Harrington Starr
Lead Data Engineer
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Join a pioneering team transforming the property management industry with an AI platform that automates operational tasks, enhancing efficiency in a £33B market.
The Role
They are looking for a Lead Data Engineer to design and scale the data infrastructure, supporting real-time processing and machine learning workflows.
Key Responsibilities
- Architect and build scalable data pipelines and infrastructure.
- Maintain data ingestion, transformation, and storage systems.
- Develop batch and real-time data pipelines.
- Collaborate with AI and backend teams for feature support.
- Ensure data reliability, security, and governance.
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Requirements
- 7+ years in data or backend engineering.
- Strong experience with data pipelines and distributed systems.
- Proficient in relational databases (PostgreSQL preferred) and NoSQL.
- Strong Python programming skills.
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Nice to Have
- Experience with JavaScript/Node.js, cloud infrastructure (GCP, AWS, Azure), and AI platforms.
What They’re Looking For
- A high-ownership engineer who thrives in a fast-paced startup.
- Strong problem-solving and architectural thinking skills.
Why Join
- Build the foundations of a groundbreaking AI company.
- Work closely with founders and core engineering teams.
- Competitive salary and equity.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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