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

Apply Now

Azure Data Engineer

London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior DataOps Engineer

AI Engineer (data science & software)

Data Scientists

Data Scientists

Data Scientists

Data Scientists

£55,000 (+ bonus opportunity, up to 10%)
Full Time - Permanent
Hybrid Working - Location (Derby - London

The Client
The client has been at the heart of the UK rail network for three decades and owns around a quarter of the national passenger rail fleet.
They mobilise private finance to drive rail growth through tailored leasing solutions, industry leading innovations and essential network projects that deliver a safe, efficient and sustainable railway.
Their mission is to provide high-quality, digitally enabled rolling stock solutions that help deliver a safe, efficient and sustainable railway. We take an industry-leading approach, driven by innovative thinking and future planning.
About the team
The successful candidate will be joining the Fleet function, a small multi-disciplinary team that supports corporate and project governance, risk management and audits of Train Operating Companies, suppliers and internal processes. The team is part of the Operations Directorate reporting to the Chief Operating Officer
Responsibilities
This role will support the delivery and development of the client's Digital Portfolio. Taking advantage of the client's unified data platform and working with the team you would have overall responsibility for managing and maintaining existing data pipelines, monitoring of workloads, root cause analysis, data quality monitoring and escalation of technical issues to Product Owner

  • Monitoring and recovery of Azure Data Factory and Databricks jobs
  • Proactive monitoring of data quality
  • Becoming a subject matter expert on understanding client's data sources, ingestion methods and data quality levels
  • Assisting in developing and adhering to associated data governance policies and internal processes
  • Working closely with the wider team to understand the business needs and improve data quality
  • Develop and maintain digital services data quality KPIs
  • Maintaining and monitoring of user facing dashboards and other internal Digital products
  • Updating and patching of existing Digital software products
  • Documenting root cause analysis outputs
  • Skills, Knowledge and Expertise
    Role Requirements
  • Microsoft Azure Experience (essential)
  • Knowledge of Azure data components such as Azure Data Factory, Azure SQL DB, Azure Data Lake, etc
  • Strong Python and SQL skills for manipulating data
  • Apache Spark and/or Databricks experience
  • Experience using BI visualisation tools, such as Power BI
  • Experience in managing end-to-end analytics pipelines (batch and streaming) suitable for data science workload consumption
  • Experience in root-cause analysis and post-incident reporting in a production environment
    Knowledge and Qualifications
  • A relevant degree in Computer Science, Engineering, and/or relevant certificates including, Azure Data Engineer Associate are desirable
  • Knowledge of railway industry rolling stock, organisation and players
  • Data ingestion methods for real-time and batch ingestion
  • PySpark
  • Debugging Apache Spark workloads
  • Experience using BI visualisation tools, such as Power BI
    Key Skills
  • Interpersonal skills
  • Report writing, presentation and record keeping skills
  • Excellent communication and stakeholder management
  • A great place to work
  • We are seeking the very best talent to join the team, and offer an excellent salary, along with bonus and benefits
    This is a fantastic opportunity to join a great organisation with excellent people and a road map for the future to grow and develop the business. Some of our benefits are listed below:
  • Excellent pension scheme
  • Financial wellbeing support
  • Flexible working
  • Enhanced family friendly policies
  • Adoption & Shared Parental Leave benefits
  • Enhanced Armed Forces policies
  • Ongoing support with professional and personal development
  • Long service awards
  • Life assurance
  • Healthcare cash plan
  • 25 days' annual leave + Bank Holidays + option to buy and sell up to 5 days' additional leave
  • Additional days annual leave for long service
  • Season ticket loan
  • Cycle to work scheme

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.