Java Data Engineer – €85,000–95,000 – Big Data, NoSQL, Kubernetes, AWS (Frankfurt Hybrid)
🚀 Work on data systems that power how brands reach and understand audiences across screens.
This international AdTech company is building the next generation of real-time data infrastructure — and they’re hiring a Java Data Engineer to help make it happen.
You’ll be part of a high-impact team that processes and serves huge volumes of data used by products seen and used across the world. The team is modern, collaborative, and product-minded, and the work is greenfield — not maintenance.
Why join?
Because this is where data meets purpose. The platform enables marketers and media platforms to make smarter, faster, and fairer decisions through data. You’ll help build the infrastructure that makes that possible.
It’s a place where engineers have real ownership, where tech and product collaborate closely, and where you’ll work with distributed systems at scale — using Java, AWS, Kubernetes, Spark, Kafka and more.
What you'll do:
- Design and build high-volume data pipelines and services
- Build systems that are used across the company for real-time and batch data needs
- Collaborate with developers, product managers and business stakeholders
- Research and integrate new technologies and external APIs
- Own the full lifecycle of features — from concept to production
What you'll bring:
- 4+ years of experience as a data engineer
- Strong Java skills and backend engineering experience
- Experience with SQL and NoSQL databases
- Familiarity with big data tools like Spark, Kafka, Hadoop or Druid
- Experience with cloud environments (AWS preferred), Docker and Kubernetes
- Good understanding of monitoring, CI/CD and distributed systems
Keywords : Java, data engineering, big data, microservices, real-time, APIs, Frankfurt, cloud, distributed systems, Spark, Kafka, SQL, NoSQL, Kubernetes, AWS, CI/CD, data pipelines
💬 Interested? Interview slots available now — reach out to learn more.
Kontaktperson:
Findr HR Team