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

Apply Now

Data Engineer | Hybrid | Cardiff

IntaPeople
Cardiff
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Lead Data Engineer

Senior Data Engineer - GCP

Principal Data Engineer - GCP

Data Engineer (ML/AI Focus) - Healthcare Analytics  London | Hybrid

IntaPeople are proud to be supporting a Welsh based organisation with the recruitment of a newly created Data Engineering role. You’ll be heavily involved with the organisation’s Data Team and play a huge role in providing quality and reliable data to feed into their analytics services used widely by the business.

We are looking for a talented individual to join us as we continue our data and analytics journey within this fast-growing technology team and there will be strong opportunities to get involved with the latest cloud-based technologies, advanced analytics, and modern web/mobile based user friendly applications.

Skills/Experience

  • A computer studies degreeORtransferable skills
  • Experience working as a Data Engineer, Scientist or Analyst  (2+ years experience)
  • Experience of using a cloud-based data stack –Amazon Web Services
  • Experience working on-premise with SQL servers to cloud migration
  • Experience in database management
  • A Good understanding of typical ingestion patterns ‘ETL0’ and their effective implementation with on-premise and cloud-based environments

Reporting to the Data Analytics Manager and working closely with other Engineers, you’ll be responsible for(but not limited to):

  • Designing and implementing data engineering projects on both on-premise and cloud-based data stacks, delivering efficient solutions that comply with architectural and data security requirements.
  • Being able to work collaboratively as part of a team, whilst also being trusted to work individually where necessary. Approaching collaborative projects with others in a positive manner to problem-solve, and identify viable solutions to overcome issues and challenges.
  • Collaborating closely with technical colleagues within the technology teams as well as key stakeholders.
  • Remain aware of new data engineering approaches, and be able to suggest how the latest research, techniques and approaches could be implemented to achieve business benefits.
  • Undertaking any other duties as required to meet the needs of the business.

This is an exciting opportunity for an experienced Data Engineer who wants to join a growing organisation who historically have relayed heavily on external partners but are now re-investing internally to grow their own in-house software team.

For more information, Please call Nathan Handley on 02920 252 500 or click APPLY now

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.