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

Apply Now

NHS - Data Engineer Band 6

Gloucester
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Engineer, Data Engineering

Pharmacy Data Analyst

Senior Software and Data Engineer

Senior Software and Data Engineer

Exciting Opportunity: Permanent Band 6 NHS Data Engineer – £37,338 to £44,962 per year

PLEASE NOTE THIS ROLE WILL REQUIRE ONE DAY A WEEK ONLY ON SITE IN GLOUCESTER CITY CENTRE, THE REMAINDER OF THE ROLE CAN BE WORKED REMOTELY /HOME.

Are you a data-driven professional with a passion for leveraging technology to improve healthcare services? Join our forward-thinking Business Intelligence (BI) team as a Band 6 Data Engineer, where you’ll play a crucial role in shaping the data landscape of the NHS in Gloucestershire. This is a fantastic opportunity to work in a dynamic environment, collaborating with experts across digital teams, data service providers, and NHS organisations.

Why Join Us?

  • Make a Meaningful Impact: Your work will directly contribute to enhancing healthcare delivery, improving patient outcomes, and streamlining data-driven decision-making.

  • Cutting-Edge Technology: Work with cloud platforms like AWS and Microsoft, utilizing SQL, SSIS, Power BI, and other advanced tools to develop high-quality data solutions.

  • Collaborative & Supportive Team: Be part of a skilled team of professionals within a larger Business Intelligence department, where knowledge sharing and professional growth are valued.

  • Career Growth & Development: Benefit from continued professional development in a specialist area, gaining experience with emerging technologies like Python, R, and cloud-based computing.

    Key Responsibilities

  • Design & Maintain Data Pipelines: Develop efficient data ingestion solutions and integrate complex datasets to support business intelligence and reporting needs.

  • Enhance NHS Data Architecture: Support data quality improvements, maintain data warehouses, and ensure compliance with NHS data security and governance standards.

  • Automate & Streamline Reporting: Develop self-service reporting solutions to empower NHS staff with actionable insights.

  • Problem-Solving & Innovation: Collaborate with NHS partners and third-party data providers to troubleshoot, refine, and enhance data systems.

  • Data Security & Governance: Ensure adherence to GDPR, Caldicott principles, and Data Protection guidelines while managing data flows and improving data integrity.

    What experience you will need?

  • 1 years + experience working in a data / information analyst engineer role Experience in SQL (SSIS) and Power BI.

  • Desirable to have a data / compputer sceince degreee but not essential

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.

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.

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.