data & AI
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Data Engineer – Saas – healthcare

Eindhoven – Netherlands | €64,000

Azure – Python – SQL

This is an opportunity to join a growing data team where you will play a key role in building scalable data solutions that power business reporting, analytics, and decision-making. You’ll work with modern cloud technologies and have direct influence on the evolution of the data platform.

The Company

They are a technology-led organisation investing heavily in data and analytics capabilities. With a strong focus on data quality, scalability, and governance, they are building a modern data environment to support business growth and innovation. Collaboration, ownership, and continuous improvement are central to their culture.

The Role

Design and develop scalable data pipelines and ETL processes
Build and maintain analytical data models and semantic layers
Create robust, secure, and high-performing datasets for reporting and analytics
Optimise data platform performance, reliability, and cost efficiency
Implement data governance, quality controls, and security best practices
Partner closely with analysts and stakeholders to translate business requirements into technical solutions

Your Skills & Experience

Strong commercial experience in Data Engineering
Advanced SQL skills and experience with Python or PySpark
Experience building ETL pipelines and dimensional data models
Knowledge of modern cloud data platforms, lakehouse architectures, or similar environments
Understanding of data governance, security, and performance optimisation
Strong communication skills and the ability to work with both technical and non-technical stakeholders

What They Offer

Competitive salary and benefits package
Opportunity to work with modern data technologies
High-impact role with ownership and autonomy
Collaborative and supportive team environment
Clear opportunities for professional development and career progression

How to Apply

If you’re interested in building scalable data solutions and driving the growth of a modern data platform, apply today.

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Customer Selections & Analytics Consultant (12 Month FTC)
Stratford-upon-Avon – 2x a month in office
Up to £50,000

Looking for a role where you can combine customer analytics, SQL, campaign targeting and stakeholder engagement? This opportunity offers the chance to join a growing analytics function, delivering impactful customer selections and performance insights that directly influence marketing and business decision-making. You’ll work across customer data, campaign analytics and reporting, helping drive more effective customer engagement strategies.

The Company
They are a well-established organisation with a strong focus on customer experience and data-driven decision-making. Continued investment in analytics and customer insight has created an opportunity for a Customer Selections & Analytics Consultant to join their team on a 12-month fixed-term contract.

Working within a collaborative analytics environment, you will partner with stakeholders across the business to support customer targeting, campaign optimisation and strategic decision-making through data.

The Role
As a Customer Selections & Analytics Consultant, you will:

• Build and deliver customer selections using SQL for marketing, customer and service communications.
• Translate campaign briefs into technical requirements and actionable data solutions.
• Work with multiple customer datasets to create accurate and compliant audience selections.
• Develop, maintain and enhance dashboards used to evaluate campaign performance.
• Analyse test-and-learn activity and identify opportunities to improve campaign effectiveness and ROI.
• Generate clear, actionable insights that support customer targeting strategies.
• Partner with business stakeholders to understand requirements and deliver against campaign objectives.
• Present technical findings and recommendations to non-technical audiences.
• Support quality assurance processes to ensure outputs meet business and regulatory requirements.
• Collaborate with wider analytics teams to continuously improve selection and evaluation processes.
• Manage multiple projects and priorities while meeting agreed timelines.

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

• Strong commercial SQL experience.
• Experience in customer selections, campaign analytics, CRM analytics or customer data environments.
• Experience working with and combining multiple datasets.
• Data visualisation experience, ideally using Power BI.
• Strong stakeholder management and communication skills.
• The ability to translate technical outputs into clear business recommendations.
• Experience presenting insights to support business decision-making.
• Strong attention to detail and a focus on data quality.
• Experience working within a regulated or compliance-driven environment would be beneficial.

What They Offer

• Exposure to customer analytics, campaign optimisation and wider data initiatives.
• Opportunities to develop expertise across customer analytics, customer targeting and data-driven marketing.
• Collaborative and supportive team environment.

How to Apply
If you’re an analytically minded SQL professional with experience in customer selections, campaign analytics or customer data, please get in touch to learn more about this opportunity.

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Operations Analytics Lead

£90,000-£100,000 + Bonus

London (Hybrid – 3x Days a Week in Office)

The Company

A leading global fintech is looking for an Operations Analytics Lead to join a high-performing Data & Insights function. This is a fast-moving, technology-led financial services business with a strong focus on data, digital products and improving customer experiences. The Operations function spans areas including Customer Experience, KYC and Client Onboarding, Payments, Transaction Reporting and AI Operations; Analytics sits at the heart of how the business measures performance, identifies opportunities and makes strategic decisions.

The Role

This is a senior, hands-on analytics leadership position combining people management, strategic thinking and technical delivery. You’ll lead a team of around 4-5 analysts, while remaining approximately 60% hands-on yourself. The team has an existing roadmap, but this role will bring greater structure and prioritisation, helping move the function away from reactive requests towards a more strategic, commercially focused approach. You’ll work closely with senior stakeholders across Operations, challenging priorities, defining the right questions and using data to influence decisions. A major part of the role will be around AI and automation. You’ll help measure the impact of AI-enabled operational tools, support the development of internal copilots and ensure that AI initiatives are backed by robust analytical frameworks. You’ll also work across areas such as workforce analysis, customer-service operations, KYC and operational efficiency.

