# Senior Data Engineer (all genders) at Kaufland e-commerce

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, develop and maintain the streami

- **Company:** Kaufland e-commerce (https://jobs.trythestack.co/companies/kaufland-e-commerce)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Permanent
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Apache Kafka, BigQuery, Python, SQL, Kubernetes, Debezium, Terraform, Ansible, dbt, CI/CD, GitLab, Datadog, FinOps, Data engineering, Software engineering, Cloud data warehouses
- **Posted by employer:** 2026-05-29
- **Added to The Stack:** 2026-08-14
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://real-digital.jobs.personio.com/job/2647446/apply (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-all-genders-kaufland-e-commerce

## About the role

Responsibilities:
- Design, develop and maintain the streaming and CDC backbone (Apache Kafka, Debezium, Schema Registry, BigQuery sinks).
- Build and operate Kubernetes-hosted platform components, including our workflow manager (Navarch) and self-hosted GitLab CI/CD pipelines.
- Lead cross-cutting architectural initiatives from concept to production across streaming, orchestration, warehouse and observability layers.
- Operate and evolve a BigQuery multi-project setup: access management, partitioning/clustering, slot strategy and cost-aware data models.
- Define platform boundaries and enable domain teams to ship pipelines reliably (ownership, quality guards, reduced hand-offs).
- Implement and maintain observability (Datadog, Slack alerts, cost dashboards) and platform-level FinOps practices.
- Provide senior input in design reviews, merge-request reviews and multi-quarter technical initiatives.

Requirements:
- Several years of senior data-engineering experience with independent ownership of production systems and on-call responsibility.
- Strong Python development skills and solid SQL knowledge for cloud data warehouses (partitioning, clustering, idempotency, query cost).
- Proven ability to troubleshoot complex, cross-component issues (schema evolution, broker lag, query performance, cost anomalies).
- Good software engineering foundations: object-oriented design, design patterns applied to data workloads.
- Hands-on experience with multiple of the following: Apache Kafka, Debezium, Schema Registry, BigQuery, Kubernetes, Terraform, Ansible, dbt, GitLab, Datadog.
- Experience applying FinOps at platform scale and designing cost-aware data architectures.
- Strong communication skills and experience driving technical decisions across teams.

## Responsibilities

You will design, develop, and maintain streaming and CDC backbones while driving architectural initiatives across the data platform. Additionally, you will operate BigQuery setups, manage observability, and mentor the team on FinOps and architectural best practices.

## Requirements

You must have several years of senior-level data engineering experience with independent ownership of production systems. Proficiency in Python, SQL, and hands-on experience with technologies like Kafka, Kubernetes, and cloud data warehouses is required.

## FAQ

- **Is this Senior Data Engineer (all genders) role still open?** It was posted on 2026-05-29. Listings more than 30 days old may no longer be active, so check Kaufland e-commerce's site before applying.
- **Does Kaufland e-commerce offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Kaufland e-commerce's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Apache Kafka, BigQuery, Python, SQL, Kubernetes, Debezium, Terraform, Ansible, dbt, CI/CD, GitLab, Datadog, FinOps, Data engineering, Software engineering, Cloud data warehouses.

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