Data Engineer

Tenth Revolution Group; Oxford; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Tenth Revolution Group is recruiting a Data Engineer to join its Data & Innovation team in a hybrid role with two days in the Oxfordshire HQ. You will design, build and maintain scalable data pipelines using Databricks, and develop ETL processes that prepare data for reporting and analytics.

The role requires strong Databricks, SQL and Python/PySpark expertise, plus experience with relational databases and data modelling.

Qualifications

• Proven experience delivering data engineering solutions.
• Hands-on Databricks capability for building a modern data platform.
• Strong SQL, Python and data modelling expertise.
• ETL development and data integration across multiple sources.
• Experience with relational databases and data warehouses.

Responsibilities

• Design, develop and maintain robust data pipelines using Databricks.
• Build and optimise ETL processes for reporting and analytics.
• Create high-quality SQL and Python transformations for scale.
• Develop queries, stored procedures and database objects.
• Contribute to data warehouses, models and platform evolution.
• Improve data quality and reliability, promote best practices.
• Participate in CI/CD, Git and automation improvements.

Skills

Data Engineering

SQL

Python/PySpark

ETL & Data Integration

Relational Databases

Data Modelling

Tools

Databricks

PySpark

Job description

We are partnering with a growing organisation that is continuing to invest in its data platform, data engineering capabilities and wider technology estate.

As part of this continued investment, the business is looking to appoint a Data Engineer to join its Data & Innovation team. This is an excellent opportunity for an experienced Data Engineer to combine hands‑on technical delivery with SQL database expertise, helping to develop and mature a modern Microsoft data platform.

Working closely with stakeholders across technology and the wider business, you will be responsible for developing and maintaining data pipelines, integrating new data sources, optimising data transformation processes and supporting the ongoing performance and reliability of the SQL database estate.

This role would suit a Data Engineer with strong Databricks, SQL and Python/PySpark expertise who enjoys solving technical challenges, improving data platforms and working collaboratively with both technical and non-technical stakeholders.

Key Responsibilities

• Design, develop and maintain robust, scalable data pipelines using Databricks, helping to build and shape the wider data platform.
• Build and optimise ETL processes that bring together data from a range of sources and make it ready for reporting, analytics and insight.
• Create high-quality SQL and Python transformations that are efficient, reliable and built to scale.
• Develop and optimise queries, stored procedures and database objects
• Contribute to the design and ongoing development of data warehouses, data models and the wider data platform.
• Identify opportunities to improve data quality, consistency and reliability while promoting strong database development practices.
• Contribute to CI/CD, Git and source control processes, helping to improve automation, deployment and engineering standards.

Skills & Experience

• Proven experience working in a Data Engineering role
• Hands on Databricks experience, with the ability to develop and support data engineering workloads.
• Advanced SQL skills, with confident use of joins, CTEs, window functions and data modelling techniques.
• Solid ETL and data integration experience, with an understanding of how to bring together data from multiple sources effectively.
• Strong development skills in SQL and Python
• Experience working with relational databases and modern data architectures, ideally including the medallion architecture.

What's on Offer

• Salary of up to £60,000
• Hybrid working environment with 2 days in Oxfordshire HQ
• Opportunity to join a growing Data & Innovation function
• Hands‑on exposure to modern Microsoft data technologies including Databricks, SQL, Python and PySpark
• Opportunity to influence the development and maturity of the organisation's data platform
• Collaborative working environment with exposure to a broad range of data and technology projects