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

Apply Now

Data Engineer

PharmaLex
Manchester
7 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

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 Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.