National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Engineering Lead (Data Products)

London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Principal Consultant - Data Engineering (Lead)

Data Engineering Lead

Data Engineering Lead

Data Engineering Lead

Data Engineering Lead

As a Software Engineering Lead, where you'll play a key role in guiding teams to deliver high-quality, scalable, and secure software solutions. With a focus on large-scale full-stack development, this role is ideal for those who thrive in a dynamic and collaborative environment, bringing expertise in Platform Engineering, AWS, Microservices, and DevOps.

What You'll Do:
· As an extension of our Software Engineering's Centre of Excellence, lead internal and external teams of software engineers, fostering a culture of trust, collaboration and continuous improvement.
· Assess and help develop and execute engineering strategies, ensuring scalable, high-performance software solutions.
· Work closely with stakeholders to define technical requirements and translate them into actionable development plans.
· Proactively evaluate the current state of the data platform development and work with CoEs to drive sustainable improvements in the team and across the organisation.
· Drive the adoption of modern Data Engineering and DevOps practices in the team to enhance software delivery and operational efficiency.
· Champion best practices in software engineering, ensuring security, maintainability, and performance.
· Present technical solutions and progress to stakeholders, translating complex concepts into clear business value.
· Build strong relationships across teams, acting as a bridge between engineering and business functions.

What You'll Bring:
· Proven experience delivering an end-to-end data platform.
· A deep understanding of data engineering practice, particularly Data Lake, Data Warehousing, Analytics, and Reporting.
· Strong knowledge of ETL pipeline design, data optimisation, and governance.
· Strong stakeholder management and communication skills, with the ability to present technical concepts clearly.
· Experience with DevOps tools and methodologies, enabling efficient and secure software delivery.
· Ability to work closely with development teams to enable self-service capabilities and improve efficiency.
· A mindset of continuous improvement, always looking for ways to enhance developer productivity.
· A proactive, problem-solving mindset, with the ability to drive innovation and change.
· Ability to balance between applying the fundamentals and taking a pragmatic solution.

Your Experience:
· Proven experience in full-stack software engineering, with a strong technical foundation.
· Expertise in Python, Github, AWS, and modern cloud-native architectures.
· Knowledge of AVRO/Parquet, BI/Visualisation, NoSQL, Data Governance tooling
· Experience leading teams in an agile development environment.
· Strong DevOps knowledge, with experience in CI/CD pipelines and automation.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.