Head of Data Engineering

Intec Select Ltd
West Midlands
3 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI)

Head of Data Engineering & Global Support Operations

Head of Data Engineering — Real-Time Cloud Platform Leader

Head of Data Engineering

Our long-standing financial services client is seeking a Head of Data Engineering to lead a high-performing team responsible for delivering a complex data transformation.


Looking for a true greenfield challenge? This is your chance to shape a transformation from the ground up, build cutting-edge data solutions, and lead a high-performing team that’s driving change across the business.


To succeed in this role, you’ll bring hands‑on experience owning and delivering Azure‑based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL / ELT) and introducing event‑driven architectures (Kafka) to support scalable, real‑time solutions.


Our client offers a competitive salary of £120,000–£140,000, plus 40% bonus, 40% LTIP, £7.5k car allowance, and a comprehensive benefits package. The role is hybrid, based in Wolverhampton or Chatham.


Key Responsibilities

Lead, develop, and inspire a high‑performing Data Engineering team, setting the vision, priorities, and best practices.


Oversee the design, build, and optimisation of data ingestion, processing, and storage pipelines.


Embed strong governance, documentation, and lifecycle management standards across the function.


Partner with IT, architecture, and business stakeholders to ensure secure, scalable cloud configurations.


Champion innovation, exploring new…


#J-18808-Ljbffr

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.