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

Apply Now

Senior/Lead Data Engineer

Xpertise Recruitment
Newcastle upon Tyne
10 months ago
Applications closed

Related Jobs

View all jobs

Lead/Senior Data Scientist

Lead/Senior Data Scientist

Senior Data Scientist

Data Scientist

Data Scientist - Schroders

Lead R Data Scientist - Sustainability

Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Newcastle. As part of the company's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts.


Key details:


Salary:£50,000-95,000 (Mid, Seniors and Leads needed)

I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35)

Benefits:Private healthcare + 10% pension + free lunches + international travel opportunities

Location:Newcastle; can be remote-based, hybrid working or office-based

Future outlook:Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of AI/ML.


Key experience desired / what you will learn:


  • Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS or Azure services.
  • Data Platforms: Databricks, Redshift, Snowflake or BigQuery
  • SQL or Python development. Experience with Java, Scala, C#, and JavaScript would be advantageous
  • Assist data governance and security best practices to ensure compliance and data integrity.
  • Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
  • Data and Cloud Engineering tools like Apache Spark, Airflow, Kafka, Kinesis, Athena, Glue, Data Factory, SSIS, dbt and plenty more
  • CI/CD pipeline automation utilising GitLab, Jenkins, Azure DevOps, GitHub Actions, and CircleCI
  • DevOps tools: Docker, Kubernetes, Terraform, Ansible
  • Leadership capabilities: mentorship, management



Role overview:


If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey.



Interested?Please apply with your CV and/or message Billy Hall for further details.






Xpertise acts as an employment agency.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.