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

Apply Now

Senior Azure Data Engineer

Harnham
Manchester
3 weeks 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

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Job Overview

A large retail organisation - market leaders in their industry – are looking for a Senior Data Engineer to enter their team. You will be working in a small team of 3 (including you!) and they are looking to build up the team over the next year.

The ideal candidate will have experience with managing data warehouses from start to finish and liaise with IT teams regularly. The role will involve stakeholder management, working with diverse roles, such as software engineers, sales and marketing professionals and more. Therefore, communicating your projects needs and understanding others is an essential part of this role.

Role and Responsibilities:
  • You will design, build and upgrade data pipelines
  • You will work in CI/CD and with Software/ DevOps teams in the organisation
  • You will have expertise in azure – from collecting, to transforming to loading!
Skills and Experience:
  • Essential to have experience with: SQL, Data warehouse management
  • Desirable to have experience with: Bachelors in STEM subject – ideally computer science or engineering, CI/CD methods, Python, Power BI
Interview Process:
  • There are 3 stages to the process:
  • Introductory conversation with the Head of Business Insights
  • In person interview, focussing on techstacks
  • Sign off conversation!
Job Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering Services and Retail
  • Location: Manchester, Lancashire
  • Hybrid working: go into office 1x day a week

Harnham is an equal opportunities employer and welcomes applications from all qualified candidates.


#J-18808-Ljbffr

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

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.

Jobs

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.

Jobs

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.

🍪 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.