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DATA ENGINEER
£80,000
LONDON

This is a fantastic opportunity to join a specialist data and technology consultancy working with major brands across entertainment, sport and cultural sectors. You’ll take ownership of data engineering initiatives across both internal platforms and client projects, working directly with senior leadership whilst building scalable solutions that drive real business impact.

THE COMPANY

Our client is a data-driven marketing and technology consultancy that helps organisations better understand their customers and maximise commercial performance. Working across large-scale customer data, analytics and AI projects, they partner with well-known organisations to deliver data-led solutions. With continued project wins and growth plans, they are looking to strengthen their engineering capability with a key hire reporting directly to the CTO.

THE ROLE

• Build and maintain data pipelines and integrations across a range of customer, CRM, marketing and behavioural data sources
• Own and develop cloud-based data infrastructure across GCP, Snowflake and client environments
• Design and implement data models, transformations and scalable warehouse solutions
• Deliver technical solutions for client data platform projects, including customer data platforms and CRM integrations
• Work directly with clients and stakeholders to understand requirements and provide technical expertise
• Support the ongoing improvement of engineering standards, processes and platform capabilities

YOUR SKILLS AND EXPERIENCE:

• Strong Python experience for production-grade engineering and integration work
• Strong SQL skills and experience building data pipelines and warehouse solutions
• Experience with cloud technologies, ideally GCP, Snowflake or similar environments
• Understanding of data modelling and modern data engineering best practices
• Experience deploying, testing and maintaining production systems
• Consultancy, agency, startup or client-facing experience would be advantageous
• Experience working with customer, CRM or marketing data would be beneficial

SALARY AND BENEFITS

• £60,000-£80,000 base salary
• Hybrid working model
• 25 days annual leave plus public holidays and Christmas closure
• Health cash plan and employee assistance programme
• Personal development opportunities and industry conferences

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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DIRECTOR OF PRODUCT ENGINEERING
£150,000
LONDON

This is a unique opportunity to join a fast-growing AI business at a pivotal stage of its growth. You’ll be responsible for building a scalable Product Engineering function, leading multidisciplinary technical teams whilst helping transform bespoke client delivery into repeatable, enterprise-grade products. The role offers significant autonomy, executive exposure and the chance to help shape the future direction of the business.

THE COMPANY

Our client is an innovative AI and customer analytics company helping large enterprises unlock more value from their customer data. Working with organisations across Financial Services, Insurance, Retail and Healthcare, they combine Data Science, AI and Engineering to solve complex customer growth challenges. Following continued success and increasing demand, they are investing heavily in their technical capability and product platform.

THE ROLE

• Lead teams across Data Science, Data Engineering, Platform Engineering and Application Development
• Build a repeatable and scalable Engineering function capable of supporting continued growth
• Own technical solution design, architecture, quality standards and production readiness across products
• Work closely with enterprise clients and senior stakeholders to deliver AI and analytics solutions
• Drive the transition from bespoke client projects towards reusable platform capabilities
• Remain technically involved through architecture reviews, problem solving and delivery support
• Develop team capability through leadership, mentoring, hiring and engineering best practice

YOUR SKILLS AND EXPERIENCE:

• Proven experience leading Data Engineering, Data Science and broader Product Engineering teams
• Strong background within consultancy, services or client-facing environments
• Experience building, scaling or transforming technical functions
• Strong understanding of modern data platforms, engineering best practices and architecture
• Experience working with first-party customer data and customer analytics solutions
• Technical credibility with the ability to get hands-on when required
• Previous management experience leading teams of 5+ people across multiple disciplines
• Experience with Azure, Microsoft Fabric, AI or enterprise analytics platforms would be advantageous

SALARY AND BENEFITS

• £140,000-£150,000 base salary
• Share options with a clear growth and exit strategy
• Hybrid working model
• Expenses covered for client travel
• Significant autonomy and influence across the organisation
• Direct exposure to executive leadership team

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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SENIOR DATA ARCHITECT
£87,000-£90,000
REMOTE (UK) 1 day per month in Leeds

This is a great opportunity to join a major organisation undergoing a large-scale Azure data transformation. You’ll play a key role in shaping the future of the company’s data platform, becoming the go-to expert for data modelling and architecture whilst helping drive the move towards advanced analytics and data-driven decision making.

