Data Quality Lead | Eastleigh | Up to £85,000 I’m recruiting for a Data Quality Lead to join a large UK organisation and play a key role in building an AI ready data future. This is a senior opportunity for someone with strong enterprise Data Quality experience who can own strategy, build frameworks and controls, influence senior stakeholders and lead Data Quality improvements across a complex organisation. You’ll need experience across Data Quality strategy, governance, monitoring, issue management and transformation programmes, alongside exposure to tools such as Collibra and Databricks Unity Catalog. Experience with AWS or Azure is also highly relevant. Eastleigh, 1 day per week in the office is essential Up to £85,000 Permanent ASAP start No visa sponsorship available If you’re interested, please send me your cv to paul.culmer@xcede.com

Data Quality Lead

Join a leading consumer organisation in London as an Analytics Engineering Lead, shaping how trusted data is modelled, governed and consumed across key business domains. 
 
You’ll combine deep technical expertise with strong stakeholder partnering to deliver scalable data products that enable faster, smarter decision-making.

The Role

<ul>
	<li>Lead analytics engineering at a business-domain level (e.g., Customer, Commercial, Operations), setting direction and driving delivery with a high degree of autonomy
	<li>Act as a hands-on technical leader for data modelling, testing, documentation and governance best practices
	<li>Build strong partnerships across Product, Marketing, Finance, Engineering and Data to define requirements and deliver high-impact solutions
	<li>Mentor analytics engineers through code reviews, pairing and knowledge sharing (no formal line management responsibilities stated)
</ul>

What You’ll Do

<ul>
	<li>Plan and deliver domain-level analytics engineering initiatives aligned to strategic priorities
	<li>Design, build and evolve reusable data models and transformation pipelines using dbt and Snowflake
	<li>Own end-to-end delivery of datasets and models, coordinating input from other engineers where needed
	<li>Make architectural and technical decisions balancing performance, scalability, cost and usability
	<li>Embed high standards of data quality through testing, monitoring and governance practices
	<li>Use metrics (e.g., data quality, pipeline performance, adoption) to drive continuous improvement
	<li>Identify and implement opportunities to improve processes, tooling and workflows
	<li>Represent analytics engineering in cross-team discussions, negotiating priorities and trade-offs
</ul>

What We’re Looking For

<ul>
	<li>Advanced SQL skills (complex transformations, modelling and performance optimisation)
	<li>Extensive hands-on dbt experience building scalable, maintainable analytics models
	<li>Strong data modelling & architecture experience across complex business domains (minimum 7 years in analytics engineering/data modelling)
	<li>Strong Snowflake experience, including performance optimisation and cost-efficient warehouse design (experience with other cloud data platforms beneficial)
	<li>Proven ability to lead and evolve analytics engineering solutions at a domain level
	<li>Python skills for automation and data processing
	<li>Proficiency with git and collaborative development workflows
	<li>Confident stakeholder management: able to influence and partner effectively at multiple levels
	<li>Comfortable operating with ownership and autonomy in ambiguous problem spaces
	<li>Experience mentoring and developing other engineers
	<li>Experience working in agile delivery environments, focused on outcomes and continuous improvement
	<li>Strong technical curiosity and desire to stay current with modern data practices
</ul>

Nice to Have

<ul>
	<li>Data monitoring/observability tooling (e.g., DataDog)
	<li>Orchestration and ingestion tooling (e.g., Dagster, Fivetran)
	<li>Data visualisation familiarity (e.g., Tableau)
	<li>Exposure to AWS services and infrastructure-as-code (e.g., Terraform)
	<li>Familiarity with analytics tooling such as GA4, GTM, BigQuery
</ul>

Package

<ul>
	<li>Permanent role, 40 hours per week
	<li>Location: London, United Kingdom (on-site requirement)
	<li>Salary: Not provided
	<li>Tech environment includes: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau, AWS, Terraform, GitHub, Jira, Confluence (you don’t need experience with everything listed)
</ul>

Process / How to Apply 
Apply via the job board/careers page with your CV. If your experience aligns with what we’re looking for, we’ll be in touch to outline the next steps in the process.

Analytics Engineering Lead

We’re looking for an experienced Head of Data Platforms to lead and evolve a modern Data Platform function during a period of growth and change. 
 
This is a senior leadership role combining strategic delivery, operational excellence and vendor management, with responsibility for multiple teams and direct people leadership.

