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

Apply Now

Data Engineer

Fenny Stratford
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer – Cloud & Data Transformation

Location: Milton Keynes (Hybrid) or remote working / home based within the UK with very occasional office visits

Are you a Data Engineer passionate about cloud data solutions, modern data architectures, and scalable ETL/ELT processes? Join a forward-thinking organisation in the financial services sector, driving data transformation and innovation.

About the Role

As a Data Engineer, you will play a key role in developing and optimising data pipelines, integrating structured and unstructured data, and supporting the evolution of a modern Snowflake cloud-based data platform. This role involves working with Snowflake, data lakehouse architectures, and cloud technologies to ensure robust, scalable, and efficient data processing.

Key Responsibilities

  • Develop and maintain ETL/ELT processes to ingest, transform, and integrate data from multiple sources into Snowflake and data lakehouse environments

  • Design and optimise data models and schemas for both structured and unstructured data with a snowflake environment

  • Enhance cloud data capabilities, working with AWS S3, Azure Data Lake, and Apache Spark

  • Collaborate with cross-functional teams to ensure data availability for advanced analytics and reporting

  • Automate workflows, implement CI/CD pipelines, and maintain data integrity and quality

  • Stay ahead of emerging technologies to drive continuous improvement and innovation in data engineering

    Key Skills & Experience

  • Proven experience in data engineering, data warehousing, and data lakehouse development

  • Hands-on expertise in Snowflake and cloud platforms (AWS, Azure)

  • Strong SQL and programming skills in Python, Java, or Scala

  • Experience with data integration tools, APIs, and real-time data processing

  • Knowledge of BI tools (Tableau, Power BI) and ETL/ELT frameworks (Talend preferred)

  • Excellent problem-solving and stakeholder communication skills

    Why Join Us?

  • Work on cutting-edge cloud and data projects in a fast-moving, innovative environment

  • Be part of a collaborative, inclusive, and forward-thinking team

  • Career growth opportunities, training, and professional development

  • Influence the future of data strategy and analytics within a leading organisation

    Benefits:

  • Competitive salary

  • 10% bonus

  • Excellent 10.5% company pension contribution

  • Comprehensive healthcare package

  • Flexible working arrangements - Milton Keynes (Hybrid) or remote working / home based within the UK with adhoc and occasional office visits

  • Professional development opportunities

  • Modern tech stack and innovation-focused environment

  • 27 days annual leave (plus bank holidays) and a holiday purchase scheme

  • Life Assurance (x4 salary), Subsidised private medical insurance, Cycle to Work scheme, Employee discounts platform, including gym discounts, 24/7 employee assistance programme supporting your mental wellbeing, 2 days volunteer leave, etc

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.