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Experis
Senior Data Engineer
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
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
Tools
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.
- 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.
- 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.
- 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.