Data Engineer

FRESH.
Liverpool
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer | HealthTech | Fully Remote (UK-Based) 🚀


Are you passionate about building data systems that genuinely make a difference? Join a fast-growing HealthTech company that's transforming how patient experience is understood and acted upon.


FRESH has partnered with a cutting-edge, Seed Funded AI-powered analytics platform that helps healthcare providers across the UK and US improve patient outcomes in real time. As they continue scaling, they’re looking for an experiencedData Engineerto help power their data infrastructure.


🔍 What You'll Be Doing:

  • Designing and optimising robust data pipelines using AWS services (Glue, Redshift, S3)
  • Developing scalable systems following best practices in data modelling and storage
  • Writing clean, efficient, maintainable Python code (TypeScript is a plus!)
  • Automating infrastructure deployments with AWS CDK and/or CloudFormation
  • DBT experience
  • Collaborating with cross-functional teams in an Agile/Scrum environment using tools like Jira


✅ We’re Looking for Someone Who:

  • Has hands-on experience with AWS data services and modern data architecture
  • Is confident working with PostgreSQL, Redshift, and large-scale data workflows
  • Understands data modelling principles and cloud-based system design
  • Communicates clearly and enjoys working as part of a collaborative team


🎁 What’s in It for You:

  • A dynamic and supportive work culture that values innovation and growth
  • Monthly wellbeing allowance
  • Opportunities for career development in a mission-driven organisation


If you're excited about building systems that directly contribute to improving lives in healthcare, this could be the perfect next step in your career.

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.