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

Apply Now

Data Engineer - ETL - SQL - Power BI - Azure Cloud

Cannock
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - ETL (Extract, Transform, Load) - SQL - PowerBI - Data Modelling - Azure Cloud (On Prem) - Microsoft Technology Stack

ETL, SQL, PowerBI, Data Modelling, Azure Cloud (On Prem), SQL, SSRS, SSIS, SSAS, MS Technology Stack, DAX, Data Marts & Data Models, T-SQL Data Warehouse Design and Azure Databricks

Cannock, Walsall, Lichfield, Stafford, Telford, West Midlands, Shropshire, Staffordshire

£40,000pa + Pension, Health Care & Company Pay-Boost Benefits

Hybrid Role - Must have Driver's License and be suitable for SC and DBS Vetting

US owned, Global Logistics and Materials Handling organisation with an annual turnover of over £400 million, have a requirement for a professional and energetic Data Engineer who can offer expertise and assistance toward the transition to an on-prem Azure Cloud Infrastructure.

Currently working on a legacy platform the client requires a motivated and proactive person to add value to the current Data Team, however, there are multiple opportunities to learn new skills as well as be given training from the Technical Team Leader, therefore your technical portfolio will increase substantially within this role.

Experience Necessary:

ETL, Extract, Transform, Load
Developing ETL processes or using ETL tools
SQL, PowerBI, Data Modelling
Azure Cloud (On Prem)
SQL, SSRS, SSIS, SSAS, MS Technology Stack
DAX, Data Marts & Data Models
T-SQL Data Warehouse Design and Azure Databricks
Solid BI Techniques & Practices using the MS Technology Stack
Experience Designing & Developing Data Marts & Data Models to support efficient / self-service reporting
Data Warehouse Design (Dimensional Modelling)Highly Desirable:

Azure Databricks
ADF
Data Lake
Azure DevOpsCALL EXPERIS IT TODAY ON (phone number removed)

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 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.

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.