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ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £80,000

This is an exciting opportunity to join a well-established, data-driven organisation investing heavily in its analytics capabilities. You’ll play a central role in shaping the data models, reporting infrastructure, and analytical foundations that support decision-making across multiple business functions.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain scalable data models using dbt
• Develop and optimise ELT/ETL processes for analytical use cases
• Support the organisation’s Looker environment, including LookML development
• Work closely with Data Engineering teams to prepare and model data effectively
• Build reliable, well-documented datasets that analysts can confidently consume
• Implement data quality checks, testing, and monitoring processes
• Support analytics projects across marketing, product, commercial, and operational teams
• Contribute to the development of AI-enabled analytics capabilities and conversational analytics tooling
• Identify opportunities to automate, optimise, and improve existing workflows

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in Analytics Engineering, Data Engineering, or modern BI development
• Advanced SQL skills with the ability to write efficient, scalable queries
• Hands-on experience with dbt
• Experience with GCP
• Experience with Airflow
• Strong experience building and maintaining ELT/ETL pipelines
• Experience working with Looker and LookML
• Knowledge of dimensional modelling and analytics best practices
• Experience collaborating with both technical and non-technical stakeholders
• Experience working with AI tooling

APPLY BELOW

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Operations Analytics and Insight Lead

Up to £100,000

London/Hybrid

The overview

This is an opportunity to lead a high-impact analytics function within a fast-paced, data-driven organisation. Combining hands-on analytics leadership with strategic influence, you will help shape operational decision-making, drive automation initiatives, and play a key role in the development of AI-powered products and processes.

The Company

They are a well-established digital business with a large international customer base and a strong commitment to data and technology. Analytics sits at the heart of commercial and operational decision-making, with significant investment being made in data capabilities, automation, and AI.

Operating in a dynamic and fast-moving environment, they offer the opportunity to work with large-scale customer and operational datasets while partnering closely with senior stakeholders across the business. Their analytics function is mature, collaborative, and focused on delivering measurable business impact.

The Role

As the Operations Analytics and Insight Lead, you will combine people leadership, hands-on analysis, and strategic planning to improve operational performance and support business growth.

Key responsibilities include:

• Leading and developing a team of analysts while supporting their technical and professional growth
• Setting the analytics strategy for operational functions and influencing senior stakeholder decision-making
• Creating frameworks to measure operational performance and identify opportunities for improvement
• Bringing structure and prioritisation to a reactive analytics environment
• Delivering hands-on analysis, including experimentation, A/B testing, and statistical evaluation
• Automating manual reporting and analytical processes to improve efficiency and scalability
• Supporting AI and chatbot initiatives by developing operational context and performance insight
• Providing analytics and measurement frameworks for internal AI and copilot tools
• Working closely with operational leaders to shape roadmaps and prioritise analytical delivery

Your Skills & Experience

• Strong commercial experience leading analytics teams and developing analytical capability
• Advanced SQL skills with the ability to remain hands-on in technical delivery
• Experience influencing senior stakeholders and translating analysis into business action
• Strong statistical knowledge, including experimentation and significance testing
• Experience working within fintech, financial services, or another regulated environment
• Practical experience using AI tools to improve processes, productivity, or decision-making
• Ability to balance strategic thinking with day-to-day analytical execution
• Experience working with analysts and technical data teams such as analytics engineering is advantageous
• Exposure to operational analytics, customer service analytics, workforce management, process optimisation, or KYC analytics is beneficial
• Experience with tools such as Looker, dbt, Airflow, and Git is advantageous

What They Offer

• Salary of £100,000 plus bonus and benefits
• Hybrid working model with three days per week in the office
• Leadership responsibility for an established analytics team
• Significant exposure to senior stakeholders and business strategy
• The opportunity to influence AI, automation, and chatbot initiatives
• A highly visible role with genuine scope to shape how analytics supports operational performance
• Strong long-term career development within a data-centric organisation

How to Apply

If you are an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to learn more about this opportunity.

