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

Apply Now

Data Engineer

KDR Talent Solutions
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DataOps

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

AI Engineer (data science & software)

GCP Data Engineer | £60,000 basic + package | Remote-first | London


About the Client


This is a chance to join a global business on the ground floor of a brand-new R&D function focused on the cutting edge of Synthetic Data Generation. Be one of the first on board and help shape the future of this exciting initiative!


About the Role


We're looking for a skilled and enthusiastic GCP Data Engineer to join this pioneering team. Initially, you'll focus on enabling data access for Data Scientists and building a local BigQuery data warehouse. As the function evolves, you'll move into the MLOps space, working with tools like VertexAI. This role is perfect for someone eager to learn, grow, and contribute to a truly innovative project.


Responsibilities:


  • Provide data access and support to the Data Science team.
  • Design and build a BigQuery data warehouse.
  • Develop and maintain data pipelines using Airflow.
  • Contribute to the development of MLOps processes and tools.
  • Work with VertexAI and other GCP technologies.
  • Utilize Terraform to manage and automate infrastructure.


What you need:


  • Proven experience with GCP, particularly BigQuery.
  • Strong data engineering skills, including data warehousing and ETL.
  • Experience with data pipeline development, ideally with Airflow.
  • Experience with infrastructure-as-code, using tools like Terraform.
  • An interest in MLOps and Synthetic Data Generation.
  • A desire to learn and grow with an innovative team.


To Apply:


If you're a motivated GCP Data Engineer who's ready to embark on an exciting journey, apply now!

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.