National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer / Architect – Active SC, NPPV3, Azure Data Factory

hays-gcj-v4-pd-online
London
1 week ago
Create job alert

Data Engineer / Architect – Active SC, NPPV3, Azure Data FactoryUp to £640 per day (Outside IR35)Primarily Remote3 month initial contractI am currently working with a leading consultancy who are looking for an NPPV3 and SC cleared Data Engineer / Architect to work on a large data migration project, utilising Azure Data Factory and Synapse, for a widely known end client. Key Requirements:

Proven experience as Data Engineer / Architect within large Enterprise Scale organisation Must hold Active NPPV3 clearance and Active SC clearance Demonstrable experience using Azure Data Factory (ETL) and Azure Synapse Strong working knowledge of HLD, figuring out requirements and developing for implementation Excellentmunication skills

Nice to have:Exposure to Microsoft FabricExperience in leading large data migration projects (ETL)Immediate availability
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

#4693747 - Lauren Duke

Related Jobs

View all jobs

Data Engineer - Active SC, NPPV3, Azure Data Factory

Data Engineer

DV Cleared - Data Engineer - ELK & NiFi

Senior Data Architect

Senior Data Engineer (Databricks, Financial Services)

Data Engineer

National AI Awards 2025

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.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.