The Role

<ul>
	<li>Lead the Data Platform organisation, including 3 direct reports, ensuring teams deliver reliably at scale
	<li>Own the delivery and day-to-day operation of the Data Platform, balancing long-term sustainability with near-term priorities
	<li>Partner closely with senior stakeholders across Engineering, Product and Commercial teams to deliver the roadmap
	<li>Provide governance, planning oversight and clear reporting on progress, risks and dependencies
	<li>Own key vendor relationships, supplier performance and commercial governance across the platform portfolio
</ul>

What You’ll Do

<ul>
	<li>Drive delivery across a portfolio of Data Platform initiatives, keeping programmes aligned to business priorities
	<li>Run quarterly planning cycles and delivery governance, ensuring clear commitments and outcomes
	<li>Proactively manage delivery risks, cross-team dependencies and stakeholder expectations
	<li>Lead operational excellence for the platform (reliability, scalability, resilience and governance)
	<li>Maintain ownership of technology risk and support operational readiness for peak trading periods
	<li>Manage strategic suppliers and contracts, working closely with Procurement and Finance to ensure value and performance
	<li>Represent the Data Platform function in leadership forums and communicate strategy to both technical and non-technical audiences
	<li>Coach and develop engineering leaders, removing bottlenecks and improving ways of working across teams
</ul>

What We’re Looking For

<ul>
	<li>Significant experience leading multiple data and/or engineering teams within a modern technology organisation
	<li>Proven track record delivering complex, cross-functional programmes and roadmaps
	<li>Strong stakeholder management with the ability to influence at senior/executive level
	<li>Experience managing technology vendors, commercial relationships and supplier governance
	<li>Confidence operating in ambiguity and leading through organisational change
	<li>Strong understanding of engineering operational excellence, governance and platform reliability
	<li>Experience with planning, prioritisation and delivery management (including quarterly/OKR-style cycles)
	<li>Demonstrable coaching and development of Managers and leadership capability
	<li>Technical background in Data Platforms, Data Engineering or Platform Engineering
	<li>Ability to balance long-term technical direction with operational delivery
</ul>

Nice to Have

<ul>
	<li>Experience with Snowflake, dbt and AWS
	<li>Experience leading a Data Platform or Platform Engineering organisation
	<li>Background in high-growth technology environments
	<li>Exposure to AI or Machine Learning platforms
</ul>

Package

<ul>
	<li>Salary: From £140,000 (GBP)
	<li>Location: London, United Kingdom (on-site)
	<li>Hours: 40 per week
	<li>Contract type: Permanent
</ul>

Process / How to Apply 
Apply with your CV. If shortlisted, you’ll be contacted to arrange an initial conversation, followed by further interviews focused on leadership, delivery and platform operations.

Head of Data Platforms

Summary 
Join a leading hospitality technology organisation using AI to help operators stay perfectly staffed as demand changes by the hour. 
We’re hiring a Senior Data Engineer to take ownership of the data infrastructure and pipelines powering analytics, forecasting and production machine learning. 
Location: Camden, London (office-first, 4 days/week on-site) | Type: Permanent, full-time (40 hours)

The Role

<ul>
	<li>Be a core technical owner of the data platform, ensuring reliable, high-quality data from ingestion to production use cases
	<li>Build and maintain robust ETL/ELT pipelines and the infrastructure behind them
	<li>Partner closely with Data Science, Engineering and Product to improve performance, scalability and operational reliability
	<li>Help shape best practices and mentor others through reviews, pairing and knowledge sharing
</ul>

What You’ll Do

<ul>
	<li>Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy
	<li>Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD
	<li>Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda)
	<li>Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use
	<li>Build and maintain integrations with internal services and partner systems to enable clean, scalable access to data
	<li>Diagnose and resolve production data issues, improving resilience and reducing operational toil
	<li>Collaborate with stakeholders to translate business problems into practical, scalable data solutions
</ul>

What We’re Looking For

<ul>
	<li>Strong data engineering fundamentals: pipeline design, orchestration, testing and monitoring
	<li>Production-quality Python and advanced SQL skills
	<li>Experience running machine learning systems in production, including model serving and monitoring
	<li>Comfort working across cloud infrastructure (ideally AWS) and an understanding of platform/DevOps principles
	<li>A pragmatic, ownership-driven approach: you’re happy to dive into problems, unblock others and keep systems running smoothly
	<li>Ability to thrive in a fast-moving environment where you can have meaningful impact
</ul>

Nice to Have

<ul>
	<li>Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, SageMaker, Lambda)
	<li>Prior experience supporting analytics and ML teams with data modelling and reliable datasets
	<li>Mentoring experience (formal or informal)
</ul>

Package

<ul>
	<li>Salary: up to £120,000 (dependent on experience)
	<li>Private medical insurance
	<li>Office gym membership
	<li>Equity/ownership shares
	<li>Dog-friendly office
	<li>Snacks and fruit in the office; dinner provided when working late
	<li>Regular team breakfasts and lunches
	<li>Work style: office-first, 4 days/week in Camden, London
</ul>

Process / How to Apply 
Apply via this advert with your CV. Suitable candidates will be contacted to discuss the role, experience, and office-based working pattern, followed by a structured interview process.

Senior Data Engineer

​With over 15 years of experience working for Xcede, Paul is currently our Senior Principal Consultant in Analytics across the UK and Europe. Leveraging his diverse range of talent acquisition experience, Paul has helped a range of organisations to expand their technology teams. Paul consults on a wide range of analytics-focused roles across all levels, from Customer Insights, Marketing Analysis, Database Marketing and Campaign Management, to Direct Marketing, Email Marketing, Forecasting and beyond. Specialists with proven experience in SQL, Python, and R can contact Paul to discuss the latest Analytics roles. 

Data Quality Lead

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Paul Culmer

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