# Senior Analytics Engineer > NALA · London, United Kingdom · Full-time · Posted 2026-04-29 **Workplace:** on_site **Department:** Analytics Engineering ## Description ### **👋 About Us** NALA is building Payments for the Next Billion. Faster, smarter, and fairer transfers for everyone. Since 2022, we've grown our business 120x, grown the team from 9 to 150+, [raised $50M+ from top-tier investors](https://medium.com/nala-money/the-next-billion-nalas-40m-announcement-eb9d8d005eae), and were named to the [Forbes Fintech 50](https://www.forbes.com/lists/fintech50/) in 2025. We operate two core products: - [**NALA**](https://www.nala.com/), our consumer app makes cross-border payments cheaper, faster and more reliable for the global diaspora. Allowing users to send money from the UK, US and EU to Africa and Asia. - [**Rafiki**](https://www.rafiki.com/), our B2B payments infrastructure, is powering global payments. Our team includes alumni from Wise, Stripe, Monzo, Revolut, and CashApp — operators who’ve scaled world-class products. We act with urgency, think deeply, and put our customers first always. At NALA, this isn’t just a job. It’s ownership, impact, and the chance to change global payments forever. Join us in building [Payments for the Next Billion](https://www.nala.com/blog/nalas-updated-mission#:~:text=When%20I%20started%20building%20NALA,are%20more%20urgent%20than%20ever.) ### 🙌 Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer — the foundation that all reporting, governed metrics, self-serve analytics and AI-powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. ### 🎯 Your Responsibilities in this Role - Own the transformation layer (dbt + Snowflake) — refactoring, enforcing best practices, and evolving our data stack to a best-in-class standard - Take ownership of streaming data pipelines alongside batch transformation — ensuring real-time and near-real-time data flows are reliable, cost-efficient and well-integrated into the broader data architecture - Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI-enforced defaults across all data models - Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend - Build the foundation for AI-powered self-serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers - Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer - Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team ### 🔥 Must-have requirements - 4+ years hands-on experience with dbt (ideally fusion) — building, refactoring and maintaining production-grade transformation layers - Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture - Snowflake or Databricks experience including query performance tuning and cost optimisation - Deep proficiency with AI-assisted development workflows (Cursor, Windsurf, Claude Code) to force-multiply engineering output and accelerate delivery - Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects - Comfortable owning an infrastructure roadmap — can assess the current state, propose a plan and execute without being directed step-by-step ### 💪 Nice to have requirements - Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer - Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) - Experience with Hex or similar modern BI/notebook platforms - Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences - Familiarity with experimentation frameworks and product analytics ### ✅ Success in the role looks like ### **3-Month Metrics** - Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities ### **6-Month Metrics** - Full ownership of warehouse coding standards, data architecture and infrastructure - Measurable improvement in the cost and efficiency of supplying data to the business - A clear data infrastructure roadmap delivered for the following 6 months ### ➡️ Interview Process You will need to first submit your application through our ATS Workable. There is no need to submit a Cover Letter. If successful you will be selected for our interview process which has 4 stages: - **\[30mins\] Interview with the Talent Team** - We want to understand your experience and motivations. - **\[1hr\] Live Assessment with the Data Team** - A practical exercise based on a realistic task, completed and discussed with a member of the data team. - **\[1hr\] Interview with the Hiring Manager** - A deeper dive into your experience, technical depth and approach to the role. - **\[45mins\] Senior Leadership Interview** - A final conversation with a member of our senior leadership team to discuss motivations and ask your own questions. ### **⭐️ Benefits** - **27 Days Off Plus UK Bank Holidays**: Take the time to decompress. Working at a startup is hard! - **Birthday Leave:** Celebrate your special day with a bonus day off to take off in that month. - **Enhanced Parental Leave:** We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) - **Enhanced Pension**: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! - **Global Workspace**: Get access to WeWork locations worldwide. - **Learning** **Budget**: Fuel your growth with $1000 annually for learning and development. - **Sarabi**: Themed snacks and Friday lunch focused on building great working relationships with the team. - **Monthly Socials**: Join fun social events every month for great times. - **Free Coffee**: Enjoy barista-style coffee at your fingertips. ## Apply [Apply at NALA](https://apply.workable.com/nalamoney/j/AEA1136DF6/apply) --- Powered by [Workable](https://www.workable.com)