Azure Data Factory Jobs in Bradford

2 of 2 Azure Data Factory Jobs in Bradford

Data Engineering Manager

Bradford, England, United Kingdom
JR United Kingdom
Social network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will … come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need … the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure More ❯
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Data Engineer

Bradford, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
South Manchester – Remote (On-site just once a month MAX) Up to £60,000 + Bonus + Benefits Are you a skilled Data Engineer ready to shape the future of data in a rapidly scaling tech business? This is a great opportunity to join a leading SaaS provider generating close to £1 billion in annual revenue … platform supports millions of users across sectors including the NHS, logistics, public safety, and retail. With their tech function now fully in-house, they’re investing heavily in data—and you’ll be at the forefront of that transformation. You’ll work directly with the CTO and Head of Engineering, helping define the company’s data architecture, pipelines, and reporting solutions from the ground up. What You’ll Be Doing: Designing, building, and optimising scalable data pipelines, data warehouse structures, and integration processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure More ❯
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