Principal Data Engineer

Broadbean Technology
Taunton
2 days ago
Create job alert

Principal Data Engineer - up to £72,000- Hybrid working (Taunton Based but flexible)

The Opportunity

Yolk Recruitment Public Sector & Not-for-Profit team are working with a valuable civil service organisation that is relatively unknown. Their specialised focus leads to very unique roles with a large scope for personal learning and development.

We are supporting them to recruit a Principal Data Engineer who has excellent Python coding skills working in an advanced multi-cloud environment - who can coach and mentor junior members of staff.

This role will require Security Clearance so the successful candidate will need to have lived in the UK for at least 5 years.

What the Principal Data Engineer will be doing.

You will be leading on the design, implementation and maintenance of core data modelling, storage and pipeline solutions; using stakeholder requirements to guide your decisions.

  • Building effective and scalable data pipelines, models and storage - driving the team forward and working closely with stakeholders
  • Generating roadmaps and data architecture based on business needs
  • Ensuring the reliability and performance of data engineering pipelines - leading on code quality and documentation
  • Sharing technical expertise with team members, mentoring and coaching them

What the successful Principal Data Engineer will bring to the team
You will have a solid coding skills, ideally in Python - with the ability to work in a multicloud environment - demonstrating pipeline tracking, usage monitoring and cost management.

  • Demonstrable skills with Python coding and SQL
  • Awareness of how to work within Azure/AWS/GCP
  • Experience of pipeline building, data modelling, and analytical models/machine learning.
  • Experience of leading a team and projects, with ability to support workload prioritisation and personal development

Here's What You'll Get in Return

  • Salary of up to £72,000
  • Pension scheme with employer contributions up to 28%
  • 5 days annual leave per year, increasing to 31.5 days after 5 years' service
  • Minimum of 5 days learning and development to each employee per year
  • Professional membership subscriptions, mentoring, and sector specific learning available to all
  • Flexible working hours scheme with up to two days per month Flexi leave, paid special leave, career breaks, and unpaid leave

Think this one's for you
If you think this Principal Data Engineer opportunity is for you then please apply online.

Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs.

Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer - AWS

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.