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# Data Engineer

- **Company:** Client Server
- **Location:** Newcastle upon Tyne, UK (Remote available)
- **Salary:** £90,000.0 - £120,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Data Governance, DataOps, SQL Databases, Apache Spark, Information Technology, Databricks
- **Published:** July 30, 2026
- **Apply:** https://www.client-server.com//job/data-engineer-sql-databricks-fintech-3/apply

## About the Role

* You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical / scientific discipline, backed by minimum A A B grades at A-level
 * You have commercial Data Engineering experience and a strong understanding of modern data engineering best practices
 * You have experience with Databricks, ideally also Azure
 * You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas
 * You're excited to join a start-up in a role that you can shape and influence
 * You're collaborative with excellent communication skills

## Description

As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring that data capabilities align with business objectives. You'll contribute to the ongoing development and operation of the firm's data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions.

A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You will be responsible for building and maintaining data pipelines from a variety of external providers, ensuring the seamless integration of high-quality data into the firm's core platform.

Additionally, you'll curate and manage both internal and external datasets to support the front office's analytical and operational requirements. This will include designing and implementing pragmatic, best-practice data models and architectures that are fit for purpose in a fast-paced environment.

You'll also play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency, and reliability of data across the organisation.


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