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Analytics Engineer

£70,000 – £80,000 + Benefits | Permanent | Hybrid, South East London (3 Days per Week Onsite)

The Role:

• Own the end-to-end data lifecycle, from ingestion and transformation through to reporting and insights delivery.
• Build and maintain scalable data pipelines to support business-wide reporting and analytics.
• Develop robust data models using modern cloud-based technologies and analytics engineering best practices.
• Create dashboards, KPI reporting, and self-service analytics solutions.
• Partner with stakeholders to translate business requirements into data-driven solutions.
• Drive continuous improvements in data quality and reporting capabilities.

Requirements:

• Strong experience in Analytics Engineering, Data Engineering, BI, or similar roles.
• Advanced SQL skills.
• Hands-on Python experience.
• Expertise with dbt and cloud data warehouses.
• Experience building dashboards and reporting solutions.
• Excellent stakeholder communication skills.

What Will Make You Stand Out:

• Experience in a high-growth environment.
• Knowledge of Google Cloud and BigQuery.
• Experience across the full analytics stack.
• Commercially minded approach to problem solving.
• Ability to work autonomously and collaboratively.

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analytics Consultant

£60,000 + Benefits | Permanent | Hybrid London (2-3 Days per Week Onsite)

The Role

• Partner with stakeholders to understand reporting, analytics, and business intelligence requirements.
• Deliver data-driven insights that support business performance and strategic decision-making.
• Design and develop reporting solutions, dashboards, and self-service analytics capabilities.
• Lead client-facing projects from requirements gathering through to delivery.
• Present reporting outputs and recommendations to both technical and non-technical audiences.
• Drive improvements in reporting processes, data accessibility, and operational efficiency.

Requirements

• 5+ years’ experience in analytics, reporting, business intelligence, or data consulting roles.
• Advanced SQL skills with experience across modern database platforms.
• Strong experience building dashboards and reporting solutions using tools such as Tableau, Power BI, Looker, or similar.
• Experience with data modelling, transformation, and reporting automation.
• Ability to work with large and complex datasets to generate meaningful business insights.
• Excellent stakeholder management and communication skills.
• Experience managing projects and engaging directly with senior business stakeholders.

What Will Make You Stand Out

• Experience delivering analytics solutions within a consulting or client-facing environment.
• Expertise with Google Sheets and the wider Google Workspace ecosystem.
• Experience building scalable KPI frameworks and self-service reporting solutions.
• Knowledge of cloud data platforms such as BigQuery, Snowflake, or similar.
• Exposure to supply chain, forecasting, inventory, or operational reporting.
• Strong analytical mindset with the ability to translate data into actionable recommendations.

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analytics Consultant

London/Hybrid

Up to £65,000

The Overview

Looking to take the next step in your analytics consulting career? This is an opportunity to join a leading global data and AI consultancy, working with high-profile international clients to solve complex commercial challenges through data-driven insights. You’ll combine technical analytics expertise with stakeholder engagement, influencing business decisions and delivering measurable impact.

The Company

They are a global consultancy specialising in data analytics, artificial intelligence, and decision science. Partnering with some of the world’s most recognised organisations, they help businesses unlock growth, improve performance, and make smarter commercial decisions through advanced analytics. Their collaborative environment brings together analytics consultants, data scientists, engineers, and business stakeholders to deliver high-value outcomes. With strong investment in people and career development, they offer excellent opportunities for progression within a growing international business.

The Role

As a Senior Data Analytics Consultant, you will bridge the gap between technical delivery and business strategy, helping clients translate data into actionable commercial recommendations.

Responsibilities include:

• Leading conversations with client stakeholders and developing a deep understanding of business objectives
• Translating analytical findings into clear recommendations and commercial actions
• Managing client relationships and acting as a trusted advisor throughout engagements
• Analysing large, complex datasets to identify trends, risks, and growth opportunities
• Building and maintaining SQL-based analytical solutions
• Creating dashboards and reporting tools using modern BI platforms
• Harmonising multiple data sources to support scalable analysis
• Applying statistical and analytical techniques to understand performance drivers
• Delivering insight-led presentations to both technical and non-technical audiences
• Coordinating with analytics and delivery teams to ensure successful project outcomes
• Managing project milestones, risks, and stakeholder communication

Your Skills & Experience

• Strong SQL skills with experience working on large datasets
• Commercial experience in data analytics, business intelligence, or analytics consulting
• Proven ability to engage and influence stakeholders at multiple levels
• Experience presenting insights and recommendations to business audiences
• Strong understanding of consumer, sales, marketing, or commercial performance data
• Experience using Tableau, Looker, or a similar BI platform
• Ability to explain the drivers behind business performance and translate data into action
• Strong communication and storytelling skills with a consultative approach
• Experience working in client-facing environments

Desirable experience:

• Retail, consumer, or commercial analytics experience
• Forecasting, planning, or revenue analytics exposure
• Consulting or professional services background
• Experience with Python or R

What They Offer

• Salary of £60,000 to £65,000
• Hybrid working model with 2 to 3 days in the London office
• Visa sponsorship available
• Exposure to large-scale international analytics projects
• Clear opportunities for career progression and professional development
• Collaborative environment with access to experienced analytics and AI specialists
• Opportunity to influence strategic business decisions for major global organisations

How to Apply

If you’re passionate about combining analytics expertise with stakeholder engagement and commercial problem-solving, apply today to learn more about this Senior Data Analytics Consultant opportunity in London.

