Tech Lead, Analytics Engineer

Funding Circle; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Barista coffee

Just Eat lunches (subsidised)

Parental leave policies

Flexible work approach

Job summary

Funding Circle in London (Hybrid) invites an experienced data engineer to own our data modelling strategy and deliver scalable data models. You’ll guide transformations, governance, and feature design to improve data usability and impact on business decisions.

You will mentor engineers, collaborate with the Engineering Manager to break down technical requirements, and champion best practices across SQL, Python, PySpark, dbt and orchestration tools.

Qualifications

• Extensive experience in SQL, Python, PySpark and related data processing languages.
• Strong knowledge of dbt and orchestration tools like Airflow.
• Expertise in ER and dimensional modelling for data warehousing.
• Experience with cloud data warehouses (Snowflake, Databricks, BigQuery) on AWS/GCP/Azure.

Responsibilities

• Owns the data modelling strategy, sets standards for data modelling, transformations, and governance.
• Leads the design and implementation of new features, such as the creation of a new star schema and other best practices to optimise data usability.
• Sets best practices and standards on how we use SQL & dbt / Python / Pyspark and/or other languages to solve business problems.
• Becomes an expert in the business subject area the team are working on, holding expertise on both the business requirements as well as the technical implementation.
• Delivers high quality code, provides technical mentorship and ensures the team is building scalable, maintainable data models.
• Co-owns the backlog with the Engineering Manager and helps to break down technical requirements.

Skills

SQL

Python

Pyspark

ER modelling

Dimensional modelling

AI system design

Mentorship

Requirements translation

Data governance

Tools

dbt

Airflow

Tableau

Job description

We’re on a mission to back the UK’s small businesses like no one else

Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.

At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.

We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better.

The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy.

The role

London (Hybrid) – 2 days in the office – Competitive Salary + Benefits

You’ll make a real difference for our customers and your team from day one. We believe the fastest way to grow is by doing, so we give you the ownership to run with things and see real-time results.

• Owns the data modelling strategy, sets standards for data modelling, transformations, and governance.
• Leads the design and implementation of new features, such as the creation of a new star schema and other best practices to optimise data usability.
• Sets best practices and standards on how we use SQL & dbt / Python / Pyspark and/or other languages to solve business problems.
• Becomes an expert in the business subject area the team are working on, holding expertise on both the business requirements as well as the technical implementation.
• Delivers high quality code, provides technical mentorship and ensures the team is building scalable, maintainable data models.
• Co-owns the backlog with the Engineering Manager and helps to break down technical requirements.

What we’re looking for

We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day.

• Extensive experience in SQL / Python / Pyspark and/or other languages relevant to data processing
• Extensive experience in dbt and ideally Airflow (or other orchestration tools)
• Extensive experience in Entity-Relationship modelling and Dimensional modelling
• Experience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure)
• Familiarity with Tableau
• Excellent communication and problem solving skills and the ability to translate business requirements into technical requirements
• Able to 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

Experience we’d love to see: Working background in Fintech/Financial Services would be highly preferred, but not essential.

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.

Why join us

We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026. As a flexible-first employer, we use a best of both approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us.

Our Circler Proposition focuses on five areas:

• Flexibility: We provide a benefit allowance you can tailor to your own life and family.
• Health: This includes private medical and dental, health assessments, and access to a digital GP.
• Wealth: We offer life assurance, share schemes, and financial coaching.
• Development: You get a dedicated annual learning allowance to help you level up.
• Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.

We also have award-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.

Ready to join a mission that matters? We’d love to chat!