Data Engineer

Data Engineer - Databricks - AWS - London (Hybrid) - Up to £65,000

This is an opportunity to join a fast-growing analytics and technology business operating across the sports, media and entertainment space. The company is scaling rapidly following recent growth, with data at the centre of how it drives performance, commercial outcomes and strategic decision-making. You'd be joining a business where data matters, projects are high-profile and your work has visible impact, across well-known organisations and brands. It's a collaborative, ambitious environment that appeals to engineers who want ownership, variety and progression as the company continues to grow.

You will work with

Modern cloud-based data platforms with a strong focus on Databricks and AWS

Cross-functional teams including analysts, data scientists, and business stakeholders

Analytical workloads supporting performance, commercial, and strategic use cases

Scalable, production-grade data pipelines and cloud infrastructure

Responsibilities

Build and maintain reliable, scalable data pipelines

Manage and optimise cloud storage and data warehousing

Ensure data quality, security, lineage, and maintainability

Design and implement analytical data models to support reporting and advanced analytics

Balance batch and streaming ingestion approaches based on use case requirements

Contribute to engineering best practices including testing, CI/CD and documentation

Benefits

Salary up to £65,000

Hybrid working (2 days per week in London)

Join a scaling, high-growth business with strong technical investment

Work on modern data platforms with real-world impact

Collaborative culture with scope to learn, influence, and progress

Key Experience

Strong SQL and Python, including query optimisation and window functions

Hands-on experience with Databricks and Spark

Strong understanding of data modelling (3NF, dimensional modelling, star/snowflake schemas, data vault concepts)

Experience designing and operating ELT/ETL pipelines

Familiarity with data quality frameworks, SLA monitoring and lineage tracking

Experience with Snowflake and dbt

Proficiency with AWS

Experience with version control, CI/CD and testing

Comfortable working in Agile environments (Jira, Confluence)

Proactive, collaborative mindset with a willingness to learn

Interest in sport, media, or entertainment is a strong plus

Apply now!