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To Apply for this Job Click Here

DATA ENGINEER

up to £60,000 + Benefits
Kent (Hybrid)
This is a great opportunity to join a growing organisation where you can take ownership of customer and business data, helping to drive insight-led decision making across the company.

THE COMPANY:

This organisation operates a nationwide retail network and serves a large customer base across multiple locations throughout the UK. Following significant investment in data, the business is focused on improving customer lifecycle analysis, commercial performance, and operational insight.
With established processes, clear ways of working, and a mature business environment, this offers an excellent opportunity for a Data Engineer looking to make a meaningful impact within a growing data function.

THE ROLE:

You’ll be responsible for building and maintaining data solutions that support both strategic business requirements and customer-focused analytics initiatives.
Key responsibilities include:

• Designing and maintaining robust data pipelines.
• Developing scalable data models within Snowflake.
• Supporting business stakeholders with trusted, accessible data.
• Delivering transformations and workflow automation using modern data tooling.
• Collaborating with analytics teams to enhance reporting and business insight capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Snowflake
• SQL
• dbt
• Fivetran
• Power BI

THE BENEFITS:

You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

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

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

up to £60,000 + Benefits
Kent (Hybrid)
This is a great opportunity to join a growing organisation where you can take ownership of customer and business data, helping to drive insight-led decision making across the company.

THE COMPANY:

This organisation operates a nationwide retail network and serves a large customer base across multiple locations throughout the UK. Following significant investment in data, the business is focused on improving customer lifecycle analysis, commercial performance, and operational insight.
With established processes, clear ways of working, and a mature business environment, this offers an excellent opportunity for a Data Engineer looking to make a meaningful impact within a growing data function.

THE ROLE:

You’ll be responsible for building and maintaining data solutions that support both strategic business requirements and customer-focused analytics initiatives.
Key responsibilities include:

• Designing and maintaining robust data pipelines.
• Developing scalable data models within Snowflake.
• Supporting business stakeholders with trusted, accessible data.
• Delivering transformations and workflow automation using modern data tooling.
• Collaborating with analytics teams to enhance reporting and business insight capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Snowflake
• SQL
• dbt
• Fivetran
• Power BI

THE BENEFITS:

You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

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

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA PLATFORM ARCHITECT

up to £100,000 + Benefits
London (Hybrid)

This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation.

THE COMPANY:

Our client is a highly recognised international digital business with a strong consumer presence and a global audience. Operating across multiple regions, the organisation has invested heavily in its data capabilities and is continuing to transform how data powers decision-making, customer experiences and emerging AI initiatives.
As part of a wider data and technology transformation, they are looking for an experienced Data Platform Architect to help shape the future of their data ecosystem and engineering standards.

THE ROLE:

You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:

• Designing and evolving the organisation’s cloud-based data platform architecture
• Assessing and recommending new technologies, tools and data solutions across the business
• Defining architectural standards, best practices and reusable patterns across engineering teams
• Supporting data governance, security, metadata and data quality initiatives
• Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
• Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
• Driving improvements around data lineage, observability, modelling standards and platform governance
• Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
• Strong experience with Terraform and Infrastructure as Code (IaC)
• Commercial experience using dbt within modern ELT ecosystems
• Strong understanding of DataOps, CI/CD and engineering best practices
• Experience working with governance, security, privacy or risk functions
• Excellent stakeholder management skills with the ability to influence, coach and educate technical team

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in shaping a modern, AI-ready data platform.

HOW TO APPLY:

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across a large, commercially focused organisation.

The Role
You will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges.
Responsibilities include:

• Leading the design and delivery of production-grade Generative AI and AI-powered solutions
• Owning architecture decisions across AI products and platforms
• Building and deploying LLM, RAG, and agentic AI systems at enterprise scale
• Evaluating build versus buy approaches and making pragmatic technology recommendations
• Working closely with engineering, security, governance, and business stakeholders
• Driving technical standards, best practices, and reusable AI frameworks
• Supporting and mentoring engineers across multiple workstreams
• Contributing to AI strategy and helping prioritise high-value use cases
• Ensuring solutions are scalable, secure, observable, and production-ready

Your Skills & Experience
You will bring:

• Strong commercial experience delivering Generative AI solutions into production
• Proven capability leading end-to-end AI projects from discovery through deployment
• Deep understanding of LLMs, RAG architectures, agentic AI, orchestration, prompting, and evaluation
• Strong software engineering foundations, including APIs, cloud architectures, and system design
• Experience making architecture and technology decisions within complex environments
• Ability to operate effectively in ambiguous and rapidly evolving problem spaces
• Experience collaborating with security, governance, compliance, and data protection teams
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience within enterprise-scale organisations, ideally in regulated environments
• Exposure to AWS and modern AI engineering practices is highly desirable

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD DATA ENGINEER (Azure)

Uo to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most recognisable cultural organisations as they embark on a major data transformation programme. You’ll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.

