Job Application for Senior Analytics Engineer at Super Payments Back to jobs New Senior Analytics Engineer London Apply 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. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Country * Phone * Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please kindly let us know your salary expectations and notice period to ensure that we are aligned. * Please kindly let us know if you require Sponsorship for this role? * LinkedIn Profile GDPR * Select... When you apply to a job on this site, the personal data contained in your application will be collected by Super Payments Ltd (“Controller”), which is located at 123 Buckingham Palace Road, London, United Kingdom, SW1W 9SR (and can be contacted by emailing [email protected] ). Super Payments Ltd’s data protection officer is Jag Thind, who can be contacted at [email protected] . Your personal data will be processed for the purposes of managing Super Payments Ltd recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Super Payments Ltd to help manage its recruitment and hiring process on Super Payments Ltd’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses. You can obtain a copy of the standard contractual clauses by contacting us at [email protected] Your personal data will be retained by Super Payments Ltd as long as Super Payments Ltd determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Super Payments’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to
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