Analytics Engineer at Funding Circle | GBR | Rezi

Analytics Engineer at Funding Circle

Analytics Engineer

Funding Circle · GBR

2 weeks ago

Analytics Engineer

Funding Circle · GBR

15 days ago
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About the Role

We are seeking an Analytics Engineer to join our central data team and help shape the data foundations for high growth areas of Funding Circle. This role offers a unique opportunity to help build a top-tier Analytics Engineering function with significant business backing, investing in people, tools, and technology.

Responsibilities

  • Build and own high-quality dbt models, ensuring they are performant, well documented, and thoroughly tested.
  • Collaborate 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 within the immediate team and across the business.
  • Consult on the evolving data platform, advising on tooling, infrastructure, and practices for best-in-class Analytics Engineering.
  • Architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission.
  • Act as a technical bridge and mentor, training "builders" across the company to move from basic AI usage to sophisticated system creation.

Requirements

  • 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.

Skills

  • SQL
  • DBT
  • Dimensional Modelling
  • AWS data services (S3, Athena, Glue)
  • Airflow
  • Data lakes
  • Modern data warehouses (Snowflake, Redshift, BigQuery)
  • AI
  • Machine Learning

Location

  • London

Work Type

  • Hybrid
  • 2 days in the office

Experience Level

  • Mid-level

Salary/Compensations

  • Competitive Salary

Benefits

  • Benefit allowance tailored to individual life and family.
  • Private medical and dental insurance.
  • Health assessments.
  • Access to a digital GP.
  • Life assurance.
  • Share schemes.
  • Financial coaching.
  • Dedicated annual learning allowance.
  • Electric car scheme.
  • Cycle-to-work scheme.
  • Season ticket loans.
  • Award-winning parental leave policies.
  • Support for fertility treatments.
  • Subsidised Just Eat lunches.

About the Company

  • We are on a mission to back UK small businesses like no one else.
  • Our platform uses data to provide funding to small businesses quickly.
  • We combine the energy of a fintech start-up with the stability of a public company.
  • We foster a high-performing, supportive team environment.
  • In the past year, businesses on our platform generated £7.2bn for the UK economy.

Equal Opportunity

  • We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.