Tech Lead – Data Modelling & Analytics

Funding Circle Ltd.; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Barista coffee

subsidised Just Eat lunches

Annual learning allowance

Job summary

Funding Circle Ltd. in London invites a senior data engineering role focused on data modelling, governance, and scalable data architectures. You will lead design, implement features like star schemas, and set standards for data transformation and usage across the platform.

You will work with SQL, Python, Pyspark, dbt and orchestration tools, collaborating across business and engineering teams to translate requirements into robust data solutions. Hybrid work with a competitive salary and benefits.

Qualifications

• Extensive experience in SQL, Python, Pyspark and related data processing languages.
• Extensive experience in dbt and ideally Airflow (or other orchestration tools).
• Extensive experience in Entity-Relationship modelling and Dimensional modelling.

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, aligning business requirements with technical implementation.
• Delivers high quality code, provides technical mentorship and ensures scalable, maintainable data models.
• Co-owns the backlog with the Engineering Manager and helps break down technical requirements.

Skills

SQL

Python

Pyspark

dbt

Airflow

ER modelling

Dimensional modelling

Cloud data warehousing

Tableau

AI architecture

Mentorship

Tools

dbt

Airflow

Snowflake

Databricks

BigQuery

AWS

GCP

Azure

Tableau

Job description

Funding Circle Ltd. in London invites a senior data engineering role focused on data modelling, governance, and scalable data architectures. You will lead design, implement features like star schemas, and set standards for data transformation and usage across the platform.

You will work with SQL, Python, Pyspark, dbt and orchestration tools, collaborating across business and engineering teams to translate requirements into robust data solutions. Hybrid work with a competitive salary and benefits.