K

Senior Data Engineer (Streaming & BigQuery)

Germany
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, develop, and maintain streaming and CDC backbone (Kafka, Debezium) and workflow platform (Navarch) on Kubernetes. Drive architectural initiatives across data platform, including BigQuery, warehouse, and observability. Shape platform support for domain analysts and manage BigQuery/Kafka costs with a FinOps focus.

Key Highlights
Design, develop, and maintain streaming and CDC backbone and self-built workflow management platform.
Drive end-to-end architectural initiatives across streaming, orchestration, warehouse, and observability.
Shape platform support for domain analysts and manage BigQuery/Kafka costs with a FinOps practice.

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Key Responsibilities
Design, develop and maintain streaming and CDC backbone (Apache Kafka, Debezium, Schema Registry, BigQuery Sinks) and self-built workflow management platform Navarch, running on Kubernetes.
Drive architectural initiatives across the platform end-to-end — from idea to production — spanning streaming, orchestration, the warehouse and the observability layer.
Operate and evolve BigQuery multi-project setup, shaping access management, partitioning, slot strategy and cost-aware design patterns.
Shape how the platform supports domain analysts who ship their own pipelines — clear ownership boundaries, quality safeguards, and less hand-off friction between producers and the platform team.
Build and maintain observability across the data platform (Datadog, Slack-native alerting, cost dashboards).
Take care of CI/CD pipelines on self-hosted GitLab instance.
Shape how BigQuery and Kafka cost is managed at platform scale — FinOps is a live practice on this team.
Bring a senior perspective into architectural decisions across the platform — design reviews, merge-request reviews, and multi-quarter initiatives the team runs.
Technical Skills Required
Apache Kafka Debezium Schema Registry BigQuery Kubernetes Datadog Python SQL Terraform Ansible dbt Helm KEDA VPA GitLab

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Benefits & Perks
Flexibility to work remotely (within Germany) or from office locations
Relocation package
Urban Sports Club and RSG Group Fitness Studios membership deals
Mental Well-Being support via Instahelp
30 days of vacation per year
Sabbatical option
Option for Pluxee restaurant vouchers
Subsidized 'Deutschlandticket'
Employee Discount for Kaufland.de
Free choice of operating system (MacOS or Ubuntu Linux)
Online language learning programs
Diverse in-house training
Automated 360-degree feedback
Coverage for relevant conferences, training, and team workshops

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Nice to Have
Message brokers, ideally Apache Kafka (broker operations, schema registry, KRaft)
Change data capture, ideally Debezium
Orchestration tools (in-house, Airflow, Dagster or similar)
Public Cloud Providers, ideally Google Cloud Platform
Container orchestration, ideally Kubernetes (Helm, operators, KEDA/VPA)
Infrastructure as Code, ideally Terraform and/or Ansible
Data modeling and transformation, ideally dbt or comparable

Job Description

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Job Overview
Posted May 31, 2026
Employment Full-time
Experience Mid-Senior level
Location Germany
Category Data Science
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