Senior Analytics Engineer

The Role

You will join an extension team of our client – Funding Circle.

At Funding Circle, we believe the world needs small businesses. That’s why we’ve made it our mission to help them get the finance they need to grow.

With more than a decade of expertise under our belt, we’ve built a game-changer of a platform with cutting-edge data and technology that’s reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash.

We know that good business is about good people. So, we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience.

We are looking for a Senior Analytics Engineer to join our Data Engineering team which sits under Tech and Data.

We have opportunities across multiple teams, each tackling unique challenges and building high impact data models to power critical reporting and self-serve analytics. Joining us, you will help shaping the data foundations for high growth areas of Funding Circle.

This is a unique opportunity to help build a top tier Analytics Engineering function, with the full backing of the business. We’re investing heavily in the people, tools, and technology needed to make it happen – and giving you the chance to play a key role in shaping its future.

What you’ll do:

• Building and owning high quality dbt models, ensuring they are performant, well documented and thoroughly tested
• Collaborating with analysts and data scientists to understand their needs and build models that drive insights and decision making
• Champion best practices for data modelling, transformation, and governance, in your immediate team and across the business
• Consult on our evolving data platform, advising on the tooling, infrastructure and practices needed to enable best-in-class Analytics Engineering

What we’re looking for:

• Strong SQL skills, with experience writing efficient and well-structured queries
• Hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices
• Strong understanding of dimensional modelling
• Familiarity with AWS data services (S3, Athena, Glue)
• Experience with Airflow for scheduling and orchestrating workflows
• Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)
• A pragmatic problem solver who can balance technical excellence with business needs

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