Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Azure Data Engineer

Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer (Databricks)

Senior Data Engineer - Azure

I'm looking for an experienced Data Engineer to join a well-established organisation in Newcastle (hybrid-working), who truly recognise the value of leveraging their data to better understand their customers and to drive business growth.

In this role you'll join a team of Data Engineers, responsible for the ongoing development of their cutting-edge Azure Data Platform - working across the end-to-end data lifecycle from architecting data ingestion solutions into their Data Lake, designing robust ETL solutions to integrate various data sources, designing data models for analytics capabilities, through to deploying Logic Apps and Function apps for process automation.

As a Senior in the team, you will guide and mentor more Junior colleagues, and will advocate for best-practice and process improvement wherever possible.

This is a brilliant opportunity for an experienced Data Engineering professional to join an organisation who are truly investing in their data - with a real appetite to leverage the latest ML and AI capabilities, there couldn't be better time to join the team.

Requirements

Prior experience leading and managing Data Engineering teams
Strong SQL and data modelling experience
Experience designing ETL processes
Strong understanding of Data Warehousing principles
Experience with some Azure technologies such as: Azure Databricks, Azure Data Lake, Azure Data Factory, Azure Logic Apps, Azure Function Apps
Excellent communication and requirements gathering skillsBenefits

Salary up to £65,000 depending on experience
Bonus scheme
Profit sharing scheme
25 days annual leave plus bank holidays
Private medical insurance
Contributory pension scheme
And more!

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.