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

Apply Now

Senior Data Engineer

Loughton, Milton Keynes
8 months ago
Applications closed

Related Jobs

View all jobs

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

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior DataOps Engineer

Senior Data Infrastructure & MLOps Engineer

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer - Snowflake | Cloud Migration

Location: Milton Keynes (flexible hybrid working)

Salary: Competitive + Excellent benefits

A leading regulated financial services and insurance organization is seeking an experienced Senior Data Engineer to play a key role in their cloud transformation journey. This is an excellent opportunity to shape and implement data engineering solutions while working with cutting-edge technologies.

Key Responsibilities:

  • Design and implement cloud data pipelines using Snowflake and modern data engineering tools

  • Lead the migration of on-premises ETL processes to cloud services

  • Develop and optimize data models, ensuring scalability and performance

  • Work with stakeholders to translate business requirements into technical solutions

  • Mentor junior engineers and contribute to team development

  • Drive improvements in data engineering processes and systems

    Required Experience & Skills:

  • Strong experience in data engineering and data warehousing

  • Strong expertise in Snowflake, including performance tuning and optimization

  • Proficient in Java or Scala or Python

  • Advanced SQL skills

  • Experience with DBT and modern data pipeline tools

  • Strong knowledge of file formats (ORC, Parquet, AVRO) and optimization techniques

  • Experience with DevOps practices and containerization technologies

  • Proven track record of stakeholder management

  • Experience working in regulated environments

    Desirable:

  • Experience with Apache Kafka, Spark, or similar technologies

  • Knowledge of machine learning and AI integration

  • Experience with Agile methodologies

  • Cloud certifications (AWS, Snowflake)

    Benefits:

  • Competitive salary

  • 10% bonus

  • Excellent 10.5% company pension contribution

  • Comprehensive healthcare package

  • Flexible working arrangements

  • Professional development opportunities

  • Modern tech stack and innovation-focused environment

    This is an exceptional opportunity to join a forward-thinking organization where you'll have the chance to shape the future of data engineering while working with the latest cloud technologies.

    To apply or learn more about this position, please submit your application

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.