Lead Analytics Engineer – Data Platform & AI

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

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.