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Analytics Engineer (DBT, GCP, LOOKER)

Permanent Role

£70,000-£80,000 + Benefits
London – Hybrid (3 days per week)

I am currently recruiting for an Analytics Engineer to join a leading global organisation within their growing Data & Analytics function.

This is a hands-on role where you will take ownership of the modelled data layer, working with dbt and BigQuery to build the data products that underpin reporting, self-service analytics and data activation across the business.

You will work closely with Data Engineering, analysts and wider stakeholders, helping to evolve the data warehouse into a scalable global platform and shaping best practices around data modelling, quality and documentation.

The Role:

• Design, build and maintain staging, mart and analytics models using dbt and BigQuery
• Develop scalable data models supporting multiple regions and entities
• Build and maintain data models powering Looker / LookML
• Implement data quality through dbt testing, monitoring and alerting
• Work with Data Engineering around upstream dependencies and data contracts
• Maintain data lineage, documentation and metric definitions
• Review SQL and dbt work and help improve modelling standards
• Optimise query performance, costs and deployment workflows
• Support the use of AI / LLM tools on top of well-modelled data

What we’re looking for:

• 3+ years’ experience across Analytics Engineering, Data Engineering or BI Development
• Strong SQL skills with experience building production data models
• Hands-on experience with dbt, including models, tests, macros and documentation
• Strong production experience with BigQuery
• Experience using Python for data work and automation
• Experience with Airflow or Cloud Composer
• Strong understanding of dimensional data modelling
• Experience with Looker / LookML or a similar BI platform
• Good understanding of Git and modern data development practices

Desirable:

• Wider GCP experience
• Experience working with Kafka / event data
• Experience migrating or restructuring data warehouses
• Experience supporting global or multi-region data platforms
• Interest in AI / LLM applications within data and analytics

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

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Analytics Engineer

Up to £80,000

London/Hybrid

The Overview

This is an excellent opportunity for an Analytics Engineer to join a highly data-driven organisation where analytics is central to commercial decision-making. You’ll focus on building scalable data models, improving analytics capabilities, and helping shape the foundations that enable analysts and stakeholders to make better decisions across the business.

The Company

They are a well-established, technology-led business operating at scale, with a strong focus on digital products, customer experience, and data-driven growth.

Data and analytics are heavily invested in across the organisation, creating a collaborative environment where engineering and analytics teams work closely together. With a mature analytics function and ambitious data initiatives, this is an opportunity to make a meaningful impact while working on high-value projects.

The Role

As an Analytics Engineer, you will be responsible for designing and maintaining analytical data models that support reporting, decision-making, and advanced analytics across the organisation.

Key responsibilities include:

• Building and maintaining robust data models and ELT/ETL pipelines using dbt and SQL
• Collaborating closely with Data Engineering teams to ensure data is structured and prepared for analytical use
• Supporting analysts through Looker and LookML development
• Delivering data solutions aligned to business projects and strategic initiatives
• Improving automation and processes related to analytics and AI-enabled tools
• Working with orchestration technologies and supporting wider analytics engineering initiatives
• Contributing to the scalability and reliability of the organisation’s analytics foundations

Your Skills & Experience

To be successful in this Analytics Engineer role, you should have:

• Strong commercial experience building and maintaining ELT/ETL pipelines
• Advanced SQL skills and confidence working with large-scale datasets
• Hands-on experience with dbt
• Strong experience with Looker and LookML
• Experience developing analytical data models for business and analytics users
• Ability to collaborate effectively with both technical and non-technical stakeholders

Experience with any of the following would be beneficial:

• Google Cloud Platform (GCP)
• Airflow, Cloud Composer, or similar orchestration tools
• Kafka
• Analytics-focused AI applications, conversational analytics, or chatbot context management
• Modern cloud-based data environments

What They Offer

• Salary of up to £80,000
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model with three days per week in the office
• Exposure to large-scale data and analytics projects
• Opportunities to work with modern data technologies and AI-enabled analytics solutions
• The chance to influence analytical best practices and contribute to the growth of a mature analytics function

How to Apply

If you’re an Analytics Engineer with strong SQL, dbt, Looker, and LookML expertise and are looking for an opportunity to work on impactful analytics engineering projects, please apply today.

