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

View Open Roles

Head of Data

London
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering

Head of Data Engineering

Principal Geospatial Data Engineer

Lead Data Engineer

Senior Data Engineer

Data Engineer

Head of Data - Manchester - Hybrid

Are you ready to shape the future of data in retail?

We're working exclusively with a leading name in the retail sector who are investing heavily in their data capabilities. As part of this transformation, they're hiring their first-ever Head of Data - a pivotal role that will define and drive the data strategy across the business.

The Role:

This is a brand-new leadership position, reporting directly into the C-suite. You'll be responsible for building and leading a small but growing team of data professionals, while also being hands-on in shaping the data architecture and strategy.

You'll work closely with stakeholders across the business to unlock the power of data, enabling smarter decision-making and driving innovation.

What You'll Be Doing:

Define and execute the company's data strategy from the ground up
Lead and grow a high-performing data team
Oversee the design and implementation of scalable data pipelines and infrastructure
Collaborate with cross-functional teams to embed data-driven thinking across the organisation
Ensure data governance, quality, and security best practices are in place
Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow
Preferably some experience with Snowflake although this is not essentialThis is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery.

Benefits:

Hybrid: 3 days a week in the office, 2 days remote
Competitive salary
Huge opportunity for impact and career growth
Discretionary bonus
Private healthcare
28 days annual leave + Bank holidays

If you're a data leader ready to take ownership of a greenfield opportunity in a fast-paced retail environment, we'd love to hear from you.

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Contact me

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 Data Engineering Jobs: The Best Months to Apply & Why

The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.

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

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Why Now Is the Perfect Time to Launch Your Career in Data Engineering: The UK's Data Infrastructure Revolution

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.