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

Apply Now

Senior Data Engineer

Annapurna
Sheffield
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Analytics Engineer


Location:Remote (United Kingdom)



About The Company:


We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their niche insurance needs, they leverage granular information on each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk.



The Role:


  • Designing and implementing data pipelines and models, ensuring data quality and integrity.
  • Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources.
  • Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs.
  • Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way.
  • Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics.
  • Optimising pipelines, frameworks, and systems to facilitate easier development of data artifacts.



You will be successful if you have:



  • A Bachelor’s or Master's degree in Computer Science, Information Systems, or a related field.
  • 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics.
  • Strong skills in SQL, Python, problem-solving and data analysis.
  • Deep Experience with Snowflake and AWS
  • Deep Experience with dbt.
  • Excellent communication and collaboration skills.
  • An eagerness to learn and collaborate with others, learn quickly and able to work with little supervision.


If you would like to have a chat about this exciting opportunity, apply below or reach out directly to

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.