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Solution Architect / Technical Lead

Amsterdam, Netherlands

€100,000 – €140,000 + Benefits

Competitive Freelance Day Rate

This is an opportunity to shape the future of knowledge-driven solutions within a leading international professional services environment. Working at the intersection of knowledge graphs, AI, data architecture, and enterprise technology, you will play a key role in designing and delivering strategic platforms that enable smarter access to information across a global organisation.

The Company

They are a well-established international organisation with a strong reputation for innovation and excellence. Operating across multiple jurisdictions, they invest heavily in technology, data, and AI to enhance the services they provide to clients worldwide.

As part of a growing digital and data function, they are building advanced knowledge management capabilities and modern information architectures. This role will be instrumental in defining how knowledge graph technologies support enterprise search, AI applications, and data-driven decision-making.

The Role

As a Solution Architect / Technical Lead, you will provide technical leadership for the design and implementation of knowledge graph solutions across the organisation.

Key responsibilities include:

• Define and lead the architecture for enterprise-scale knowledge graph platforms
• Work closely with business stakeholders, data teams, and technology teams to translate requirements into technical solutions
• Design semantic data models, ontologies, and graph-based information architectures
• Lead technical delivery across internal teams and external partners
• Drive best practice in knowledge representation, metadata management, and data governance
• Support the integration of knowledge graphs with AI, machine learning, search, and analytics platforms
• Provide architectural guidance on cloud infrastructure, scalability, security, and performance
• Influence technology strategy and roadmap decisions relating to knowledge and AI capabilities
• Mentor engineers and technical specialists while promoting engineering excellence

Your Skills & Experience

• Strong commercial experience designing and delivering knowledge graph solutions
• Expertise with graph databases and semantic technologies such as RDF, OWL, SPARQL, or similar frameworks
• Experience developing enterprise data architectures and information management solutions
• Strong understanding of ontology design, taxonomy management, and knowledge representation
• Experience integrating knowledge graphs with AI, NLP, search, or machine learning applications
• Ability to lead technical discussions with both business and technical stakeholders
• Experience working within complex, international enterprise environments
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud
• Excellent communication and stakeholder management skills
• Previous experience in legal, professional services, financial services, or other knowledge-intensive sectors is advantageous but not essential

What They Offer

• Permanent salary of €100,000 – €140,000 depending on experience
• Alternatively, a competitive freelance day rate for contract candidates
• Opportunity to shape a strategic knowledge graph capability from the ground up
• Exposure to large-scale international programmes focused on AI, data, and digital transformation
• Flexible and hybrid working arrangements in Amsterdam
• Access to senior stakeholders and meaningful architectural decision-making
• Long-term career progression within a growing data and technology function

How to Apply

If you are a senior Solution Architect or Technical Lead with strong knowledge graph expertise and are interested in driving enterprise-scale data and AI initiatives in Amsterdam, please apply to discuss the opportunity further.

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QA Automation Engineer
London (Hybrid, 2 days per week) | Up to £75,000
Join a growing technology business that is investing heavily in AI-assisted engineering, automation, and modern software development. This is an opportunity to play a key role in shaping quality engineering practices while helping launch and scale a new client-facing platform.
The Company
A fast-growing technology business in the financial services space, developing innovative products that help users make more informed financial decisions. They operate with cross-functional engineering squads and a strong focus on innovation, automation, and continuous improvement.
The Role

• Build and improve automation frameworks for web applications and APIs
• Develop automated regression and functional testing solutions
• Support the delivery of a new client-facing web platform
• Work closely with developers and product teams to improve software quality
• Use AI tools to accelerate testing, debugging, and test creation
• Contribute to CI/CD processes and testing strategy

Your Skills & Experience

• Strong QA automation engineering experience
• Expertise in API and UI testing
• Experience with Playwright, Selenium, or similar tools
• Knowledge of Java or Kotlin
• Strong understanding of HTML, CSS, JavaScript, and SQL
• Experience with CI/CD pipelines and Agile environments
• Comfortable using AI tools within an engineering workflow

What They Offer

• Salary up to £75,000
• Hybrid working with flexibility
• 25 days annual leave
• Enhanced parental leave
• Pension and salary sacrifice schemes
• Private healthcare options
• Study support and professional development
• Mental health and wellbeing support
• Dog-friendly office
• Potential equity review after probation

How to Apply
Apply today to learn more about this opportunity and discuss whether it could be the right next step in your career.

