Cricket Connect
Backend / Data Engineer — Cricket Analytics (TypeScript · PostgreSQL · Applied Stats)
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Backend / Data Engineer — Cricket Analytics (TypeScript · PostgreSQL · Applied Stats)
Backend Intelligence Engineer
(Contract or Full-Time • Remote • AI-Native Cricket Intelligence Platform)
We're an AI-native cricket intelligence platform. Our engine processes ball-by-ball data, encoding it into pre-computed analytics used by professional coaches, analysts, and franchises — including several T20 franchises and the European T20 Premier League, where we serve as the technology partner.
We’re a small, senior team focused on precision. You’d collaborate directly with our lead developer on the core intelligence layer: the nightly pipeline that computes the metrics underlying all of our work.
What You’ll Do
- Extend and refine our library of pre-calculation tables — tweaking parameters, thresholds, and computation logic as our models mature.
- Design and develop new tables end-to-end:
- Define the metric specification → schema → aggregation logic → integration into the nightly dependency graph.
- Write statistical logic that’s both correct and defensible:
- Sample-size thresholds for robustness.
- Bayesian smoothing for data sparsity.
- Z-scoring, confidence tiers, and fallback hierarchies to ensure reliability.
- No shortcuts: typed, tested, and idempotent migrations.
- Maintain a relentless focus on correctness over speed.
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What We’re Looking For
- Strong TypeScript/Node.js expertise — fluent in strict, fully typed codebases.
- Deep PostgreSQL mastery — skilled in:
- Hand-written SQL.
- Window functions, aggregations, and query performance tuning.
- Disciplined migration practices (using raw
pg, no ORMs).
- Applied data science/statistics background — you should be able to:
- Translate a metric definition into statistical aggregation code that’s mathematically sound, not just "functional."
- Care about correctness over solved problems.
- Passionate about clean architecture — preferring robust over fast.
- True textbook-level understanding of cricket — no fluff: we need a cricketer’s pathos (or else)!
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Nice to Have (Priority: Depth > Breadth)
- AWS experience (e.g., Lambda, S3).
- Experience in sports analytics, quantitative modelling, or any field where precision trumps anything else.
Not Needed
- Front-end development.
- React or full-stack breadth.
- Experience with trivial metrics; we’re after deep domain + technical proficiency.
Get in Touch
Send a short note and anything proving you think about data like a statistician: a project, a repo, a problem you fixed. Explain how you’d transform a metric definition into reliable code.
(Example: "I rebuilt their player fatigue model with ABC.")
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