(28/05/2025) Principal Data Engineer...

Burns Sheehan
London
4 days ago
Create job alert

Principal Data Engineer £120,000-£140,000 ️ Snowflake,
SQL, dbt London, hybrid working Finance empowering small business
We have joined forces with a leading UK fintech who help small
businesses get the funds they need, when they need it. They are
looking for a Principal Data Engineer who will be responsible for
the data platform. In this role you'll define data strategy, drive
the evolution of data infrastructure, and ensure data systems
enable impactful decision-making across the business. What you'll
be doing... - You will take ownership of the Snowflake platform to
ensure it is a highly efficient and accessible resource for the
business. - You will lead the development and optimisation of data
pipelines using dbt, enabling faster and more reliable data flows.

  • You will collaborate with analysts and data scientists to design
    and maintain data models that enable more intuitive use for
    reporting, machine learning, and advanced analytics. - You will
    design and implement robust data governance frameworks, ensuring
    high data quality, compliance, and consistency. - You will
    recommend and lead the adoption of new tools and technologies that
    enhance data engineering capabilities. What they are looking for...
  • Expertise with Snowflake and strong SQL skills. - Experience in
    designing and implementing scalable data architectures. - Skilled
    in building and managing real-time and batch data pipelines using
    dbt. - Familiarity with Docker, Terraform, and Kubernetes for
    application orchestration and deployment. - Understanding of data
    science concepts and experience collaborating with data scientists
    to productionise machine learning models. - Strong communication
    skills, with the ability to translate complex business needs into
    effective technical solutions. What's in it for you... - An
    employee equity incentive scheme. - Medical insurance from
    Vitality, including discounted gym membership. - 3% employer
    pension contribution. - A private GP service for you, your partner,
    and your dependents. - 25 days' holiday, an extra day off for your
    birthday, the option to buy or sell an additional five days of
    annual leave, and unlimited unpaid leave. - Instant access to
    external counselling and therapy sessions for team members that
    need emotional or mental health support. - Generous parental leave
    and a nursery tax benefit scheme. - A learning and development
    budget for everyone. - Access to learning platforms like Treehouse.
  • Two company retreats a year (they have been to the likes of
    France, Italy and Spain previously). If you are interested in
    finding out more, please apply or contact me directly!
    Principal Data Engineer
    £120,000-£140,000 ️ Snowflake, SQL, dbt London, hybrid working
    Finance empowering small business Burns Sheehan Ltd will consider
    applications based only on skills and ability and will not
    discriminate on any grounds. #J-18808-Ljbffr

Related Jobs

View all jobs

Process Operator

Data Analytics & Data Science Lead

Sales Executive

AI Automation Analyst

Stores Person

Mandarin Speaking AVP Business Intelligence Analyst

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.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

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.