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Senior Analytics Consultant
Remote (UK) | £70,000 – £90,000 + Quarterly Bonus + Commission Opportunities
Are you a Senior Analytics Consultant looking to work on complex, high-impact analytics projects with leading organisations? This is an opportunity to join a specialist data consultancy where you’ll have significant ownership, direct client exposure, and the chance to shape modern analytics solutions using some of the most sought-after technologies in the market.
The Company
They are a specialist data and analytics consultancy focused on helping organisations design, build and scale modern analytics capabilities. Working across a broad range of industries, they partner with clients to deliver cloud-based analytics platforms, semantic modelling, governance frameworks and AI-enabled analytics solutions.
The business has built a strong reputation through delivery excellence, long-term client relationships and deep expertise across the modern data stack. Their collaborative culture provides consultants with direct access to clients, decision-makers and solution architecture responsibilities from day one.
The Role
You will work closely with clients to design and deliver modern analytics solutions while acting as a trusted consultant throughout the project lifecycle.
Responsibilities include:

• Delivering analytics and data engineering solutions using Google Cloud, BigQuery, dbt and Looker
• Designing scalable data models, semantic layers and reporting environments
• Leading technical discussions and workshops with client stakeholders
• Advising on analytics strategy, governance and self-service reporting capabilities
• Managing multiple client engagements and balancing competing priorities
• Supporting solution architecture and platform design decisions
• Identifying risks, resolving blockers and taking ownership of project outcomes
• Mentoring junior consultants and contributing to internal best practice initiatives
• Supporting business growth through client relationship management and opportunity identification
• Contributing to innovation initiatives across AI, conversational analytics and analytics engineering

Your Skills & Experience
To be successful in this Senior Analytics Consultant role, you will have:

• Strong commercial experience with Google Cloud Platform (GCP)
• Proven expertise in BigQuery, dbt and Looker
• Previous consulting or client-facing project delivery experience
• Excellent SQL and data modelling skills
• Experience building modern analytics and reporting solutions
• Strong stakeholder management and communication abilities
• Experience leading technical discussions with both technical and non-technical audiences
• Knowledge of Git, version control and CI/CD practices
• A proactive, ownership-focused approach to delivery
• Experience balancing multiple concurrent projects and deadlines

Experience with modern data stack tools, analytics governance or AI-enabled analytics solutions would be advantageous.
What They Offer

• Fully remote UK working model
• Quarterly team meetups
• Clear progression opportunities within a growing consultancy
• Exposure to cutting-edge analytics, semantic layer and AI projects

How to Apply
If you are an experienced Senior Analytics Consultant with strong Google Cloud, BigQuery, dbt and Looker expertise and are looking for a role that combines technical delivery, consulting and client leadership, apply today to learn more.

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QA Engineer

London (Hybrid, 2 days in office) | £65,000 – £85,000 + Benefits

If you’re a QA Engineer who is passionate about automation, AI-driven development, and building scalable testing frameworks from the ground up, this is an opportunity to have a genuine impact. You’ll join a growing technology team where quality engineering is seen as a key contributor to product success, with the freedom to shape automation strategy and reduce manual testing across a modern digital platform.

The Company

This innovative technology business develops a sophisticated platform that helps users gain greater visibility and insight into complex financial information. They operate in a product-led environment with cross-functional engineering squads focused on delivering high-quality digital experiences.

The business combines modern engineering practices, data-driven decision making, and a strong commitment to innovation. With significant investment in product development, they are continuing to scale their technology function and strengthen their quality engineering capability.

The Role

You will join a collaborative squad of engineers, product specialists, and quality professionals, taking ownership of automation testing and quality assurance across a modern web platform.

Responsibilities include:

• Designing and building automated testing frameworks from the ground up
• Developing automated UI and API test suites to improve product quality
• Testing frontend applications, backend services, and data flows
• Supporting regression testing for platform enhancements and integrations
• Creating scalable automation solutions that minimise manual testing
• Driving AI adoption within the testing lifecycle to increase efficiency
• Collaborating with developers and product teams to improve testability and quality standards
• Contributing to continuous improvement across QA processes and automation architecture
• Participating in Agile ceremonies, planning sessions, and technical discussions
• Supporting quality across a modern microservices-based environment

