Senior Analytics Engineer - AI-Driven Data Platform(Remote)

Super Payments; England; 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)

Your birthday off

Job summary

Super Payments is building an AI-enabled data analytics platform, leveraging Snowflake, dbt, and Looker to deliver fast, iterative analytics. You will partner with Product, Finance, and Compliance to translate data requirements into governed models and dashboards.

The role focuses on scaling data pipelines, maintaining data quality, and enabling self-serve analytics for non-technical users while supporting AI-enabled insights across the business.

Qualifications

• Expert-level SQL and data warehouse engineering.
• Experience building and scaling data pipelines with dbt.
• Strong knowledge of Looker semantic layers.

Responsibilities

• Develop and maintain Snowflake data warehouse, marts, metrics, and reusable datasets.
• Model data using dimensional design and OBT patterns for BI performance.
• Own semantic layer in Looker and ensure governed metrics.

Skills

SQL & Data Warehousing

dbt

Looker

Snowflake

Python

Time-series data modeling

Event-driven design

Data governance

Tools

dbt

Looker

Snowflake

Job description

Super Payments is building an AI-enabled data analytics platform, leveraging Snowflake, dbt, and Looker to deliver fast, iterative analytics. You will partner with Product, Finance, and Compliance to translate data requirements into governed models and dashboards.

The role focuses on scaling data pipelines, maintaining data quality, and enabling self-serve analytics for non-technical users while supporting AI-enabled insights across the business.