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Healf

Lead Data Engineer

This role is for a Lead Data Engineer focused on building a scalable data ecosystem for a health and wellbeing e-commerce platform. Requires 4+ years in data engineering, expertise in Snowflake and AWS, and strong SQL and Python skills. Permanent position.
🌎 Country
United Kingdom
🏝️ Location
Unknown
📄 Contract
Full-time
🪜 Seniority
Mid-Senior level
💰 Range
Unknown
💱 Currency
£ GBP
💸 Pay
Unknown
🗓️ Discovered
September 4, 2025
📍 Location detailed
London, England, United Kingdom
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🧠 Skills
#Unknown
Role description
Build the Future of Wellbeing Do Your Life’s Best Work If modern wellbeing were redesigned from scratch, it wouldn’t live in a GP’s office or a cluttered supplement aisle. It would be digital-first, beautifully curated, and powered by data that actually helps you feel your best. That’s what we’re building at Healf—an ecommerce platform at the intersection of personalised health and curated wellbeing. We connect customers with the world’s most effective products across EAT MOVE MIND and SLEEP, and we’re just getting started. We combine culture-shaping storytelling, cutting-edge health tech (like our new blood testing platform, Healf Zone), and a best-in-class product experience to help people build rituals that work. Backed by investors behind Soho House, Alo Yoga, Cult Beauty, and Innocent, we’re scaling fast—and redefining how the world shops and lives well. The Role We're seeking an experienced and strategic Lead Data Engineer to guide our data platform and infrastructure, accelerating the growth of our health and wellbeing e-commerce platform. In this senior position, you’ll architect and oversee our scalable, high-quality data ecosystem, champion best practices across our modern data stack (Snowflake, dbt, ThoughtSpot, AWS), and mentor a growing team of data and analytics engineers. You’ll partner closely with analytics, product, and executive stakeholders to translate business objectives into a robust data infrastructure that empowers data-driven decision-making. Key Responsibilities Data Platform Leadership & Strategy • Define the technical roadmap for our core data platform, setting standards for data architecture, infrastructure scalability, and CI/CD. • Ensure governance, security, and compliance across our entire data ecosystem (Snowflake, dbt, AWS). Data Engineering & Architecture • Architect and optimize our ETL/ELT pipelines, leveraging AWS services (S3, Glue, Lambda, Step Functions) for scalable data ingestion and orchestration. • Build robust frameworks for data ingestion, transformation, and serving layers with a focus on performance and cost efficiency. Technical Mentorship & Development • Provide technical guidance to a growing team of data analysts and analytics engineers, conducting design reviews, and fostering a strong engineering culture. • Mentor engineers on technical best practices and help them advance their engineering skills. Collaboration & Business Enablement • Partner with analytics, product, and marketing teams to translate business needs into scalable data solutions. • Evolve our BI layer (e.g., ThoughtSpot) to enable trustworthy, self-service analytics for business users. Data Reliability & Innovation • Implement robust monitoring, alerting, and data validation frameworks to ensure the reliability of our data pipelines and datasets. • Stay current with emerging data technologies (e.g., lakehouse, streaming) and continuously modernize our data stack. Qualifications • 4+ years of experience in a data engineering role, ideally in e-commerce or D2C environments. • Proven expertise in Snowflake and dbt for large-scale data architecture, modeling, and transformation is ideal. • Strong proficiency in SQL (query tuning, optimization, execution plans). • Proficiency in Python for scripting, automation, and integration. • Solid hands-on experience with AWS data services: S3 (data lake storage), Glue (ETL), Lambda/Step Functions (event-driven orchestration). • Experience implementing data observability and reliability frameworks. • Demonstrated leadership in growing engineering teams, conducting architecture reviews, and driving coding standards. • Excellent ability to collaborate with business stakeholders and communicate technical trade-offs clearly. • Familiarity with BI platforms (ThoughtSpot, Looker, Tableau) and enabling scalable self-service analytics. • A strategic thinker passionate about data infrastructure, best practices, and enabling a data-driven culture. Why Join Healf? • Do your life’s best work – Build something that matters, with a team that moves fast and aims high • Surround yourself with A+ talent – You’ll work with high-performers who care deeply and raise the standard every day • Be a builder – This isn’t a cog-in-the-machine role. You’ll help shape our voice, culture, and growth • Wellbeing is the lifestyle – From office yoga to Healf Zone insights, everything we do is rooted in our pillars: EAT MOVE MIND SLEEP