Senior Data Engineer

Tenth Revolution Group; Oxford; Hybrid; GBP 63,000 - 75,000; Full time

Job summary

A well-established financial services organisation is seeking a Senior Data Engineer in Oxford. The role involves designing data architecture, building ingestion pipelines, and mentoring a small team while adhering to best practices. The ideal candidate will have hands-on experience with Databricks and strong PySpark skills. Offering a salary up to £75,000, hybrid working model, and several benefits including 25 days holiday and private healthcare.

Benefits

25 days holiday plus bank holiday

Company pension scheme

Private healthcare

Exposure to cutting-edge Databricks projects

Qualifications

• Hands-on experience with Databricks including Unity Catalog.
• Strong PySpark/Spark SQL skills for large-scale transformations.
• Experience integrating with diverse data sources such as APIs and cloud storage.

Responsibilities

• Designing end-to-end data architecture aligned with modern best practices.
• Building and managing ingestion pipelines using Databricks.
• Leading technical discussions and producing professional documentation.

Skills

Databricks

PySpark/Spark SQL

Azure cloud data platform

Data ingestion pipelines

Tools

Databricks

CI/CD

Job description

Senior Data Engineer

Salary: Up to £75,000

I am working with a well-established financial services organisation that is undergoing a major transformation of its data and analytics capabilities. The data team plays a critical role in building scalable, cloud-first data solutions that provide actionable insights to support executive and operational decision-making. These insights underpin the organisation's growth strategy across both domestic and international markets.

As a Senior Data Engineer, you will take an active role in shaping solution delivery against business requirements while contributing to the wider technical architecture and strategy. This is a hands‑on position where you will spend most of your time developing robust data solutions while also mentoring a small team of Data Engineers to ensure adherence to best practices and governance standards.

Responsibilities

• Designing end-to-end data architecture aligned with modern best practices.
• Building and managing ingestion pipelines using Databricks and related tools.
• Developing PySpark/Spark SQL notebooks for complex transformations and cleansing.
• Applying governance, security, and CI/CD best practices across cloud environments.
• Leading technical discussions and producing professional documentation.

Qualifications

• Hands‑on experience with Databricks including Unity Catalog.
• Strong PySpark/Spark SQL skills for large‑scale transformations.
• Experience integrating with diverse data sources such as APIs, cloud storage and databases.
• Experience with the Azure cloud data platform.

Benefits

• Salary up to £75,000
• Hybrid working model – one day per week in Oxfordshire
• 25 days holiday plus bank holiday
• Company pension scheme
• Private healthcare
• Exposure to cutting‑edge Databricks projects and enterprise‑scale data platforms

This is just a brief overview of the role. For the full details, simply apply with your CV and we’ll be in touch to discuss it further