--- title: 'Senior Analytics Engineer at Super Payments' canonical: 'https://feeny.ai/job/senior-analytics-engineer-super-payments-london-abpkcb2z08x6' type: 'job' last_seen: '2026-09-08' --- # Senior Analytics Engineer at Super Payments - **Company:** Super Payments - **Location:** London, United Kingdom - **Posted:** 2026-08-04 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.eu.greenhouse.io/superpayments/jobs/4944864101 ## Job description Super Payments Super Payments is the only global fintech platform providing 0% processing fees for merchants. Our mission is to use data and AI to make payments free for businesses, so that everyone wins. At Super, we are disrupting payments, like Spotify did to music and Robinhood did to trading. We don't make money from transaction fees;  instead, we monetise through value-added services such as lender commissions and FX. Our platform supports multiple payment methods — from traditional cards to direct bank transfers via open banking, as well as Apple Pay, Google Pay, and our own Buy Now Pay Later solution. Super has raised $66M from leading investors including Accel, Union Square Ventures and Local Globe (the same investors behind Spotify, Stripe, Monzo) and founded by Samir Desai CBE, co-founder of Funding Circle. Already trusted by thousands of businesses and more than 4 million customers, Super is processing at a run rate of £1.5B and growing 4x YOY ## Our Values - Customer obsessed: We only succeed when our customers do. - Move fast: Build, test and improve quickly. Progress matters more than perfection. - Own it: Be accountable, solve problems, and make it happen. - Be open: Act with honesty and respect. Transparency builds trust. - Win together: Collaboration beats ego every time. Senior Analytics Engineer ## Role Overview We are using modern data technologies to build an AI enabled data analytics platform. One that facilitates fast and iterative data analysis, allowing you to get on with asking questions of the data and uncovering insights. Snowflake SQL analytics pipelines are created in dbt, Looker is the data visualisation platform to provide a maintainable and consistent way to define metrics and dashboards. Python is the go-to language for statistical analysis and data engineering. ## Key Responsibilities Data Pipelines & Modeling - Upstream Engineering Collaboration: Collaborate with product engineers to understand event data schemas and translating raw event streams into data models within the data warehouse to create a single source of truth for key metrics. - Maintainable Data Pipelines: Build well-governed dbt models in Snowflake, including the development of the core data warehouse, data marts, metrics, and reusable datasets. - Data Modeling: Apply dimensional modeling to ensure clear relationships and performant joins, while strategically utilising OBT (One Big Table) designs to optimise for BI tool performance and ease of end-user access. Governance & Reliability - Semantic Layer Ownership: Evolve the semantic layer within Looker to define governed, maintainable approaches to metrics. - Quality Frameworks: Design and implement robust testing, monitoring, and alerting frameworks for analytics data to proactively identify and resolve pipeline failures. - Data Quality Governance: Contribute to building a high level of data integrity across the dbt transformation layer, ensuring that SQL logic is robust, maintainable, and accurate. Self Serve & Collaboration - Self-Serve Strategy: Help drive the adoption of self-serve analytics through clear technical documentation, training sessions, and enablement strategies for non-technical users. - AI Readiness: Create high-quality datasets specifically structured to serve as the reliable context for AI agents, ensuring our data models are optimised for automated discovery and LLM-driven productivity. - Stakeholder Collaboration: Partnering with Finance, Sales and Compliance teams to translate requirements into governed data models that ensure financial datasets remain audit-ready and fully reconciled. ## Requirements We'd love it if you have - SQL & Warehouse Engineering: Expert-level SQL skills to write robust, maintainable, and highly performant code using Snowflake. - Modern Transformation Frameworks: Proven experience building and scaling data pipelines using dbt. Including incremental loading patterns, macros, and the handling of late-arriving data. - Semantic Layer & BI: Experience developing complex semantic layers in Looker. - Event-Driven & Time-Series Data Modeling: Practical experience handling data from event-driven systems to capture state-changes over time. Modeling & Architecture - Data Modeling: Expertise in Dimensional Modeling (Star Schemas) and OBT (One Big Table) design patterns to balance warehouse performance with end-user accessibility. - Data Integrity & Governance: A rigorous approach to data quality, comprehensive audit logging and reconciliation frameworks to ensure every record can be fully reconciled against source systems for Finance and Compliance audits. - Warehouse Evolution & Historical Tracking: Proven experience managing the data warehouse lifecycle, including implementing Slowly Changing Dimensions (SCDs) and schema evolution strategies to ensure historical accuracy and long-term data lineage. Domain Knowledge & Ownership - Finance, Insurance, or FinTech Background: Experience working in a financial environment like Finance or Insurance where high precision of data is important. - Technical Communication: A natural analytical, numerical mindset and ability to translate complex data problems into clear findings for both technical and non-technical stakeholders. - Ownership & Initiative: A strong willingness to work independently, take initiative, and take full ownership of the data transformation layer and key business metrics. *The stated experience and background is a guide and does not preclude applications from candidates with more or less experience, provided the requisite skills can be demonstrated. Our Benefits - here’s a few and more to come …. - Tax advantage Share Options - Flexible working model - Work from home set up - Learning & Development opportunities - Contributory Pension Scheme - Free Team lunch (Tues & Thurs) and social evenings - Comprehensive PMI & x4 Life Insurance - Your birthday off, plus one Revival day If you are excited about sharing the adventure, joining a growing team with big ambitions and you are really great at what you do, then apply now! Super Payments is an equal opportunity employer, embracing diversity in all its forms and fostering an inclusive environment. