Senior Analytics Engineer - AI-Driven Data Platform

Super Payments; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Tax advantage Share Options

Work from home set up

Contributory Pension Scheme

Free Team lunch (Tues & Thurs) and soc

Your birthday off, plus one Revivalday

Job summary

Super Payments seeks a senior data engineer to build and scale an AI-enabled analytics platform. You will work with Snowflake, dbt, Looker, and Python to deliver robust data pipelines, semantic layers, and governed data models ensuring accurate, auditable financial datasets for analytics and decision-making.

This role emphasizes upstream data collaboration, data quality frameworks, and self-serve analytics enablement across Finance, Sales, and Compliance teams.

Qualifications

• Experience building and scaling data pipelines with dbt and Snowflake.
• Expert-level SQL for robust data models.
• Experience creating semantic layers in Looker.
• Event-driven and time-series data modeling experience.
• Strong data governance and auditing capabilities.

Responsibilities

• Upstream engineering collaboration to model event data.
• Maintainable data pipelines and dbt models.
• Data modeling and OBT/Star schema design.
• Governance, quality frameworks, and self-serve enablement.

Skills

SQL

Snowflake

dbt

Looker

Data Modeling

Data Governance

Stakeholder Comms

Time-series

Tools

Snowflake

dbt

Looker

Python

Job description

Super Payments seeks a senior data engineer to build and scale an AI-enabled analytics platform. You will work with Snowflake, dbt, Looker, and Python to deliver robust data pipelines, semantic layers, and governed data models ensuring accurate, auditable financial datasets for analytics and decision-making.

This role emphasizes upstream data collaboration, data quality frameworks, and self-serve analytics enablement across Finance, Sales, and Compliance teams.