DV Cleared Data Engineers Needed – Consultancy – AWS

Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer DV Cleared

Data Engineer

DV Cleared Data Engineers Needed – Consultancy – AWS

I’m looking for DV Cleared Data Engineers at all career levels to join a successful, multinational Consultancy across the UK in either their Bristol, Manchester or Belfast offices working on high profile client projects.

As a Data Engineer, you'll design and implement cutting-edge data solutions that transform the clients' businesses. You'll work with cross-functional teams to create scalable, efficient architectures that turn complex data challenges into opportunities for innovation.

Your role

  • Design end-to-end data architectures that align with business objectives

  • Create cloud-native solutions leveraging PaaS, serverless, and container technologies

  • Build robust data pipelines for both batch and streaming processes

  • Collaborate with clients to understand their data landscape and requirements

    To be considered you will be able to demonstrate skills and experience in many of the following:

  • Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL

  • Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB)

  • Experience with data processing across structured and unstructured sources

  • Strong scripting abilities and API integration skills

  • Knowledge of data visualization and reporting best practices

    Desirable but not essential:

  • Experience with data mining and machine learning

  • Natural language processing expertise

  • Multi-cloud platform experience

    They work within an Agile environment with Scrum practices, cross-functional collaborative teams and need someone who can work from the office 2 days a week.

    Salary: £50,000 - £70,000 + 25 days holiday (option to buy 5 more) + pension + Performance Bonus + share options

    Location: Hybrid working – 2 days a week in the office (Bristol, Manchester or Belfast).

    We are looking for Data Engineers who are DV Cleared

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.