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Operations Analytics and Insight Lead
London (Hybrid) | £100,000 + Bonus + Benefits

If you’re looking for a leadership role that combines hands-on analytics, strategic influence, people management, and emerging AI initiatives, this is an excellent opportunity. You’ll play a key role in shaping how a data-driven organisation uses analytics to improve operational performance, automate processes, and support AI-enabled products.

The Company
They are a well-established, technology-led organisation with a large and engaged customer base. Analytics is a core function within the business, supporting decision-making across operations, customer experience, and commercial strategy. They continue to invest heavily in data, automation, and AI capabilities, creating an environment where analytics leaders can make a visible impact. The culture is fast-paced, collaborative, and focused on continuous improvement.

The Role
You will lead a team of analytics professionals while remaining closely involved in the technical delivery of analytical projects.
Key responsibilities include:

• Leading, coaching, and developing a team of analysts and technical specialists
• Shaping the analytics roadmap and partnering with senior stakeholders to prioritise business needs
• Developing frameworks to measure operational performance and identify opportunities for improvement
• Delivering hands-on analysis, including experimentation, statistical testing, and operational insight generation
• Influencing senior leaders through data-driven recommendations and strategic thinking
• Automating manual processes and improving analytical ways of working
• Supporting AI and chatbot initiatives by building operational context and measurement frameworks
• Providing insight into the performance and adoption of internal AI tools and copilots
• Driving a more structured, scalable approach within a fast-moving operational environment

Your Skills & Experience

• Strong commercial experience in analytics leadership and people management
• Advanced SQL skills with the ability to remain hands-on technically
• Experience leading analytical initiatives that influence operational or commercial strategy
• Strong statistical knowledge, including experimentation and significance testing
• Experience working with stakeholders at multiple levels, including senior leadership
• Ability to balance strategic planning with day-to-day delivery
• Experience using AI tools to improve processes and productivity
• Exposure to regulated industries such as financial services, fintech, insurance, telecommunications, or similar environments is advantageous
• Experience with modern analytics tools such as Looker, dbt, Airflow, or Git is beneficial
• Background in operational analytics, customer service analytics, workforce management, process optimisation, or related areas is highly desirable

How to Apply
If you’re an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to discuss this opportunity in more detail.

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Full Stack Engineer (React / TypeScript / Java)

Up to £85,000 + Benefits

Hybrid Working | London | 2 Days per Week in Office

We’re working with a fast-growing WealthTech business that is transforming the way individuals and families engage with their finances through innovative technology and exceptional user experiences.

They’re looking for a Full Stack Engineer to join a highly collaborative engineering team building and enhancing a modern web platform. This role is approximately 65% Frontend and 35% Backend, making it ideal for engineers who enjoy creating outstanding user experiences while remaining hands-on across the full stack.

The Role

You’ll join a cross-functional squad responsible for delivering new features, improving platform performance, and helping shape technical decisions across the product.

The role has a strong frontend focus, but you’ll also contribute to backend services and APIs, working within a modern cloud-native environment.

A key aspect of the engineering culture is the use of AI-assisted development tools, so candidates must already be comfortable incorporating AI into their daily workflow for coding, testing, and productivity.

Essential Requirements

• Strong commercial experience with React
• Strong commercial experience with TypeScript
• Commercial backend development experience with Java
• Experience working with Spring / Spring Boot
• Hands-on experience using AI-assisted development tools as part of the software development lifecycle
• Experience developing and consuming APIs
• Understanding of software engineering best practices, testing, and clean code principles
• Experience working within Agile environments

Nice to Have

• Kotlin experience
• AWS experience
• Docker and Kubernetes
• Microservices architecture
• Event-driven systems (Kafka or similar)
• GraphQL

What You’ll Get

• Salary up to £85,000
• Hybrid working (2 days per week in London)
• Private healthcare
• Pension contribution
• 25 days holiday
• Regular team socials
• Clear progression opportunities within a growing engineering organisation

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Data Engineering Lead

London (Hybrid)

Up to £90,000 + 20% Bonus

We’re partnering with a rapidly growing consumer brand that’s investing heavily in data and looking for its first Data Engineering Lead to build the foundations of a modern, data-driven organisation.

