About the role

Founding Central Data Engineer at hyperexponential responsible for implementing data platform solutions. Collaborating with Central Data team to innovate and enhance data capabilities in insurance.

Responsibilities

Designing, building and owning hx’s Databricks lakehouse, including workspaces, clusters, Unity Catalog, medallion architecture, Delta tables, RBAC and cost controls, becoming the central source of truth for the company.
Implementing robust ELT pipelines (Spark, dbt or similar) with tests, documentation, CI and monitoring to deliver daily freshness and agreed hourly SLAs with ≤4h recovery for critical data.
Modelling cross-domain Gold entities and certified metrics across customers, usage, pricing, finance, people and GTM with clear grain, history and reconciliation paths that power all exec and board reporting.
Building hx’s first embedding, vector and retrieval layer over curated tables and documents, enabling live RAG and agent workflows such as premium explanations, version tracing and automated KPI summaries.
Establishing data contracts, data quality checks, audit and observability patterns so teams can trust, debug and self-serve confidently across the platform.
Acting as a founding partner to product, FP&A, people and GTM by unblocking ambiguous data problems, setting data standards from scratch and driving the company’s AI readiness.

Built and run a Databricks-style platform with medallion layers, Unity Catalog, RBAC, SLAs, cost tuning and runbooks that served as a company’s primary data environment.
Delivered multi-domain models linking product/platform, finance, people and GTM data into coherent entities and certified metrics, including revenue reconciliation and historical tracking.
Created production-grade data pipelines using SQL, Python, Spark and Git workflows with tests, alerts, logging and documentation that elevated engineering quality across a team.
Built at least one real-world RAG or vector search system using embeddings, thoughtful chunking, metadata, evaluation and safe retrieval patterns.
Used data as software: robust CI, clear acceptance criteria, debugging discipline, observability, dev-to-prod promotion and well-maintained runbooks.
Served as an early or founding data hire, translating messy questions from senior leaders into clear designs, spotting systemic issues and raising the quality bar beyond your core remit.

£5,000 training and conference budget for individual and group development.
25 days of holiday plus 8 bank holidays (33 days total).
Company pension scheme via Penfold.
Mental health support and therapy via Spectrum.life.
Individual wellbeing allowance via Juno.
Private healthcare insurance through AXA.
Income protection and Life Insurance.
Cycle to Work Scheme.
Top-spec equipment (laptop, screens, adjustable desks, etc.).
Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
Access to cutting-edge AI tools and experimentation budget, giving you the freedom to test, learn, and innovate ahead of the market.
Exceptional opportunities for personal development and growth as we build something remarkable together.