At a Glance
- Tasks: Design and build critical data infrastructure platforms for scalable data workflows.
- Company: Join Angi, a global leader in home services with a collaborative culture.
- Benefits: Competitive salary, hybrid work, home office allowance, and social events.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make an impact on data architecture while working with cutting-edge technologies.
- Qualifications: 5+ years in infrastructure or data engineering with cloud platform experience.
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 at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team:
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
Compensation & Benefits
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. Temporary work from abroad policy. Regular team and social events.
Senior Engineer, Data Infrastructure in London employer: Angi
Angi is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to make a meaningful impact in the home services industry. With a strong focus on employee growth, Angi offers opportunities for skill development through hands-on experience with cutting-edge technologies and a supportive hybrid work environment. Additionally, the company promotes a healthy work-life balance with flexible working arrangements and regular team events, ensuring that employees feel valued and engaged.
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We think you need these skills to ace Senior Engineer, Data Infrastructure in London
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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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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
