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

Nominate & Attend

Data Engineer

PharmaLex
Nottingham
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

£45,000- £50,000


Pharmalex is looking for a Data Engineer to join their growing team. This will be a remote based role but there is a requirement to travel to Lutterworth one day of the month.


Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into a central Microsoft Azure repository and hosted MS SQL database. Collaborate with Data Analysts and Scientists to optimise data quality, reliability, security, and automation.


Skills & Responsibilities:

  • Core responsibility will be using the NHS Secure Data Environment which utilises databricks, to design and extract regular datasets
  • Configure and troubleshoot Microsoft Azure, manage data ingestion using LogicApps and Data Factory
  • Develop ETL scripts using MS SQL, Python, handle web scraping, APIs, and relational databases
  • Familiarity with Power BI (you will not have to use Power BI, but being aware of how to collaborate with people that do is important)
  • Work closely with data analysts and scientists, contribute to data models and testing of outputs


EDUCATIONAL QUALIFICATIONS:

Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience.


WORK EXPERIENCE:

Experience of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.


SKILLS & KNOWLEDGE:

Behavioral Skills:

• Assertiveness

• Creativity & Innovation

• Critical Thinking

• Impact and Influencing

• Multitasking

• Prioritization and Organization


Technical Skills:

• Data Management

• Data Modelling

• Data Quality Assurance

• Programming languages like SQL, R, Python

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.