Your Skills & Experience

• Strong commercial experience with Java or Kotlin
• Proven background in QA automation engineering
• Experience with API testing using tools such as Rest Assured, Postman, Swagger or similar
• Hands-on UI test automation experience using Selenium, Playwright, Selenide, or comparable technologies
• Understanding of JSON, XML, HTTP protocols, and web application architecture
• Experience working with CI/CD pipelines and modern software delivery practices
• Strong knowledge of test frameworks such as JUnit or TestNG
• Familiarity with Jira, Confluence, and Agile delivery environments
• Ability to work across frontend and backend testing activities
• Experience using AI tools within engineering workflows, including Claude and N8N
• A mindset focused on automation, efficiency, and continuous improvement
• Knowledge of SQL and data validation techniques is advantageous
• Exposure to performance testing or microservices environments would be beneficial

What They Offer

• Electric car scheme, cycle to work scheme, nursery scheme, and gym benefits
• Professional development support, study assistance, and dedicated learning time
• Home working equipment provided where required
• Mental health and wellbeing support
• Regular team and seasonal social events
• Dog-friendly office environment
• Clear opportunities to influence automation strategy and grow your technical leadership skills

How to Apply

To find out more about this QA Engineer opportunity, please apply with your CV and a member of the Harnham team will be in touch to discuss the role in greater detail.

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I’m hiring a Customer Selections & Analytics Consultant for a long‑established UK insurance business that’s continuing to invest in its customer analytics and marketing capability.

This is a hands‑on SQL role focused on campaign targeting and performance analysis, sitting in a team that directly influences how the business engages and retains its customers.

The company

A well‑known UK insurer with a long history, now serving a wide range of customers across business, home, motor and pet insurance.

Data is central to how they grow and retain customers, with a strong focus on improving customer value and engagement through smarter targeting and insight.

The role

You’ll sit within a team of SQL‑driven analysts responsible for:

• Building the audiences for marketing campaigns
• Ensuring the right customers are targeted at the right time
• Analysing campaign performance and driving improvements

This is a true end‑to‑end CRM analytics role – from selection through to insight.

What you’ll be doing

• Build customer selections using SQL, based on campaign briefs
• Segment audiences to support targeted marketing activity (e.g. cross‑sell and retention campaigns)
• Work with stakeholders across the business to understand campaign requirements
• Analyse campaign performance and provide clear, actionable insight
• Present findings back to stakeholders to improve future campaigns
• Support the development of dashboards and reporting for campaign evaluation
• Help refine targeting approaches through continuous feedback and optimisation

What you bring

Must‑haves

• Strong SQL skills
• Experience in campaign selections / CRM / customer analytics
• Experience building audiences and segmenting customer data
• Experience analysing campaign performance and delivering insights
• Ability to work with stakeholders and explain results clearly
• Good communication and presentation skills

Nice to have

• Experience in insurance or regulated environments
• Experience with Power BI or other visualisation tools
• Understanding of test‑and‑learn / campaign optimisation approaches

Why this role

• Own end‑to‑end campaign analytics – not just reporting
• Work in a team that directly impacts customer strategy and revenue
• Strong bonus (17.5%) alongside salary
• Flexible hybrid working (1 day onsite)
• Fast interview process

Location

• Based in Stratford‑upon‑Avon
• 1 day per week onsite
• Commutable from Birmingham, Coventry, Warwick, Leicester, Nottingham, and surrounding areas

Interview process

• SQL test (sent upfront)
• Single competency interview
• Fast turnaround

If you have experience in CRM or campaign analytics and want a role where you can own both targeting and insight, this is a great opportunity.

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Data Engineering Lead

Competitive Salary + Benefits
London (Hybrid)

This is a great opportunity to join a high-growth consumer business where you can take ownership of building and scaling a company-wide data function from the ground up.

THE COMPANY:

This rapidly growing consumer brand has transformed its market through an innovative product offering sold internationally. The business has evolved from a direct-to-consumer e-commerce model into a sophisticated multi-channel organisation spanning e-commerce, retail, wholesale, subscriptions and strategic partnerships.

Having experienced significant year-on-year growth, the company is investing heavily in becoming a truly data-driven organisation, creating an opportunity for a data specialist to shape the future of analytics, reporting and decision-making across the business.

THE ROLE:

You will take ownership of the company’s data infrastructure, analytics capability and reporting landscape while helping to build a data-driven culture across the organisation.