Your Skills & Experience

• Proven experience managing an analytics team
• Strong SQL skills
• Strong statistical understanding, including A/B testing, experimentation and statistical significance.
• Experience developing analytical frameworks and using data to influence business strategy.
• Comfortable being hands-on while also setting direction and influencing senior stakeholders.
• Practical experience using AI tools such as Copilot or Claude to improve processes or analytical workflows.
• Experience within financial services, fintech or another regulated environment is highly desirable.
• Python experience is preferred.
• Experience with dbt, Airflow and Git would be advantageous.
• Experience with Looker, Tableau or another enterprise BI platform.
• Background in operational analytics, workforce management, customer service, KYC or similar environments would be beneficial.
• The ability to turn a reactive analytics function into a more structured, prioritised roadmap.

The Benefits

• £90,000-£100,000
• 15-25% bonus

How to Apply

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 Data Architect

Los Angeles, CA

$220-260k base + bonus

We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.

This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.

What You’ll Be Doing

• Design conceptual, logical, and physical data models across enterprise data platforms
• Build dimensional models using Kimball, 3NF, Data Vault, and related approaches
• Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design
• Establish Unity Catalog standards for governance, lineage, access control, and data organization
• Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance
• Build data architecture standards, naming conventions, metadata frameworks, and data quality controls
• Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions
• Support security and privacy controls across sensitive enterprise data
• Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads
• Support downstream ML, GenAI, and RAG use cases through well designed data foundations

What We’re Looking For

• Strong enterprise Data Architecture or Data Modeling experience
• Deep hands on experience with Databricks and Delta Lake
• Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault
• Experience designing medallion architecture in Databricks
• Strong Unity Catalog experience across governance, lineage, and access controls
• Strong SQL skills and familiarity with enterprise data modeling tools
• Experience with Azure data platforms
• Strong understanding of data governance, security, privacy, metadata, and data quality
• Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture
• Comfortable operating independently in environments where standards and frameworks are still being built

Nice to Have

• Experience within financial services, private equity, asset management, or alternative investments
• Knowledge of investment data including funds, investors, NAV, capital calls, and distributions
• Experience building architecture standards from scratch
• Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs
• Experience supporting AI, ML, or GenAI workloads
• Databricks, Azure, or TOGAF certifications

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Director of AI

US Remote (EST/CST preference)

$225-275k base + 20% bonus (no equity)

We’re partnering with a global travel management organization that is making a significant investment in AI and is looking for a Director of AI to lead the next stage of that journey.

This is a hands-on leadership role focused on building and scaling agentic AI across the business, from internal productivity and workflow automation through to customer facing AI products.

You’ll own the AI roadmap, technical architecture, team, vendor strategy, governance, and budget, while staying close enough to the technology to guide design and implementation decisions.

What You’ll Be Doing

• Define and deliver the agentic AI strategy across the organization
• Build the frameworks and architecture that intelligent agents operate within, including tool access, context management, control flow, guardrails, and error handling
• Set standards around MCP, A2A, RAG, evaluation, and production readiness
• Build AI into customer facing products and operational workflows
• Drive internal productivity through copilots, automation, and AI enabled tools
• Own model strategy, including provider selection, model routing, self-hosting, and inference cost
• Lead AI governance, security, privacy, and regulatory readiness
• Build and lead a global team of full time and contract engineers
• Own vendor relationships and make build versus buy decisions

What We’re Looking For

• Strong background in software engineering, AI engineering, machine learning, or applied AI
• Hands on experience building and shipping production AI systems, including agentic applications
• Strong understanding of RAG, MCP, A2A, model orchestration, evaluation, and agent security
• Experience leading technical teams and influencing senior stakeholders
• Strong engineering fundamentals across architecture, CI/CD, cloud infrastructure, and production systems
• Good understanding of the current model landscape across frontier and open weight models
• Experience working with enterprise governance, cybersecurity, privacy, and AI regulation
• Comfortable balancing strategy with hands on technical involvement

Nice to Have

• Experience building ML models beyond API based applications
• Background in Data Science or Machine Learning
• Experience in travel, hospitality, logistics, or another operationally complex industry
• Experience with workflow automation platforms such as n8n
• Experience with ISO/IEC 42001 or EU AI Act readiness
• Experience running AI systems in multi-tenant, customer facing environments

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Analytics Engineer

US Remote (EST/CST preference)

$110-130k base

We’re partnering with a global travel management organization that is making a significant investment in its data and analytics capabilities and is looking for an Analytics Engineer to help build and scale its next generation analytics platform.

The role sits across data engineering, analytics, and product, turning complex data into trusted, scalable analytics products used by teams internally and by customers around the world.