THE COMPANY:

Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.

THE ROLE:

You will take ownership of designing, building and evolving the organisation’s modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
Key responsibilities include:

• Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
• Building scalable and reliable data pipelines using a Medallion architecture approach
• Designing robust data models and semantic layers across multiple business domains
• Establishing engineering best practices, governance frameworks and development standards
• Managing and developing a small team of data engineers
• Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
• Enabling high-quality downstream reporting, analytics and Power BI semantic models
• Supporting long-term data innovation and AI initiatives across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong expertise in dimensional data modelling and semantic layer design
• Hands-on experience with Microsoft Fabric and/or Azure Data Services
• Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
• Strong stakeholder management and communication skills
• Previous experience managing, mentoring or leading teams, with at least two direct reports

THE BENEFITS:

You will receive a salary up to £75,000 dependent on experience, alongside a comprehensive benefits package.

HOW TO APPLY:

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

To Apply for this Job Click Here

To Apply for this Job Click Here

FULL STACK ENGINEER (AI-NATIVE)

Up to £85,000 + Benefits
London (Hybrid, 2 Days per Week)

This is a great opportunity to join a high-growth fintech scale-up where you can take ownership of customer-facing products whilst working in an AI-first engineering environment. You’ll help build technology that combines financial data, analytics, and behavioural insights to deliver meaningful outcomes for end users.

THE COMPANY:

This rapidly growing WealthTech business is transforming how individuals engage with their financial lives through innovative technology, sophisticated analytics, and exceptional user experience. Backed by leading investors and operating in a scale-up environment, the business is building a platform that provides users with a complete view of their financial world alongside personalised insights and recommendations.
The engineering function operates through cross-functional Agile squads and is heavily focused on leveraging AI to increase engineering productivity and innovation.

THE ROLE:

You will take ownership of software within one of the engineering squads, contributing across both front-end and back-end development while working alongside product, engineering, and technical operations teams.
Key responsibilities include:

• Building and enhancing customer-facing web applications.
• Developing scalable features using React, JavaScript and TypeScript.
• Contributing to backend services built with Kotlin and Spring.
• Leveraging AI tools and agentic development workflows as part of your day-to-day engineering process.
• Working within Agile Scrum teams to plan, develop, test and release software.
• Collaborating on APIs, microservices and event-driven architectures.
• Driving software quality, performance, security and scalability.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Java and Kotlin backend development on the Spring stack.
• React, JavaScript and TypeScript.
• AI-assisted development, particularly using Claude and agentic engineering workflows.
• CI/CD pipelines, automated testing and API integrations.
• AWS, Docker and/or Kubernetes.
• Jira, Agile methodologies and collaborative software delivery.

THE BENEFITS:

You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
Please note: Sponsorship is not available for this position.

HOW TO APPLY:

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer
up to £55,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.

THE COMPANY

Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.

THE ROLE

You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

• Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
• Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
• Building and maintaining data models using dbt to support analytics and reporting requirements.
• Supporting the development of AI-driven data products and semantic layers.
• Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python development.
• Advanced SQL.
• Building and maintaining data pipelines.
• Data modelling and warehousing fundamentals.
• dbt or similar modern transformation frameworks
• Experience with AWS data services.
• Exposure to Kafka, Spark, streaming data, or modern BI tools.
• Interest in AI, analytics engineering, and data products

THE BENEFITS

You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer
up to £55,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.

THE COMPANY

Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.

THE ROLE

You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

• Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
• Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
• Building and maintaining data models using dbt to support analytics and reporting requirements.
• Supporting the development of AI-driven data products and semantic layers.
• Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python development.
• Advanced SQL.
• Building and maintaining data pipelines.
• Data modelling and warehousing fundamentals.
• dbt or similar modern transformation frameworks
• Experience with AWS data services.
• Exposure to Kafka, Spark, streaming data, or modern BI tools.
• Interest in AI, analytics engineering, and data products

THE BENEFITS

You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer
up to £55,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.

THE COMPANY

Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.

THE ROLE

You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

• Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
• Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
• Building and maintaining data models using dbt to support analytics and reporting requirements.
• Supporting the development of AI-driven data products and semantic layers.
• Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python development.
• Advanced SQL.
• Building and maintaining data pipelines.
• Data modelling and warehousing fundamentals.
• dbt or similar modern transformation frameworks
• Experience with AWS data services.
• Exposure to Kafka, Spark, streaming data, or modern BI tools.
• Interest in AI, analytics engineering, and data products

THE BENEFITS

You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

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

To Apply for this Job Click Here