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

Apply Now

Senior Data Engineer

London
1 week 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 Data Engineer (Databricks Specialist) | London/Hybrid | up to £85k + Bonus

Are you a Databricks expert ready to make a real impact? Join our high-growth consultancy and help shape the future of data platforms for some of the UK’s most asset-intensive industries.

📍 Location: London (Hybrid – ~3 days/week onsite)

📄 Contract: Permanent

💼 Reporting to: Tech Lead

💰 Salary: £70,000 – £85,000 base + up to 20% bonus (based on performance & commercial impact)

🔍 What’s the Opportunity?

We’re on the lookout for a Senior Data Engineer to take a leading role in our expanding Databricks practice. With two senior team members moving on and demand growing fast, this is your chance to step into a high-impact, client-facing role where your work will directly shape mission-critical analytics platforms.

👥 Who Are We?

We’re a values-driven consultancy with a strong presence in utilities, manufacturing, and aviation. Our team thrives on collaboration, technical excellence, and clear communication. We don’t just build data platforms—we solve real business problems.

🛠️ What You’ll Be Doing

  • Designing and building scalable data pipelines using Databricks and medallion architecture

  • Leveraging Delta Live Tables (DLT) for streamlined transformations

  • Migrating and optimizing legacy pipelines

  • Preparing datasets for Power BI and other analytics tools

  • Implementing Unity Catalog for governance and lineage

  • Supporting pre-sales and client engagement

  • Collaborating with Platform Engineers and Architects

  • Championing best practices across engineering and DevOps

    ✅ What You Bring

    Must-Haves:

  • 5+ years in data engineering

  • Deep hands-on experience with Databricks

  • Strong grasp of medallion architecture & DLT

  • Proven experience in pipeline migration & optimization

  • Excellent communication skills—technical and non-technical audiences

  • Comfortable in fast-paced, client-facing environments

    Nice-to-Haves:

  • Unity Catalog experience

  • Certifications (Databricks, Azure, AWS)

  • Industry experience in manufacturing or supply chain

  • Exposure to pre-sales or proposal work

    🌟 Why Join Us?

  • Be part of a fast-growing team with a clear vision

  • Work on cutting-edge cloud data projects

  • Help shape our Databricks delivery model

  • Clear path to Tech Lead or Delivery Lead roles

  • A culture that values impact, quality, and continuous improvement

    📩 Ready to take the next step?

    Click 'Apply now' and share your CV.

    Interviews ASAP

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.