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: ETL, Spark & Data Lake (Hybrid)

Senior Azure Data Engineer – Databricks, AI & Finance

Senior Azure Data Engineer - Databricks & AI

Senior Azure & Databricks Data Engineer

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.