Key responsibilities include:

• Designing, building and maintaining scalable data pipelines
• Developing and improving the data warehouse, semantic layer and reporting environment
• Supporting analytics, reporting and dashboard development across commercial teams
• Integrating new data sources, including subscription and operational data
• Driving automation, governance, documentation and data literacy across the organisation
• Managing relationships with external analytics partners and vendors
• Improving customer tracking and marketing analytics capabilities
• Supporting the adoption of AI-enabled analytics and reporting workflows

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• modern cloud data warehouse environments
• dbt, ETL/ELT pipelines and data integration
• BI reporting and dashboard development
• Data modelling, analytics and stakeholder management
• Commercial and customer data analysis
• Experience within e-commerce, DTC, SaaS or high-growth consumer businesses
• Experience building data functions in scaling businesses

THE BENEFITS:

You will receive a salary up to £90,000 depending on experience.

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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Director of Product Engineering

Up to £150,000 + benefits
London

This is a fantastic opportunity to join a high-growth AI SaaS company where you can take ownership of building and scaling a Product Engineering function that combines Data Science, Data Engineering, Platform Engineering and Application Development.

THE COMPANY:

Founded to help enterprises unlock the value of their first-party customer data, our client helps transform customer, behavioural and commercial data into actionable business intelligence. They are entering an exciting phase of growth as it evolves from project-led delivery to a scalable, repeatable product engineering model. This role will be central to shaping that transformation.

THE ROLE:

You will take ownership of the technical engineering capability, leading teams across Data Science, Data Engineering, Platform Engineering and Application Development while creating a scalable and repeatable delivery model.

Key responsibilities include:

• Building and scaling a high-performing Product Engineering function across multiple technical disciplines.
• Leading technical architecture, solution design and engineering decisions for customer-facing AI and data products.
• Acting as a senior technical representative with enterprise clients and translating complex technical concepts into commercial outcomes.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Leading and scaling technical functions within consulting, SaaS or service-based environments.
• Managing multidisciplinary teams across Data Engineering, Data Science and Software Engineering.
• Remaining technically credible with strong understanding of modern data ecosystems, architecture and engineering best practices.

THE BENEFITS:

You will receive a salary up to £150,000 depending on experience.

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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Senior AI Product Engineer

up to £140,000
London (Hybrid)
This is a fantastic opportunity to join an early-stage AI startup as one of its first engineering hires, taking ownership of a cutting-edge behavioural AI platform that is transforming how companies understand and engage with their customers.

THE COMPANY:

Our client is developing technology that helps their clients better understand not just what customers do, but why they make decisions. Their platform combines behavioural science and AI to provide actionable customer intelligence, enabling organisations to improve marketing, communications, customer support, and engagement strategies.

THE ROLE:

You will become the first senior individual contributor engineering hire, working closely with the VP of Product Engineering to build and scale the product from the ground up.

Key responsibilities include:

• Building and shipping AI-powered products end-to-end using LLM technologies.
• Owning and scaling the retrieval-augmented generation (RAG) and AI application layer.
• Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching, and token cost optimisation.
• Working across the stack, including backend services, APIs, cloud infrastructure, and selective frontend development.
• Establishing engineering best practices around testing, delivery, architecture, and code quality.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Building and scaling production LLM-enabled products from 0-to-1.
• Full-stack software engineering with strong backend expertise.
• Product ownership, architecture, and independent decision-making.
• Modern technologies including TypeScript, Node.js, React, PostgreSQL, AWS, and API-first architectures.
• LLM evaluation, token optimisation, cost management, monitoring, and deployment best practices.

THE BENEFITS:

You will receive a salary of up to £140,000 depending on experience.

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

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Senior Data Engineer / Analytics Engineer
Downtown San Francisco | Hybrid (4 days onsite)

What You’ll Do

Data Engineering & Infrastructure

• Design, build, and maintain data pipelines from ingestion through transformation and delivery
• Own data modeling and transformation across the firm’s core data sources
• Build and maintain a reliable, scalable data infrastructure from the ground up
• Ensure data quality, consistency, and governance across systems

Analytics & Business Partnership

• Serve as the primary technical translator between data systems and non-technical business stakeholders
• Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use
• Build reporting and analytics capabilities that give the business clear visibility into performance and client data
• Communicate complex data concepts in plain language – confidently and clearly

AI & Modern Tooling

• Leverage AI tools to improve productivity and analytical output – familiarity with tools like Glean expected
• Contribute to the firm’s evolving AI initiatives as they develop
• Stay current on relevant AI and data tooling and bring practical recommendations to the team

What We’re Looking For

Required

• Strong proficiency in Python and SQL
• Hands-on experience with data modeling, transformation, and pipeline development
• Ability to work independently as the primary or sole data practitioner – this is not a large team environment
• Confident communicator – comfortable presenting to and advising non-technical stakeholders including senior leadership
• High EQ – personable, collaborative, and able to build trust with people across the organization
• 4 days per week onsite availability in downtown San Francisco