THE COMPANY

Our client is a well-established professional services organisation with a significant national presence and ongoing investment in data and technology. Having already modernised its infrastructure and established a cloud-based Azure Data Lakehouse platform, the business is now focused on building innovative data solutions and creating greater value from its data assets.

THE ROLE

• Own the data modelling and architecture strategy across a modern Azure Data Lakehouse environment
• Design and govern enterprise-wide data models across Medallion Architecture layers
• Create scalable curated and semantic data models using dimensional modelling and Kimball methodologies
• Define data standards, governance frameworks and modelling best practices across the platform
• Work closely with Data Engineers and Analytics Engineers to deliver data solutions
• Act as the technical authority for data modelling and architecture across the business
• Support the evolution from operational reporting towards predictive and prescriptive analytics

YOUR SKILLS AND EXPERIENCE:

• Strong hands-on Data Architecture experience within enterprise-scale environments
• Extensive experience with dimensional modelling, star schemas, facts, dimensions and Kimball methodologies
• Experience designing curated and semantic layers within modern cloud data platforms
• Strong understanding of Medallion Architecture and Azure-based Data Lakehouse environments
• Experience establishing governance, standards and data architecture best practices
• Strong stakeholder management skills and experience influencing senior leaders
• Experience within Financial Services, Professional Services or other regulated environments would be advantageous

SALARY AND BENEFITS

• £87,000-£90,000 base salary
• Predominantly remote working model
• Exposure to a major Azure Data Lakehouse transformation
• Significant autonomy and influence across the data function
• High visibility with senior technology and business stakeholders

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

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DATA ENGINEER
£45,000
LIVERPOOL

This is a fantastic opportunity to join a growing data function within a purpose-driven organisation where you can take ownership of building and developing key data assets. You’ll work with modern cloud technologies including Azure, Snowflake and Microsoft Fabric, whilst helping to shape the future of the company’s data platform.

THE COMPANY

Our client is a well-established organisation undergoing continued investment in data and analytics. With a growing BI function and a collaborative culture, this role offers the opportunity to work across a modern tech stack whilst developing your skills alongside an experienced team.

THE ROLE

• Build and maintain data ingestion pipelines using Azure Data Factory (ADF)
• Develop and support data warehousing solutions within Snowflake
• Design and optimise dimensional data models for reporting and analytics
• Support the migration and development of solutions within Microsoft Fabric
• Work closely with analysts and stakeholders to deliver high-quality data assets

YOUR SKILLS AND EXPERIENCE:

• Previous experience in a Data Engineering role
• Experience building and maintaining ETL/ELT pipelines
• Strong experience with Azure Data Factory (ADF)
• Understanding of data warehousing concepts and dimensional modelling
• Strong SQL skills and experience working in cloud-based data environments
• Experience with Snowflake, Microsoft Fabric or Databricks would be advantageous

SALARY AND BENEFITS

• Up to £45,000 base salary
• Hybrid working model (1 day per week in the office)
• Personal development fund

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

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Marketing Analytics Manager

London (Hybrid – 2x Days a Week in Office)

£65,000-£75,000

The Company

This is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers. The business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Marketing Analytics, Digital Analytics, Customer Analytics, Data Science, Data & AI, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. Loyalty is a key strategic priority for the business, with significant investment and senior-level backing behind its loyalty programme. The focus is on using data to better understand what drives customer loyalty and value, and to build stronger, longer-term relationships with customers.

The Role

As the Marketing Analytics Manager, you will take ownership of the analytics strategy for the loyalty programme, working closely with Marketing, Ecommerce, Product, Customer and Data Science teams to understand what drives customer behaviour and translate this into clear commercial action. This is an individual contributor role with significant ownership and influence. You will be the key analytics partner for loyalty, helping the business understand programme performance, improve targeting and personalisation, and make better decisions around promotions, communications and customer strategy.

