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

Apply Now

Data Engineer

Warwick
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Contract, Hybrid/Office-Based) – Warwick, UK

Are you passionate about transforming data into actionable insights? Do you thrive in fast-paced environments where your skills directly impact business decisions? We are seeking an experienced Data Engineer to join our team on a contract basis in Warwick, UK.

About the Role:

As a Data Engineer, you will be at the forefront of managing and enhancing our weather data product. Your expertise will help streamline data workflows, ensure seamless integration with Snowflake, and leverage Azure Data Factory and Logic Apps to deliver high-quality data solutions.

Key Responsibilities:

  • Collaborate with stakeholders to deliver small enhancement requests and improve data products.

  • Design, develop, and maintain data pipelines using Azure Data Factory, Logic Apps, and DataOps practices.

  • Integrate data workflows with Snowflake to support analytics and reporting.

  • Communicate effectively across teams to ensure smooth project delivery.

    Ideal Candidate Profile:

  • Expert-level proficiency in Azure Data Factory (ADF)

  • Hands-on experience with Logic Apps and DataOps methodologies

  • Strong knowledge of Snowflake data platform

  • 6 to 8 years of relevant experience in data engineering and cloud environments

  • Excellent collaboration and problem-solving skills

    Contract Details:

  • Location: Warwick, UK (Office-based)

  • Duration: 6 months, rolling

  • Rate: Competitive, aligned with market standards (minimum market rate approx. £500-£600/day)

  • Mode: Fully office-based

    This is an excellent opportunity to work on impactful projects within a forward-thinking organization. If you meet the criteria and are ready to make a difference, we’d love to hear from you

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

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.

Jobs

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.

Jobs

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.

🍪 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.