> Markdown version of [/jobs/ext/135085-senior-data-engineer-all-genders](https://www.wearedevelopers.com/jobs/ext/135085-senior-data-engineer-all-genders). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (all genders) - **Company:** Kaufland - **Location:** Weinsberg, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Airflow, BigQuery, Cloud Database, Cluster Analysis, Information Engineering, Data Infrastructure, Software Design Patterns, Identity and Access Management, Python (Programming Language), Message Broker, Object-Oriented Software Development, Ansible, Software Engineering, SQL Databases, Workflow Management Systems, Datadog, Google Cloud, Change Data Capture, Gitlab, Debezium, Kubernetes, Apache Kafka, Terraform - **Published:** May 31, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=b2977f81c4c73292 ## About the Role Do you have experience in macOS?, * You have several years of senior-level data-engineering experience, demonstrated by independent ownership of production systems - running on-call, shipping cross-component changes, and influencing architecture without process scaffolding around you * You have strong problem-solving skills with a demonstrated ability to troubleshoot complex, cross-component issues (schema evolution, broker lag, query performance, cost anomalies) * You have professional experience in software engineering using Python and you have a working command of SQL on top of cloud data warehouses - partitioning, clustering, query cost, idempotency * Strong experience with object-oriented programming and software design patterns, applied to data engineering applications * You have hands-on experience with at least four of the following technologies: + 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 * You can articulate trade-offs in your past decisions - batch vs. stream, build vs. buy, latency vs. cost, isolation vs. coupling - with concrete numbers from your own work * You thrive in a Kanban-style, low-process environment where seniors organise their own work and rotate triage weekly * You are fluent in English (C1) and enjoy working in a dynamic, international environment ## Description * You design, develop and maintain our streaming and CDC backbone (Apache Kafka, Debezium, Schema Registry, BigQuery Sinks) and our self-built workflow management platform Navarch, running on Kubernetes * You drive architectural initiatives across the platform end-to-end - from idea to production - spanning streaming, orchestration, the warehouse and the observability layer that sits across them * You operate and evolve our BigQuery multi-project setup, shaping access management, partitioning, slot strategy and cost-aware design patterns * You 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 * You build and maintain observability across the data platform (Datadog, Slack-native alerting, cost dashboards) and you take care of our CI/CD pipelines on our self-hosted GitLab instance * You shape how we manage BigQuery and Kafka cost at platform scale - FinOps is a live practice on this team, not a one-off * You bring a senior perspective into architectural decisions across the platform - design reviews, merge-request reviews, and the multi-quarter initiatives the team runs ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [The OpenTelemetry mistakes I keep seeing (and how to stop making them)](https://www.wearedevelopers.com/videos/100158-the-opentelemetry-mistakes-i-keep-seeing-and-how-to-stop-making-them) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Finding Jobs in Germany](https://www.wearedevelopers.com/magazine/375-finding-jobs-in-germany)