You will:

• Define and own the analytics strategy for the loyalty programme, developing a deep understanding of how it drives omnichannel behaviour, frequency, retention and customer lifetime value
• Build insight around different customer and loyalty segments, identifying behavioural groups and opportunities to drive greater value
• Measure the impact and value of loyalty initiatives and targeted interventions, working closely with Marketing and Data Science
• Support more intelligent, data-led targeting across promotional and discounting activity
• Help move the business away from broad-based offers towards more relevant and value-accretive activity for loyalty members
• Own and develop self-serve reporting and dashboards using Power BI, providing trusted and timely visibility of programme performance and customer behaviour
• Design and evaluate tests across loyalty mechanics, communications and rewards to understand what drives engagement and retention
• Lead the analytical approach to questions around what data is needed, how it should be used and what commercial value it can create
• Act as the primary analytics partner for loyalty across Marketing, Ecommerce and Product
• Influence key decisions around promotions, targeting and wider customer strategy
• Set the standard for how loyalty insight is produced, communicated and acted upon
• Support the development and sharing of best practice across the wider analytics team

This role is ideal for someone who enjoys combining hands-on analysis with strategic thinking, taking a commercial question and using data to influence what the business does next.

Your Skills & Experience

• Solid experience in Marketing Analytics, Customer Analytics, CRM or Loyalty Analytics
• Strong SQL skills and experience working with large datasets
• Strong data visualisation experience, ideally with Power BI
• Strong understanding of loyalty and CRM metrics, including frequency, retention, lifetime value and RFM
• Experience with customer segmentation and understanding behavioural differences across a customer base
• Experience with testing, measurement and ideally incrementality
• Strong stakeholder management skills, with the confidence to influence challenging and demanding stakeholders
• Ability to translate complex analytical findings into clear, commercially focused recommendations
• Comfortable working across both digital and physical/store channels
• Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial
• Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous
• Python would be a plus

The successful candidate will be a commercially minded Marketing Analytics professional who can operate strategically, but is still comfortable getting into the detail of the data and delivering analysis themselves.

The Benefits

• £65,000-£75,000

How to Apply

If you’re an experienced Marketing Analytics, CRM, Customer or Loyalty Analytics professional with strong SQL and stakeholder management skills, and you’re looking for a role where your analysis can directly influence customer and commercial strategy, I’d be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Senior Customer Analyst

London (Hybrid – 2x Days a Week in Office)

£45,000-£50,000

The Company

This is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers; the business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Customer Analytics, Data Science, Data & AI, Marketing Analytics, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. The Customer Analytics team sits at the heart of this function, helping the wider business better understand its customers and use customer data to inform decisions across the customer lifecycle.

The Role

As a Senior Customer Analyst, you will sit within the Customer Analytics team, working closely with stakeholders across the business to understand customer behaviour, identify trends and turn data into clear commercial recommendations. This is a broad customer analytics role, covering the core areas of customer health, lifecycle, segmentation, profiling and behavioural analysis, with the opportunity to work on more advanced analytical projects. You will be responsible for interpreting complex data and presenting findings in a clear and impactful way, helping stakeholders understand what is happening with customers, why it is happening and what the business should do as a result.

You will:

• Deliver customer reporting and analysis across key customer health and performance metrics
• Conduct deep-dive analysis to understand customer behaviour and identify trends and opportunities
• Work on customer segmentation, profiling and grouping to support better commercial decision-making
• Translate complex analytical findings into clear, actionable insight and recommendations
• Apply statistical and advanced analytical techniques including regression, clustering, predictive modelling and campaign measurement
• Have an understanding of techniques such as k-means, random forest and linear regression, with the ability to interpret and utilise modelling outputs
• Support forecasting and optimisation activity across the wider analytics function
• Work closely with stakeholders across customer, marketing, commercial and other business functions
• Help stakeholders make better decisions based on customer data and real-time events
• Communicate analytical findings effectively to both technical and non-technical audiences
• Support the continued development of the customer analytics capability across the business

The role is particularly suited to someone who enjoys taking a commercial question, interrogating the data and turning it into a clear story and recommendation.

Your Skills & Experience

• Strong experience working in Customer Analytics / Customer Insight
• Strong SQL skills and experience working with large datasets
• Strong data visualisation and presentation skills
• Experience with customer segmentation, profiling and behavioural analysis
• Experience applying advanced analytical techniques such as regression, clustering and predictive modelling
• Understanding of statistical or data science techniques and the ability to interpret model outputs
• Strong stakeholder management and communication skills
• Comfortable translating complex analysis into clear commercial recommendations
• A genuine interest in customer behaviour and how this impacts sales, loyalty, retention and long-term customer value
• Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial

The successful candidate will be a strong all-round insight person: technically capable, commercially minded and confident communicating their findings to stakeholders.

