Senior Data Engineer at AGNTX

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

26 Nov, 26

Salary

0.0

Posted On

28 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

YOU WILLContribute to the conception and development of an on-premises data platform — architecture and build, not maintenance of something already running
Develop and integrate the components for data orchestration, deployment and platform automation
Implement batch and low-latency streaming pipelines, and the platform services that sit around them
Integrate workloads on Kubernetes and S3-compatible object storage at the edge
Investigate data catalogues and data versioning, and decide how they fit into the platform
Build proof of concepts independently, using AI agent tools such as Cursor.ai as part of your normal workflow
Work directly with lead architects and the infrastructure and security teams, in a setting where security requirements shape the design rather than arriving afterwards

ESSENTIAL REQUIREMENTSSeveral years of production experience with Kubernetes and Kubernetes infrastructure, and with Linux — you have run clusters, not only deployed onto them
Familiarity with modern data platform architectures such as Kappa or Medallion, and hands-on experience of both batch and low-latency streaming pipelines
A genuine Cloud Native background with Linux containers and Kubernetes, and your own view on how edge data management gets built without public cloud dependencies
Practical knowledge across Python, Golang, SQL (MPP), Bash and Java — this is a polyglot platform, not a Python-only one
Hands-on experience with a significant subset of: S3-compatible object storage, Apache Iceberg, GitOps workflows, NATS.io, Risingwave, Dagster, Apache Spark, Apache Kafka, Apache Flink and Apache Airflow
A completed degree in Computer Science or a comparable qualification
Very good German — written and spoken. A hard requirement, not a preference
Very good English — written and spoken. Both languages are mandatory
EU or EEA member state citizenship — hard requirement. Country of birth applies; naturalisation alone does not satisfy it

ADVANTAGEOUSSeveral years of professional experience as a Data Scientist alongside the platform work
Cursor.ai or other AI coding tools used daily rather than trialled
NUMA and core pinning, or any low-level performance tuning on physical hardware
Experience of air-gapped, classified or otherwise network-restricted environments
Bare metal, MinIO, Ceph or self-hosted Kubernetes at production scale

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Responsibilities