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

Apply Now

MI Developer

Glasgow
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Collections Analytics

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Collections Analytics

Data Scientist

This position is instrumental in shaping the strategic operating model of our clients data department. The ideal candidate will possess strong technical expertise and oversee the entire design and implementation of the enterprise-wide Data Warehouse solution. Responsibilities include gathering and analysing requirements, designing and developing ETL processes, building the Data Warehouse, and creating and deploying Power BI dashboards and reports.

Duties:

• Manage and deliver ETL development using SSIS, in accordance with relevant processes and quality requirements
• Develop, implement and optimise SQL queries, procedures, functions, views, triggers
• Test, deploy and maintain SQL projects and fixes in line with best practice
• Produce reports and dashboards using Power BI, reviewing and validating data to ensure reports and dashboards are accurate
• Support business users in adopting and engaging with data department outputs
• Liaise with client contacts to gather and implement MI requirements as part of new business implementations

Experience:

• Minimum 5 years’ experience as SQL Developer or similar role
• Excellent understanding of ETL concepts, Microsoft SQL Server and T-SQL programming
• Experience in developing visualisations using Power BI
• Demonstrable understanding of the concepts for designing and implementing data warehouse solutions
• Understanding of Kimball Methodologies
• Critical thinker with problem-solving skills
• Experience with cloud technologies and data science approaches would be advantageous

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.