The Benefits

• £45,000-£50,000

How to Apply

If you’re an experienced Customer Analyst with strong SQL, insight and stakeholder management skills, and you’re looking for a role where your analysis can directly influence commercial decisions, I’d be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

To Apply for this Job Click Here

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Digital Analyst – 12-Month FTC

London (Hybrid – 2x Days a Week in Office)

£45,000-£55,000

The Company

A leading UK financial services and wellbeing business is looking for a Digital Analyst to join its Marketing & Digital Analytics function on a 12-month fixed-term contract. The business has a broad digital estate spanning its website, online quote and buy journeys, digital tools, web forms and logged-in customer platforms. The Digital Analytics team works closely with product, marketing and acquisition teams to understand digital behaviour and identify opportunities to improve customer journeys and conversion. This is a 12-month FTC role, with the potential for the successful candidate to move into a permanent opportunity if they perform well during the contract.

The Role

This is a hands-on Digital Analyst position with a strong focus on GA4, GTM and digital analytics. You will support product teams across a variety of functions, as well as marketing, acquisition and CRO teams. You’ll use digital data to identify opportunities, make recommendations and help improve digital experiences and conversion. This is not a pure GTM implementation role; they are looking for a well-rounded Digital Analyst who is comfortable with both tracking and analysis.

You will:

• Analyse website and app data to identify customer and commercial opportunities.
• Support product teams with insight that feeds into development roadmaps and optimisation programmes.
• Work with marketing and acquisition teams to understand digital performance.
• Support the CRO team with analytics and make recommendations to improve conversion.
• Identify opportunities for testing and experimentation.
• Manage and maintain tracking through Google Tag Manager.
• Work with data layers, tags, triggers and custom variables.
• Support Google Analytics 4 and wider digital measurement.
• Identify and troubleshoot tagging and data quality issues.
• Present insights and recommendations to stakeholders across the business.
• Work across multiple datasets and projects, prioritising work according to business requirements.

Your Skills & Experience

• Strong hands-on Google Analytics 4 experience.
• Good experience with Google Tag Manager, including tags, triggers, custom variables and data layers.
• Proven experience in digital / web analytics.
• Ability to turn digital behaviour into clear, actionable recommendations.
• Strong stakeholder management and communication skills.
• Experience working with product, marketing, acquisition or CRO teams.
• Good understanding of conversion optimisation and digital customer journeys.
• Looker Studio experience would be beneficial.
• Power BI is also relevant.
• SQL / BigQuery is a nice-to-have rather than essential.
• Experience with app analytics or digital product analytics would be advantageous.
• Experience with Mixpanel would be useful.
• Adobe Analytics experience could also be relevant.

The Benefits

• £45,000-£55,000

How to Apply

If you’re an experienced Digital Analyst with strong GA4 and GTM skills and are looking for a role where you can work across product, marketing, acquisition and CRO, please apply now

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Senior Analytics Engineer

Permanent | £90,000 Base + Quarterly Bonus + Benefits
Fully Remote (UK) | Quarterly Travel to Brighton

An exciting opportunity has arisen for an experienced Senior Analytics Engineer to join a growing organisation that places data at the heart of business decision-making.

The Role:

As a Senior Analytics Engineer, you will lead the delivery of analytics and data solutions across a range of business initiatives. Working closely with technical and non-technical stakeholders, you will design data models, build transformation frameworks, develop reporting solutions, and ensure data is trusted, accessible, and aligned with business objectives.

Key Responsibilities:

* Design and deliver scalable analytics and data engineering solutions.
* Develop data models, transformation pipelines, and semantic layers.
* Translate business requirements into robust, scalable data solutions.
* Lead technical workshops and stakeholder discussions.
* Drive data quality, testing, documentation, and governance standards.
* Identify and proactively manage project risks and blockers.
* Mentor colleagues and contribute to the wider data function.

