Senior Data Engineer

Digital Waffle
London
2 months 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

A well-established professional services business is hiring a Data Engineer to play a key role in building and optimising its modern cloud data environment. This is a technical, hands-on role with team management responsibilities – ideal for someone who wants to stay close to the tech while guiding and developing a growing team.


Role: Data Engineer

Salary: £70,000 - £85,000

Location: Guildford – 5 days per week onsite


What you’ll be doing:


  • Design, build, and optimise scalable data pipelines and architecture
  • Work hands-on with SQL, PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions
  • Translate business needs into technical requirements and data-driven solutions
  • Ensure best practice in data governance, quality, and security
  • Manage and mentor engineers, helping them grow while contributing directly to delivery
  • Support the company’s AI roadmap by developing and scaling the data environment


What you’ll need:


  • Proven experience as a Data Engineer or Senior Data Engineer with some team leadership responsibilities
  • Strong technical expertise with PySpark, Databricks, Azure, and Data Lake
  • Deep understanding of data architecture and ETL processes in cloud environments
  • The ability to balance coding and technical delivery with people management
  • Excellent problem-solving skills and the energy to thrive in a fast-paced environment


What’s on offer:


  • Salary £70,000 - £85,000
  • Onsite role – Guildford HQ, 5 days per week
  • The chance to work on cutting-edge data projects within a modern data stack
  • Play a central role in building the foundations that will fuel the company’s AI roadmap
  • A brilliant opportunity for a highly energetic, ambitious technical professional who is passionate about data and ready to step up into a role combining delivery with people management

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.