Data Engineering Director

JSS Search
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Data Analyst - Associate Director - Belfast

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

Data Engineering Specialist

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

Data Architecture & Engineering Director

Up to £95,000 + Benefits

London based - Hybrid Model


We’re looking for an experienced Data Architecture & Engineering Director to join a fast-growing digital consulting team, helping ambitious organisations unlock value through data, analytics, and cloud technologies.


The opportunity

You’ll play a pivotal role in leading data architecture and engineering engagements, working closely with clients to design and deliver scalable, cloud-based data solutions that support analytics, AI, and business insight. Alongside delivery, you’ll help build a strong pipeline of work and coach a growing team of data professionals.


This is a senior leadership role for someone who combines technical depth with commercial acumen, strategic thinking, and a collaborative leadership style.


What you’ll be doing

  • Leading the design and delivery of modern, scalable data architectures and engineering solutions
  • Shaping and delivering cloud-based data platforms to support analytics, reporting, and AI use cases
  • Acting as a trusted advisor to senior client stakeholders, translating complex data concepts into clear business value
  • Building and maintaining a strong pipeline of Data, Analytics, and AI opportunities
  • Coaching, mentoring, and developing data engineers and architects within a collaborative team environment
  • Staying current with emerging data and cloud technologies and applying them pragmatically to client challenges


What you’ll bring

  • Significant experience in data architecture and engineering, including building modern data platforms
  • Strong experience with Microsoft Azure and related data and analytics services
  • Hands-on expertise with platforms such as Fabric and Databricks
  • Strong programming capability in Python and SQL
  • A proven track record of winning work and growing client relationships across the UK
  • Experience leading teams and projects, with excellent coaching and mentoring skills

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.