Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineering Consultant

London
6 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer (data science & software)

Data Scientist Specialist

Data Scientist - Advanced Analytics

Data Scientist - 3 month FTC

Senior Data Scientist

Data Science Consultant

Data Engineering Consultant

I am working with a Microsoft Partnered consultancy who are looking for a Data Engineering to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this role you will utilise your experience with the latest Azure technologies to ensure the timely delivery of data solutions to clients. You will work on a number of projects that will enable you to continually develop your existing skill set. You will be joining a people centred business, who invest heavily in its team and will be given the opportunity to explore other areas of technologies that may be of interest to you, including data science, machine learning and AI.

My client also support their clients with the implementation of D365, so you will have the opportunity to aid organisations in the integration and optimisation of data within a Dynamics 365 CRM environment. This is a dynamic role where you will work with a modern cloud focused tech stack and continue with your development

As part of this role, you will be responsible for some of the following areas.

Create robust ETL solutions using Microsoft SQL Server and Azure tech stack
The migration of client data solutions from on-premise to Azure
Be responsible for the design and implementation of data lake solutions
Integrate D365 CRM into client data platforms and aid with the creation of analytics solutions to gain meaningful insight from data
Support clients throughout the project life cycle To be successful in the role you will have.

Experience working with the Azure tech stack including Azure Data Factory, Synapse and Azure Data Lake.
Experience designing and implementing ETL solutions.
Coding experience with languages such as SQL and Python.
Exposure to D365
Excellent communication skillsThis is a home-based role, where you may be required to travel to client sites on an ad-hoc basis and travel to company social events. Some of the benefits included are listed below.

Starting salary of up to £60,000
23 days annual leave allowance plus bank holidays (rising to 28 days with service)
Company pension scheme
Private health/medical care
Various retail discounts and more!This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at (url removed) or call me on (phone number 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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.