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

Apply Now

Azure Data Engineer

Pioneer Search
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior DataOps Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Data Engineer -SQL, Python, Azure, ADF, Synapse, DevOps, Databricks, Spark, Snowflake

Highly technical Data Engineer required for a cloud native, Lloyd's market insurance organisation. This company is going through a period of hyper-growth and are extremely ahead of the industry curve in their technology offering. With deep experience in Azure platform architecture, SQL and Python, the successful Data Engineer will be teaming up with Data Scientists to build ETL / ELT pipelines for their pricing and risk selection tools in a greenfield environment. Their stamp capacity has doubled in two years and are well-set to reach £1bn in the near future.

As the company are incredibly forward-thinking in their use of Data Science, you will need to be well-versed in the challenges faced by the team where their 300 source databases are ever-increasing. Within the first month, you will have a full DevOps board to action and deliver. You will be an excellent communicator and have the ability to contribute and take ownership of your work.

Responsibilities:

  • Solve complex business challenges by building data solutions and applications
  • Collaborate closely with Data Scientists and wider team to build robust and scalable data pipelines
  • Work exclusively in Azure in a data and technology-focused environment
  • Use DevOps best practice for scalability and re-usability of deployment
  • Forge strong professional relationships across the business

Requirements:

  • Extensive experience in SQL, Python and Azure
  • Proven experience building ETL / ELT data pipelines
  • Knowledge of DevOps and project delivery methodologies Waterfall and Agile
  • Lloyd's market experience would be a significant advantage
  • Demonstrable experience in cloud data services - Azure, Databricks, Snowflake

Data Engineer -SQL, Python, Azure, ADF, Synapse, DevOps, Databricks, Spark, Snowflake

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.