Overview
A well-established professional services business is hiring a Data Engineering Manager to play a key role in building and optimising its modern cloud data environment. This is a technical, hands-on role with team management responsibilities – ideal for someone who wants to stay close to the tech while guiding and developing a growing team.
What you’ll be doing
* Design, build, and optimise scalable data pipelines and architecture
* Work hands-on with PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions
* Translate business needs into technical requirements and data-driven solutions
* Ensure best practice in data governance, quality, and security
* Manage and mentor engineers, helping them grow while contributing directly to delivery
* Support the company’s AI roadmap by developing and scaling the data environment
What you’ll need
* Proven experience as a Data Engineer or Senior Data Engineer with some team leadership responsibilities
* Strong technical expertise with PySpark, Databricks, Azure, and Data Lake
* Deep understanding of data architecture and ETL processes in cloud environments
* The ability to balance coding and technical delivery with people management
* Excellent problem-solving skills and the energy to thrive in a fast-paced environment
What’s on offer
* The chance to work on cutting-edge data projects within a modern data stack
* Play a central role in building the foundations that will fuel the company’s AI roadmap
* A brilliant opportunity for a highly energetic, ambitious technical professional who is passionate about data and ready to step up into a role combining delivery with people management
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Consulting
Industries
* Software Development, IT System Custom Software Development, and IT Services and IT Consulting
#J-18808-Ljbffr