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, neurodiversity status, pregnancy or trade union membership. Please let us know if you require any reasonable adjustments at any point during the application and/or recruitment process. ## About Super Payments ## Company Overview - **One-liner**: Super Payments is a payment network that eliminates processing fees for merchants while offering shoppers rewards and flexible payment options, using AI and open banking to make payments free. - **Entity Type**: Private (backed by ~$100 million in total funding; seed round of $6.3M in 2022 led by Accel) - **Headquarters**: London, United Kingdom (123 Buckingham Palace Road, London, SW1W 9SH) - **Founded**: 2022 (company number 13903817) - **Founders**: Samir Desai (co-founder of Funding Circle) ## Core Business - **Primary Industry**: Financial Services / Payment Processing - **Target Customers**: B2B (merchants of all sizes) and B2C (shoppers) - **Mission**: “Make payments free, so everyone wins.” Super uses data and AI to eliminate the cost out of getting paid. ## Products & Services - **Super Payment Network** (Platform): A payment gateway that processes transactions at 0% processing fees for merchants. Supports multiple payment methods including open banking (direct bank transfers), traditional cards (Visa, Mastercard, Amex), Apple Pay, Google Pay, and its own Buy Now Pay Later (BNPL) solution called Super Credit. - **Super Credit** (BNPL): A regulated deferred payment option provided by Abound, offered free to merchants (Super earns commission from lenders). Shoppers can pay later, increasing average order value. - **Rewards Program**: Shoppers earn rewards on purchases, driving repeat purchases (1.3x more often) and brand loyalty. - **In-Person Payments**: Seamless setup for in-store payments. - **1-Click Checkout**: Express checkout for returning customers to boost conversion. - **Optional Paid Add-ons**: Enhanced features like Amex acceptance, corporate surcharging, and advanced fraud protection. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Processing over $1 billion annually; growing 4x year-on-year; over 4 million UK customers - **Total Funding**: ~$100 million raised (per company website). Known seed round of $6.3 million in 2022 led by Accel. - **Notable Investors/Partners**: Backed by Accel (led seed round) and the same investor group behind Facebook, Spotify, Stripe, Monzo, and Twitter. Angel investors include former CEO of WorldPay and founder of Betfair. Open banking powered by Yapily and Modulr; card payments by Stripe. - **Growth Signals**: 4x year-over-year growth; processing $1B+ annually; target of $1 trillion in annual payments within 10 years; expanding in-store payments. ## Competitive Advantages - **0% Processing Fees**: Super eliminates the cost of payment processing for merchants, a unique differentiator in the payments space. - **AI-Powered Technology**: Uses data and AI to optimize checkout speed, security, and conversion. - **Multi-Method Support**: Combines open banking, cards, and BNPL in one platform with no added fees. - **Rewards & Loyalty**: Built-in rewards program increases customer retention and order value. - **Regulated BNPL**: Super Credit is fully regulated (FCA), offering merchants a compliant way to boost AOV. ## Strategic Focus - **Scale to $1 Trillion**: Ambition to reach $1 trillion in annual payments within a decade. - **Merchant Acquisition**: Growing merchant base by offering free payments and revenue growth tools. - **Product Expansion**: Deepening in-person payments and enhancing AI-driven checkout experience. - **UK Market Leadership**: Currently focused on the UK, with potential international expansion. ## Why Work Here - **Culture**: Values-driven (“Move fast”, “Be customer obsessed”, “Own it”, “Be open”, “Win together”). Described as “eclectic, quirky and unafraid” with a focus on solving hard problems collaboratively. - **Work Model**: Flexible working model; hybrid with a London office (team lunches Tues/Thurs and social evenings). - **Benefits (UK)**: - Tax-advantage share options - Competitive base + variable + equity - Comprehensive private medical insurance (PMI) & x4 Life Insurance - Contributory pension scheme - Unlimited PTO (US roles) / flexible holiday (UK) - Birthday off plus one “Revival day” - Wellness and home office stipends - Learning & development opportunities - Choice of laptop - Referral bonus - **Team**: ~43 employees (as of mid-2026), mostly in UK. Technical team makes up 36% of headcount. High talent density with alumni from Revolut, Funding Circle, Habito, Deliveroo, etc. - **Growth Trajectory**: 4x YoY growth, processing $1B+ annually, ambitious $1T target – offers significant career impact and scaling experience. ## Sources 1. [superpayments.com/about](https://www.superpayments.com/about) 2. [superpayments.com/](https://www.superpayments.com/) 3. [superpayments.com/careers](https://www.superpayments.com/careers) 4. 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