Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Principal Data Engineer

IPS Group
Hampshire
3 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer - Azure Databricks (Unity Catalog) - Contract

Principal Data Engineering Consultant

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer – Azure Databricks (Unity Catalog) - Contract

Principal Data Engineering Consultant

Role: Principal Data Engineer
Type: Permanent
Location: Hampshire, London (Hybrid Working)
Salary: £80, – £90, + Benefits

Are you an experienced Data Engineer ready to take the next step into a strategic, hands-on leadership role? This is a fantastic opportunity to join a well-established organisation with a long-standing heritage and a strong customer-first ethos, operating at scale within the insurance sector.
They are a household name in general insurance and part of a larger European group, with a UK presence that continues to grow. With significant investment in their data and technology function, they’re now looking to bring on a Principal Data Engineer to help shape and evolve their data infrastructure and engineering capability.


The Opportunity:
This is a pivotal role where you’ll lead on the design, delivery, and optimisation of scalable, secure data systems that support the wider business strategy. You’ll be part of a collaborative tech environment, working closely with cross-functional teams and mentoring fellow engineers. It’s a great blend of hands-on technical work and strategic influence.


What You’ll Be Doing:

Designing and delivering robust data pipelines and high-performing architectures


Defining and implementing best practice in data modelling, storage and retrieval
Collaborating with stakeholders to ensure alignment between technical solutions and business objectives
Leading on the integration of cloud platforms and modern tooling (Azure, Snowflake, Matillion etc.)
Coaching and mentoring engineers to elevate capability across the team
Ensuring data governance, privacy and security standards are embedded into all solutions
Troubleshooting and optimising data infrastructure performance

What We’re Looking For:

8+ years’ experience in data engineering, with at least 3 years in a senior or leadership role


Proven experience designing and delivering end-to-end data pipelines
Strong experience with Azure cloud services and security concepts (Key Vault, ACLs, RBACs)
Hands-on with Snowflake, Matillion, and a range of modern data tools
Programming expertise in Python, Java or SQL
Solid knowledge of relational and NoSQL databases
Excellent communication skills – able to translate technical concepts for non-technical audiences
A degree in Computer Science, Data/Analytics, or related experience

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.