This is a rare opportunity to join a business at a pivotal stage of growth and take ownership of the entire data landscape, from platform architecture and data pipelines through to governance, reporting and future team expansion.

The Role

You’ll be responsible for designing and scaling the company’s data platform, bringing together data from multiple sources and creating a single source of truth for reporting and decision-making. You’ll work closely with senior stakeholders across the business and play a key role in shaping the long-term data strategy.

Key responsibilities include:

• Building and maintaining scalable ETL/ELT pipelines
• Developing and optimising a cloud-based data platform within BigQuery
• Owning data quality, governance, security and access controls
• Delivering trusted reporting and analytics capabilities
• Managing external data and analytics partners
• Enabling self-service analytics across the business
• Driving adoption of AI-enabled analytics and decision-making tools
• Helping build and lead the data function as the company grows

Requirements

We’re looking for engineers who enjoy combining deep technical expertise with commercial impact.

You’ll ideally have:

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Strong BigQuery experience
• Experience with dbt or similar transformation tooling
• Experience working with cloud data platforms
• Excellent stakeholder management skills
• The ability to operate autonomously and thrive in a fast-paced environment
• Previous experience in Data Engineering, Analytics Engineering or Data Leadership roles

Nice to Have

• E-commerce, retail or DTC experience
• Experience with Shopify, Amazon or marketing platforms
• Exposure to attribution, tracking or customer analytics
• Experience implementing data governance frameworks
• Exposure to AI, LLMs or modern analytics tooling
• Previous team leadership experience

Why Join?

• Up to £90,000 base salary
• 20% bonus
• Opportunity to become the company’s first dedicated data leader
• Significant ownership and autonomy
• Direct exposure to senior leadership
• Clear pathway to build and lead a team
• Chance to shape the future of a high-growth business from the ground u

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Senior AI Software Engineer

London (Hybrid, 3 days per week)

Up to £140,000 + Equity

We’re partnered with a fast-growing AI start-up building cutting-edge behavioural intelligence technology for the financial services sector. Backed by an exceptional leadership team and industry experts, they’re developing a platform that helps organisations better understand client behaviour through advanced AI and large language models.

As their first senior individual contributor engineering hire, you’ll play a critical role in shaping both the product and engineering culture from the ground up.

The Opportunity

This is a true 0-to-1 product engineering role. You’ll work closely with senior leadership to build and scale a greenfield product, taking ownership across the full stack while driving the architecture and evolution of production-grade AI systems.

You’ll have significant influence over technical direction, engineering standards, product decisions and future hiring as the team grows.

What You’ll Be Doing

• Building and shipping customer-facing product features end-to-end
• Developing and scaling production LLM applications
• Owning RAG pipelines and AI application architecture
• Implementing guardrails, evaluations, caching and model routing strategies
• Working across TypeScript, React, Node.js, PostgreSQL and AWS (Open to different technology backgrounds!)
• Building API-first services for enterprise customers
• Establishing engineering best practices around testing, deployment and code quality
• Collaborating directly with product and leadership stakeholders to influence roadmap and delivery priorities

What We’re Looking For

• Experience building and scaling production LLM-powered applications
• Strong full-stack engineering background
• Experience delivering secure, reliable and scalable systems
• Comfortable working across multiple technologies and learning new stacks quickly
• Experience with React and modern web applications
• Product-minded approach with the ability to operate autonomously
• Passion for building in an early-stage, high-growth environment
• Experience within regulated industries or financial services is beneficial but not essential

Why Join?

• Up to £140,000 base salary
• Meaningful equity package
• Opportunity to become the first senior engineering hire
• Direct impact on architecture, product and company direction
• Work alongside talent from leading technology and AI organisations
• Greenfield product with genuine product ownership
• Hybrid working in Central London
• 25 days holiday plus additional benefit

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Data Engineer

London – 4-5 Days per Week in Office

£70,000-£90,000 + Equity + Benefits

We’re working with a rapidly growing, YC-backed healthcare AI startup building a market-leading data platform used by pharmaceutical, biotech and healthcare organisations.

