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

Apply Now

Perm - Azure Data Engineers

Reed
Huddersfield
11 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - Permanent

Finance Data Analyst

Data Entry Specialist/Data Analyst

Data Analyst

Lead Data Engineer

Principle Data Engineer

Azure Data Engineer Annual Salary: £48,341.06 Location: Huddersfield, HD1 Job Type: Permanent My client are looking for an innovative and creative Azure Data Engineer to join their team. The successful candidate will be instrumental in designing, developing, and delivering data products and services that support business intelligence, analytics, and insights across the Council’s services. Day to Day of the Role: Contribute to the success of the Data and Insight Service by supporting services and decision-makers with valuable insights. Collaborate within and between council services and partner organisations to improve data capability and foster a culture of continuous improvement. Lead the design, development, and implementation of automated data flows and database management. Write ETL and ELT scripts and code to ensure optimal performance. Build accessible data models for analysis and maintain metadata repositories. Implement testing regimes to monitor data engineering work and resolve problems promptly. Document source-to-target mappings and act as a mentor to SQL Developers. Deputise for the Data Engineering and Development Lead as required. Required Skills & Qualifications: Undergraduate degree with a strong data component (e.g., Computer Science, Engineering, Statistics) or equivalent experience. Proven experience in designing, building, and testing complex or large-scale data products and services. Advanced skills in SQL development and experience with SQL Server Integration Services (SSIS). Experience with cloud-based technology and services within a Microsoft Azure environment. Proficiency in programming languages such as Python, C#, or Scala. Knowledge of data modelling concepts and principles, and experience in producing data models. Experience in implementing data standards, data quality rules, and CI/CD practices. Ability to work with both technical and non-technical stakeholders to gather and analyse requirements. Experience in developing automated, repeatable, and scalable data flows. Willingness to work in an agile development environment. Benefits: Competitive salary with annual pay reviews. Opportunities for personal and professional development. Agile and innovative working environment. Potential for line-management responsibilities. Please apply today for a chance of an immediate interview

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.