Location: Dresden, Germany

Start: ASAP

Contract: Until 31.12.2027 (~16 months)

Working hours: 40 h/week

Home Office: 40% – frequent on-site presence required

About the Role

We are looking for a Senior Data Engineer (m/f/d) to join a challenging project focused on the design and development of a modern on-premises data platform.

The role combines Data Engineering, Cloud Native technologies, Kubernetes, streaming, platform automation, and edge computing. You will contribute to the architecture and implementation of a scalable data platform operating without dependency on public cloud infrastructure.

Responsibilities

Contribute to the design and development of an on-premises/edge data platform
Develop and integrate components for:
Data orchestration
Deployment automation
Platform automation
Data processing and management
Build and maintain batch and low-latency streaming pipelines
Integrate data workloads into Kubernetes-based environments
Work with S3-compatible object storage
Evaluate and integrate data catalogues and data versioning solutions
Develop independent Proofs of Concept (PoCs)
Use modern AI-assisted development tools where appropriate
Collaborate with architects, infrastructure, DevOps and security teams
Contribute to technical concepts and architecture decisions for an edge/on-premises data platform

Required Skills

Several years of hands-on experience with Kubernetes and Kubernetes infrastructure
Strong Linux and containerization experience
Experience with modern data platform architectures
Hands-on experience with batch and streaming data pipelines
Knowledge of Kappa and/or Medallion architecture
Strong Cloud Native mindset
Experience developing on-premises or edge platforms
Practical experience with several of the following:
Python
Golang
Java
SQL / MPP
Bash

Technology Experience

Experience with a significant subset of:

Kubernetes
S3 / S3-compatible storage
Apache Iceberg
GitOps
NATS.io
RisingWave
Dagster
Apache Spark
Apache Kafka
Apache Flink
Apache Airflow

Nice to Have

Professional experience as a Data Scientist
Experience with Cursor.ai or other AI coding assistants
Knowledge of NUMA and CPU Core Pinning
Experience with performance optimization of distributed data platforms
Experience with edge computing
Experience with highly distributed on-premises environments

Qualifications

Degree in Computer Science, Software Engineering, or a comparable field
Strong analytical and problem-solving skills
Ability to work independently and develop technical PoCs
Excellent communication and collaboration skills
Very good German and English, written and spoken

Working Model

Location: Dresden / surrounding area
Hybrid: Approximately 40% home office
On-site presence: Frequent presence in Dresden is required
Start: ASAP
Contract: Until December 2027
Working time: 40 hours/week

Candidate Eligibility

Candidates must hold citizenship of an EU or EEA member state due to applicable German AUG requirements.