The Opportunity

This is not a role where you’ll maintain legacy pipelines or work on a small corner of an established platform. The team is specifically looking for engineers who have experience taking products, platforms or major features from 0-1.

You should be able to demonstrate that you’ve:

• Built something from scratch rather than simply maintained existing systems
• Worked through ambiguity with limited requirements
• Designed architecture and made key technical decisions
• Owned delivery from idea through to production
• Worked closely with product teams, users or founders to shape solutions
• Shipped products that generated real business value

The successful candidate will help build and scale the core data infrastructure powering the company’s platform, taking ownership of projects from raw data acquisition all the way through to production-ready products.

What You’ll Be Doing

• Building scalable ETL/ELT pipelines using Python and SQL
• Designing and developing data ingestion frameworks
• Working with large, complex and often messy datasets
• Leveraging AI and LLM technologies for extraction, classification and enrichment
• Building data products that directly support customers
• Designing schemas, entity resolution and data quality processes
• Collaborating closely with engineering, product and leadership teams
• Taking projects from concept through to production deployment

What We’re Looking For

Essential

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Proven ownership of end-to-end engineering projects
• Experience building products, platforms or major capabilities from 0-1
• Ability to operate independently in a fast-moving environment
• Strong problem-solving skills and technical foundations

Highly Desirable

• Startup or scale-up experience
• Experience working directly with founders or product teams
• LLMs, AI tooling or prompt engineering exposure
• Data acquisition, scraping or ingestion experience
• Snowflake, Databricks or modern cloud data platforms
• Experience turning technical outputs into customer-facing products

The Person

We’re looking for someone who enjoys building rather than maintaining.

You’ll thrive here if you get energy from starting with a problem, designing a solution and seeing it through to production. The ideal candidate will have a track record of operating in environments where ownership is high, processes are light, and shipping quickly matters. Years of experience are less important than evidence of what you’ve actually built.

Package

• £70,000-£90,000 base salary
• Opportunity to join a high-growth, YC-backed startup
• Significant ownership and autonomy
• Chance to help shape the future of a data-first AI product
• 4-5 days per week in the London office

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Data Engineer
London (1 day per month in office)
Up to £60,000 + Benefits

This is an excellent opportunity for a Data Engineer to join a growing Business Intelligence function and play a key role in shaping analytics and reporting capability across the business. You’ll work with modern data technologies, build scalable solutions, and help drive data-led decision making across the organisation.
The Company
They are a growing organisation investing heavily in their data and analytics capabilities to support business performance and strategic decision making. Their Business Intelligence team is focused on delivering high-quality, scalable data solutions that empower stakeholders with reliable insights. This is a collaborative environment where data plays a central role in driving business success.
The Role
You will:

• Build and maintain reliable data pipelines that integrate, clean, and structure data from multiple sources.
• Design and optimise data models to support reporting and analytics requirements.
• Create scalable data assets that enable business teams to generate actionable insights.
• Implement data quality controls, validation processes, and error handling to ensure data integrity.
• Work closely with stakeholders to understand requirements and deliver impactful data solutions.
• Contribute to the continued development of reporting and analytics capabilities across the business.

Your Skills & Experience

• Strong commercial experience in data engineering and data integration.
• Hands-on experience with DBT.
• Advanced SQL skills for data transformation and automation.
• Experience working with Snowflake and cloud-based data platforms.
• Strong understanding of data modelling and data warehousing concepts.
• Experience building dashboards and reports using Power BI.
• Knowledge of data quality assurance, validation processes, and troubleshooting.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Salary up to £60,000.
• Comprehensive benefits package.
• Hybrid working with just one day per month in the London office.
• Opportunity to work with modern data technologies in a growing data function.
• Clear opportunities for career progression and professional development.
• The chance to shape data solutions that deliver measurable business impact.

