Senior Data Engineer - (ML and AI Platform)

Datatech
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (ML and AI Platform)
Location | London with hybrid working Monday to Wednesday in the office
Salary | £70,000 to £85,000 depending on experience
Reference | J13026

An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team. The role focuses on designing and building clear, reliable data solutions using Python and SQL within a modern data and AI platform.

You will work in a collaborative and supportive environment where data engineers, product teams, and data scientists partner closely to deliver robust, real world solutions that are used and trusted across the business.

Why join
·A supportive and inclusive culture where different perspectives are welcomed and people are encouraged to contribute and be heard
·Clear progression with space to grow your skills and confidence at a sustainable pace
·A working environment where collaboration, learning, and thoughtful engineering are genuinely prioritised
·A team that values good communication, shared ownership, and balance

What you will be doing
·Contributing to the design and delivery of cloud based data and machine learning pipelines
·Writing clear, maintainable Python, PySpark, and SQL to transform and prepare data
·Helping shape scalable data models that support analytics, machine learning, and product development
·Working closely with Product, Engineering, and Data Science colleagues to deliver high quality production outcomes
·Playing an active role in improving data reliability, clarity, and long term platform health

What we are looking for
·Experience using Python for data transformation, ideally with exposure to PySpark
·Confidence working with SQL and production data models, with an emphasis on clarity and reliability
·Experience working with at least one modern cloud data platform such as GCP, AWS, Azure, Snowflake, or Databricks
·Experience contributing to data pipelines that run reliably in live production environments
·A collaborative mindset with clear, thoughtful communication and a willingness to learn from others

You may not meet every requirement listed. What matters most for this role is experience using Python and SQL to transform large, real world datasets from multiple sources in a production environment. If this feels like a good next step and the work interests you, we would love to hear from you.

Right to work in the UK is required. Sponsorship is not available now or in the future.

Apply to learn more and explore whether this could be the right move for you.

If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme.
Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) <(url removed)

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.