Strongly Preferred

• Background in finance, wealth management, or financial services
• Experience at a private equity-backed company or PE rollup environment
• Familiarity with wealth management workflows, data structures, and reporting needs
• Experience as the sole or primary data person at a company – someone who has had to be resourceful, self-directed, and scrappy
• Exposure to AI tools in a professional context (Glean or similar)

Compensation

• Base salary: $185,000 – $235,000
• Discretionary bonus
• Downtown San Francisco office – hybrid, 4 days onsite per week

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This is an exciting opportunity to shape the future of CRM strategy within a growing research and insights business. Sitting at the centre of Sales, Marketing and Operations, you will combine strategic thinking with hands-on execution to drive adoption, efficiency and commercial performance.

Role:
They are a fast-growing data, research and analytics organisation serving a global client base. Their insights help businesses make informed commercial decisions across a range of industries.

As CRM Manager, you will be responsible for owning and developing the company’s internal CRM system, with a primary focus on HubSpot, which was implemented approximately six months ago.

Responsibilities include:

• Leading the CRM strategy and roadmap across sales, marketing and operational teams
• Acting as the internal HubSpot expert, driving adoption and best practice across the business
• Maintaining, enhancing and optimising HubSpot Sales Enterprise and Marketing Enterprise
• Building reporting frameworks and dashboards to provide meaningful commercial insights
• Developing and managing automation workflows to improve efficiency and reduce manual processes
• Working closely with stakeholders across Sales, Marketing, Operations and Finance to identify opportunities for further CRM development
• Ensuring data quality, governance and accurate reporting across the CRM platform
• Delivering HubSpot training and ongoing support to users across the organisation
• Managing integrations and exploring future platform enhancements to support business objectives

Your Skills & Experience

• Strong commercial experience managing and developing HubSpot CRM environments
• Experience owning CRM strategy while remaining hands-on with platform administration and optimisation
• HubSpot Marketing and Sales certification, or equivalent practical expertise
• Experience building automations, workflows, reporting and dashboards within HubSpot
• Knowledge of HubSpot
• Ability to work cross-functionally and influence stakeholders across multiple business areas
• Strong analytical skills with the ability to translate data into actionable business recommendations

How to Apply
To find out more about this CRM Manager opportunity, please submit your application today.

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Data Analyst – Up to 45k

This is an opportunity to work with a genuinely unique behavioural dataset, combining digital activity, consumer journeys and emerging AI interactions. You will help answer complex commercial questions for leading brands while shaping how data is used to understand real-world behaviour.

The Company
They are a specialist data and analytics business focused on understanding how advertising and digital experiences influence consumer behaviour. Their work blends advanced analytical techniques with rich, multi-source datasets to uncover insights that traditional approaches cannot provide. Operating as a close-knit team, they encourage new ideas and give individuals the autonomy to make a real impact. Their client base includes well-known organisations across media and consumer sectors.

The Role

You will work hands-on with large behavioural datasets, analysing how consumers interact across digital platforms, media channels and AI tools. Responsibilities include:

* Extracting, querying and analysing data using SQL
* Cleaning and structuring complex datasets for analysis
* Identifying patterns, trends and commercially relevant insights
* Delivering post-campaign analysis to evaluate performance
* Supporting bespoke analytical projects addressing business challenges
* Translating data into clear, client-ready insights and presentations
* Working across both quantitative and qualitative data sources
* Developing scalable analytical processes and methodologies
* Collaborating closely with senior stakeholders to evolve analytical outputs

Your Skills & Experience
* Strong commercial experience working in a hands-on data analysis role
* Advanced SQL skills for data extraction and manipulation
* Confidence working with large, complex datasets
* Strong Excel capability for analysis and data handling
* Ability to interpret data and communicate insights effectively
* Experience with quantitative analysis and problem-solving
* Curiosity and attention to detail when exploring new datasets
* Familiarity with modern AI or LLM tools and an interest in their application within analytics

What They Offer
* Salary up to £45,000
* Hybrid working model with regular collaboration in a London office
* Exposure to highly unique and innovative datasets
* Opportunity to work closely with senior leadership
* A fast-paced environment with strong ownership and career development potential

How to Apply
If you are a commercially minded Data Analyst looking to work with cutting-edge datasets, apply to find out more.

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