> Markdown version of [/jobs/ext/391558-senior-engineer-data-infrastructure](https://www.wearedevelopers.com/jobs/ext/391558-senior-engineer-data-infrastructure). 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 Engineer, Data Infrastructure

- **Company:** Angi
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Salary:** €85,000.0 - €115,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Architecture, Information Engineering, Data Infrastructure, Cursor (Graphical User Interface Elements), Distributed Systems, Open Source Technology, Software Tools, Pulumi, Data Processing, Cloud Platform System, GitHub Copilot, System Availability, Kubernetes, Apache Kafka, Data Management, Database Replication, Terraform
- **Published:** June 14, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=8581073df4f57fe5

## About the Role

Do you have experience in Terraform?, * 5+ years of experience in infrastructure, platform engineering, or data engineering roles

 * Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges
 * Strong background in infrastructure architecture within large-scale or enterprise environments
 * Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems
 * Extensive experience with end-to-end Kubernetes management, including cluster provisioning, lifecycle management, and observability
 * Strong proficiency with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, crossplane, or Pulumi) to automate and manage cloud environments
 * Proven experience self-hosting and managing core infrastructure and open-source tools as an alternative to using commercial managed services
 * Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg)
 * Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows
 * Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery
 * Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders
 * Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners
 * Track record of producing clear, high-quality documentation and enabling others through shared knowledge
 * Mindset of an enabler-focused not only on building systems, but on empowering other teams to use them effectively

## Description

Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows.

What You'll Do:

 * Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute)
 * Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads
 * Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards
 * Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives
 * Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows
 * Participate in on-call rotations and lead troubleshooting efforts for complex production issues
 * Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability


## 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)
- [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code)
- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [Terraform for Developers](https://www.wearedevelopers.com/videos/3-terraform-for-developers)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)

## Related Articles

- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)