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Mumbai, Maharashtra, India
Hybrid
🌱 We were founded in 2007
💰 We have provided over $3bn of funding to small businesses so far
🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025
🌍 We're a global team, with a dynamic presence in 6 key locations around the world
🧠 We're a thriving community of over 290 innovative minds
👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team
🏢 Our team brings experience from over 740 previous companies, from startups to global giants
🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle
💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!
Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.
Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.
As an Analytics Engineer, you’ll design and own the transformation layer that turns raw operational data into reliable, well-documented analytical assets.
Working at the intersection of data engineering and business analytics, you’ll build trusted data models, metrics and entities that power dashboards, reporting and business decisions across Liberis. You’ll take ownership of analytical problems from initial discovery through to production, working closely with data engineers, analysts and business stakeholders.
You’ll also use AI tools such as Claude Code and Codex to accelerate delivery, automate routine work and improve how analytical solutions are developed—while maintaining appropriate review, testing and human oversight.
Success in this role means creating high-quality data products that stakeholders trust, enabling greater self-service and making our analytics platform easier to maintain and evolve.
Next steps If this opportunity feels like the right fit for your next career move, we’d love to hear from you!
Even if you don’t meet every requirement, don’t hesitate to apply or reach out to Chess (Internal Recruiter) on chess.crossley@liberis.com
Our hybrid approach
Working together in person helps us move faster, collaborate better, and build a great Liberis culture. This role requires at least three days per week in the office, with flexibility around which days depending on team and business needs. Our ways of working may evolve over time, including office attendance expectations. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.
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