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

Apply Now

Premier Group | Data Engineer

Premier Group
Oxford
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Market Intelligence

Senior Data Engineer

Data Engineer

Junior Data Engineer

Role: Data Engineer


Do you have the skills to fill this role Read the complete details below, and make your application today.

Location: Oxford

Hybrid: 2 day per week in office

Salary: Up to £55,000

An opportunity has become available for a Data Engineer to work closely with Data Engineers, analysts and key stakeholders to identify the requirements and work with the technical team to ensure deliverables and timescales are met.

You will work alongside the team to develop pipelines and drive the data infrastructure. You will set data engineering best practices, identifying opportunties for growth and improvement. Designing, developing and maintaining reusable data assets will also be part of your responsibilities.

Key skillset:

  • Strong understanding of data warehouse architecture
  • Strong understanding of ETL tools
  • Create data tools for analytics
  • Leading and Mentoring where necessary
  • Strong experience in SQL & Python
  • Developing data pipelines and data manipulation
  • Experience working with cloud-based platforms - Azure, AWS

In return my client can offer the successful Data Engineer a salary of up to £55,000 depending on experience and hybrid working offer of 2 days per week in the office.

If you are interested in the Senior Data Engineer position then please apply today.

Unfortunately there is no sponsorship opportunity with this role.

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.