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About the Role

We are using modern data technologies to build an AI enabled data analytics platform. This platform will facilitate fast and iterative data analysis, allowing users to ask questions of the data and uncover insights. Snowflake SQL analytics pipelines are created in dbt, Looker is the data visualisation platform, and Python is the go-to language for statistical analysis and data engineering.

Responsibilities

• Collaborate with product engineers to understand event data schemas and translate raw event streams into data models within the data warehouse.
• Build well-governed dbt models in Snowflake, including the development of the core data warehouse, data marts, metrics, and reusable datasets.
• Apply dimensional modeling to ensure clear relationships and performant joins, while strategically utilising OBT designs to optimise for BI tool performance and end-user access.
• Evolve the semantic layer within Looker to define governed, maintainable approaches to metrics.
• Design and implement robust testing, monitoring, and alerting frameworks for analytics data.
• Contribute to building a high level of data integrity across the dbt transformation layer.
• Help drive the adoption of self-serve analytics through clear technical documentation, training sessions, and enablement strategies.
• Create high-quality datasets specifically structured to serve as the reliable context for AI agents.
• Partner with Finance, Sales and Compliance teams to translate requirements into governed data models.

Requirements

• Expert-level SQL skills to write robust, maintainable, and highly performant code using Snowflake.
• Proven experience building and scaling data pipelines using dbt, including incremental loading patterns, macros, and handling late-arriving data.
• Experience developing complex semantic layers in Looker.
• Practical experience handling data from event-driven systems to capture state-changes over time.
• Expertise in Dimensional Modeling (Star Schemas) and OBT design patterns.
• A rigorous approach to data quality, comprehensive audit logging and reconciliation frameworks.
• Proven experience managing the data warehouse lifecycle, including implementing Slowly Changing Dimensions (SCDs) and schema evolution strategies.
• Experience working in a financial environment like Finance or Insurance where high precision of data is important.
• A natural analytical, numerical mindset and ability to translate complex data problems into clear findings.
• A strong willingness to work independently, take initiative, and take full ownership of the data transformation layer and key business metrics.

Skills

• SQL
• Snowflake
• dbt
• Looker
• Python
• Dimensional Modeling
• OBT (One Big Table)
• Event-Driven Data Modeling
• Time-Series Data Modeling
• Slowly Changing Dimensions (SCDs)
• Data Quality Governance
• Testing Frameworks
• Monitoring Frameworks
• Alerting Frameworks
• Technical Documentation
• AI Readiness
• LLM-driven productivity

Location

• Remote

Work Type

• Full-time
• Flexible working model

Experience Level

• Senior

Benefits

• 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

About the Company

• 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.
• Founded by Samir Desai CBE, co-founder of Funding Circle.
• Trusted by thousands of businesses and more than 4 million customers.
• Processing at a run rate of £1.5B and growing 4x YOY.
• Our Values: Customer obsessed, Move fast, Own it, Be open, Win together.

Equal Opportunity

• 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.