About You:

* Strong experience in Analytics Engineering, Data Engineering, BI, or similar roles.
* Advanced SQL and data modelling capabilities.
* Experience with cloud data platforms and data warehousing technologies.
* Strong understanding of ETL/ELT frameworks and analytics engineering best practices.
* Experience with source control, CI/CD, and modern development practices.
* Excellent stakeholder management and communication skills.

Desirable:

* Google Cloud, BigQuery, dbt, Looker, or similar modern data stack technologies.
* Cloud or analytics certifications.
* Experience in fast-paced, project-driven environments.

What’s on Offer:

* £90,000 base salary
* Quarterly performance bonus
* Comprehensive benefits package
* Fully remote working within the UK
* Quarterly travel to Brighton
* Opportunity to work on high-impact, business-critical data initiatives

To Apply for this Job Click Here

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Senior Data Architect

Permanent | £90,000 + Benefits | Leeds (1 day per month onsite)

An exciting opportunity has arisen for an experienced Senior Data Architect to join a large-scale organisation undergoing a significant data transformation programme.

Reporting into senior technology leadership, you’ll be responsible for shaping and delivering the enterprise data architecture strategy, ensuring data governance, quality, modelling, and standards are aligned to business objectives. You’ll work across technology and business functions, providing architectural leadership on critical initiatives and helping unlock greater value from data across the organisation.

The Role:

• Define and maintain enterprise data architecture standards, policies, and governance frameworks.
• Own logical and physical data models, metadata, data flows, and data lifecycle management.
• Lead architectural assurance across strategic projects and programmes.
• Drive best practice across data modelling, master data management, metadata management, integration, migration, and analytics.
• Assess emerging technologies and industry trends to help shape future data strategy.
• Provide expert guidance to technology and business stakeholders.
• Identify opportunities to maximise business value through effective use of data.
• Promote data architecture best practice through mentoring and thought leadership.

Requirements:

• Proven experience in a Senior Data Architect or similar enterprise-level role.
• Strong expertise in data governance, data quality, metadata management, data integration, analytics, and data security.
• Advanced knowledge of conceptual, logical, and physical data modelling.
• Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies, ontologies, and enterprise data models.
• Strong understanding of data management disciplines including master data management and metadata management.
• Experience working with relational databases, APIs, transactional systems, and analytical platforms.
• Ability to translate complex business requirements into scalable data solutions.
• Excellent stakeholder management and communication skills.
• DAMA certification or equivalent would be advantageous.

What Will Make You Stand Out:

• Experience within Financial Services, Banking, Insurance, FinTech, or other highly regulated industries.
• Exposure to enterprise-scale data transformation programmes.
• Strong understanding of regulatory, compliance, and risk management requirements.
• DAMA certification, membership, or other recognised data management qualifications.
• Experience establishing or enhancing enterprise data governance frameworks.
• Proven track record of influencing senior stakeholders and driving strategic data initiatives.
• Experience leading architectural assurance across complex, business-critical projects.

If you are interested in the role, please apply. To follow up please email or message me on LinkedIn.

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Data Engineer

Up to £45,000 + Benefits
Liverpool (Hybrid, 1 day per week in the office)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and maintaining data pipelines across a modern Microsoft and cloud-based data platform. You’ll work within a growing Data Engineering team and play a key role in shaping the future of the company’s data infrastructure.

THE COMPANY:

Our client delivers a wide range of services designed to transform people’s lives and strengthen communities. As the organisation continues investing in its data capabilities, they are expanding their Data Engineering team.

THE ROLE:

You will take ownership of developing and maintaining scalable data solutions across a modern Azure, Snowflake, and Fabric ecosystem. Key responsibilities include:

• Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake.
• Developing and supporting data warehousing solutions and dimensional data models.
• Creating and optimising datasets to support reporting, analytics, and business insights.
• Supporting the ongoing migration and development of solutions within Microsoft Fabric.
• Collaborating with analysts and stakeholders to deliver high-quality, trusted data assets and documentation.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data engineering experience, ideally 1-2 years in a dedicated engineering role.
• Building and maintaining ETL / ELT pipelines.
• Data warehousing concepts and dimensional modelling.
• Strong SQL skills and experience working within cloud-based data environments.

THE BENEFITS:

You will receive a salary of up to £45,000 depending on experience, along with an excellent benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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