional experience in the business intelligence

environment.

• Proficient in API First Design principles with OpenAPI/Swagger

• Experience with DataDog for monitoring and observability

• Strong experience with Kubernetes and containerized applications

• Familiarity with GitLab CI/CD pipelines

• Experience with streaming and messaging is an advantage (pub/sub,

Kafka, etc.)

• Experience with OAuth2 server-side authentication is a plus

• You have experience with the challenges and best practices of relational

data management or Data Warehousing in a mid to large-scale data

volume setting.

• Your distinctive technical-analytical thinking, as well as a structured and

solution-oriented way of working, distinguish you.

• Agile and open mindset and sense of responsibility

• In addition, you have a good command of both written and spoken English.

German A2-Level or more is optional