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This is a high-impact, high-autonomy role where you will design, build, and scale the company’s entire data capability from ingestion through to insight and prediction. You’ll work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, and genuinely useful. You’ll turn messy, fast-moving problems into automated, production-grade systems that inform product strategy, customer behaviour, and operational decisions. If you enjoy building from first principles, moving fast, and taking real ownership, this role offers an unusually broad scope and level of influence.
Job Responsibility:
Take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions
Own the data stack end-to-end and work at the intersection of analytics, engineering, and applied machine learning
Design, build, and scale the company’s entire data capability from ingestion through to insight and prediction
Work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, and genuinely useful
Turn messy, fast-moving problems into automated, production-grade systems that inform product strategy, customer behaviour, and operational decisions
Requirements:
Strong Python for pipelines and analysis
Advanced SQL and hands-on dbt experience
Experience building data platforms from scratch in a fast-growth environment
Comfortable working with ambiguity, changing priorities, and tight timelines
Confident using AI coding tools as part of your daily workflow