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Director of Product Engineering
London | Up to £150,000
Hybrid (4 Days per Week in Office)

This is an exceptional opportunity for a senior technology leader to shape the future of a growing Data & AI business. You’ll play a pivotal role in building and scaling a high-performing Product Engineering function, driving the development of innovative data-driven products used by enterprise clients.

The Company
This organisation develops sophisticated products that combine customer data, advanced analytics, AI, and software applications to help businesses make better commercial decisions. With an established client base and ambitious growth plans, they are investing heavily in their engineering capability to create scalable, repeatable, and reliable product solutions. Their culture values technical excellence, innovation, and continuous improvement, providing a strong platform for senior leaders to make a meaningful impact.

The Role
You will:

• Lead multidisciplinary teams across Data Science, Data Engineering, Platform Engineering, and Application Development.
• Drive technical strategy, architecture, and engineering excellence across the product portfolio.
• Own the end-to-end delivery of scalable, production-ready data and AI solutions.
• Provide hands-on technical leadership through architecture reviews, problem-solving, technical validation, and code reviews where appropriate.
• Build strong engineering practices across software development, data platforms, testing, deployment, and operational support.
• Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement.
• Champion the adoption of AI-enabled development practices to improve quality and delivery speed.
• Collaborate with senior stakeholders and enterprise clients to provide technical leadership on complex initiatives.
• Influence the evolution of cloud, data, and application platforms, ensuring they support future growth.

Your Skills & Experience

• Strong experience leading engineering, data, and analytics teams within a product-led environment.
• Commercial expertise across software engineering, data engineering, and data science functions.
• Hands-on knowledge of cloud technologies, particularly Azure and modern data platforms.
• Strong understanding of Python, SQL, data architecture, distributed systems, and production environments.
• Experience delivering machine learning, AI, or advanced analytics solutions into production.
• Ability to balance strategic leadership with technical involvement in complex projects.
• Strong stakeholder management skills with experience engaging both technical and executive audiences.
• Passion for building teams, improving engineering standards, and driving organisational change.

What They Offer

• Salary up to £150,000.
• Hybrid working with four days per week in their London office.
• Significant influence over technology strategy, architecture, and product direction.
• Opportunity to build and scale a high-performing Product Engineering organisation.
• Exposure to cutting-edge AI, machine learning, and data-driven product development.
• Excellent career progression within a rapidly growing business.

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PRINCIPAL CONSULTANT, CREDIT RISK & ANALYTICS

LONDON | £90,000 – £120,000 + BONUS + BENEFITS

This is an exciting opportunity to join a specialist financial services consultancy in a senior leadership role. You’ll lead high-profile credit risk and analytics engagements and play a key role in growing both the team and the wider practice.

THE COMPANY

They are an established consultancy specialising in risk, analytics, and data-driven decision making across financial services. Working with a broad range of lending and financial services clients, they deliver high-impact projects spanning risk modelling, portfolio analytics, forecasting, and business strategy.

THE ROLE

* Gain exposure with key stakeholders while also retaining ownership of project delivery

* Manage projects end to end across credit risk modelling, forecasting, portfolio analytics, and strategy development

* Opportunity to contribute to overall business management

* Mentor and develop consultants and analysts across the team

* Contribute to the growth and strategic direction of the wider business

YOUR SKILLS & EXPERIENCE

* Strong commercial experience within credit risk analytics, consumer lending, or SME lending

* Deep expertise in credit risk modelling, customer analytics, forecasting, portfolio analysis, or risk strategy

* Proven experience managing analytical projects and leading teams

* Strong technical skills in SQL, SAS, or Python

– Excellent communication skills with the ability to translate analytical insights into commercial recommendations

* Previous consulting experience is beneficial but not essential

WHAT THEY OFFER

* £90,000 – £120,000 base salary depending on experience

* Annual bonus scheme

* Contributory pension

* Hybrid working model

* Exposure to a diverse range of high-impact client projects

* Clear progression opportunities within a growing consultancy

* Collaborative and supportive culture with a strong focus on professional development

HOW TO APPLY

Please register your interest by sending your CV through the Apply link.

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