At a Glance
- Tasks: Design and operate critical data infrastructure platforms to enhance data workflows.
- Company: Join Angi, a global leader in home services with a collaborative culture.
- Benefits: Competitive salary, hybrid work, and home office allowance.
- Other info: Empower teams while enjoying excellent career growth opportunities.
- Why this job: Make a real impact on data architecture in a dynamic environment.
- Qualifications: 5+ years in infrastructure or data engineering with cloud platform experience.
The predicted salary is between 85000 - 115000 £ per year.
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we’re a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you.
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.
Who You Are
- 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.
The salary band for this position ranges from £85,000 - £115,000, commensurate with experience and qualifications. Hybrid work environment and home office set‑up allowance.
Senior Engineer, Data Infrastructure in London employer: Angie's
At Angi, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through our hybrid work environment, competitive salary range, and support for home office setups, ensuring that our team members thrive both personally and professionally. Join us in shaping the future of home services while enjoying the benefits of working with a global leader in the industry.
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We think this is how you could land Senior Engineer, Data Infrastructure in London
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We think you need these skills to ace Senior Engineer, Data Infrastructure in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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