What You’ll Be Doing

• Build and maintain analytical data models that support reporting, dashboards, and customer facing data products
• Transform raw data into clean, reliable, and reusable datasets
• Develop semantic models and consistent business metrics across the organization
• Build dashboards, visualizations, and embedded analytics experiences
• Partner with business, product, IT, and engineering teams to understand requirements and deliver scalable data solutions
• Improve the performance, reliability, and usability of analytics products
• Support data quality, governance, documentation, and compliance
• Help establish best practices around testing, version control, and analytics engineering workflows

What We’re Looking For

• Strong SQL skills and experience working with large, complex datasets
• Hands on experience with dbt, including building, testing, documenting, and maintaining transformation models
• Experience building analytical and semantic data models
• Strong understanding of the full data lifecycle, from pipelines and warehousing through to reporting and analytics
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Azure Data Lake
• Experience with BI platforms such as Looker, Tableau, or Power BI
• Experience with Python, Scala, R, or another language used in data and analytics engineering
• Understanding of data quality, query performance, testing, and optimization
• Strong communication skills and the ability to work with both technical and non technical stakeholders

Nice to Have

• Experience building embedded analytics or customer facing data products
• Exposure to React, Vue.js, or other frontend technologies
• Experience with APIs and application integrations
• Experience with data governance, security, or compliance frameworks
• Experience working across AWS, Azure, or GCP

This is a great opportunity for someone who enjoys combining strong technical analytics skills with an engineering mindset and wants to help shape a modern, scalable analytics platform.

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AI Product Manager

San Francisco

$200-250k base + bonus (No equity)

We’re partnering with a fast-growing financial services business that is using AI to fundamentally rethink how core business processes operate.

The company already has production AI agents live across credit and underwriting workflows and is now expanding that approach across Sales, Customer Lifecycle, Finance, and Capital Markets.

This is not a traditional product management role focused on feature backlogs and incremental improvements. The remit is to work directly with business teams, understand how processes operate today, and redesign them from the ground up using AI.

The Opportunity

You’ll work directly on a core AI initiative, owning projects from discovery through launch.

You’ll partner with business teams to understand their processes, identify where AI can help, and turn those needs into clear product requirements.

You’ll then work closely with engineering teams to bring those solutions into production.

It’s a high ownership role with strong exposure to senior stakeholders and a great opportunity to build deeper AI product experience.

What You’ll Be Doing

• Lead discovery sessions with business teams to understand existing workflows, pain points, exceptions, and opportunities for AI
• Translate complex business problems into clear AI product designs and technical briefs
• Reimagine workflows from first principles rather than simply automating existing processes
• Define product requirements, acceptance criteria, quality controls, and evaluation frameworks
• Manage specialist engineering partners through the build and delivery process
• Partner with Data Science and Engineering teams to define evaluation metrics, golden datasets, and production readiness standards
• Coordinate testing, shadow runs, and go live activity for new AI products
• Work closely with end users to drive adoption and ensure products solve genuine operational problems
• Measure post launch impact against defined baselines and identify opportunities for continued iteration

What We’re Looking For

• 3 to 5 years of experience across Product Management, Product Analysis, or a similar product focused role
• Hands on exposure to AI enabled products, LLM applications, or AI agents
• Strong experience running discovery with business stakeholders and turning ambiguous problems into structured solutions
• Ability to create clear product artefacts including process maps, requirements, design briefs, and specifications
• Comfortable working with engineers and challenging technical solutions when they do not align with the product intent
• Strong written communication and structured problem solving skills
• Comfortable operating independently in ambiguous, fast moving environments

Ideally You’ll Also Have

• Experience within an AI native, fintech, lending, or high growth technology environment
• Exposure to AI agents, LLM powered products, or workflow automation
• Experience managing external engineering partners or vendors
• Strong instincts around when AI genuinely adds value versus when a simpler solution is more appropriate
• Experience taking AI products from discovery through production and adoption

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Senior Risk Analyst

West Midlands | £45,000 to £57,000

An opportunity for a Senior Risk Analyst to join a technically focused credit risk team, using data, coding and analytics to shape lending strategies. This role offers more technical exposure than a traditional banking risk position and would suit someone keen to explore how AI and emerging analytical tools can improve the way they work.

The Company

They are an established financial services organisation with a strong focus on data-led credit risk management. Their risk function combines commercial decision-making with hands-on analytics and coding. You will work across consumer lending portfolios in an environment that encourages new ideas, technical development and continuous improvement.

The Role

• Develop and optimise acquisition and customer management credit risk strategies.
• Analyse portfolio performance and identify emerging trends and risks.
• Use SAS, SQL or Python to interrogate data and deliver analytical insights.
• Support scorecards, policy rules, pricing, affordability and limit strategies.
• Present recommendations and insights to senior stakeholders.
• Support and develop junior analysts.

Your Skills & Experience

• Strong experience within consumer credit risk analytics.
• Coding experience using SAS, SQL or Python.
• Strong analytical and statistical skills.
• Knowledge of the credit lifecycle and consumer lending products.
• Experience with modelling, forecasting, pricing or affordability is beneficial.
• Enthusiasm for AI tools, automation and new ways of enhancing analytical work.

What They Offer

£45,000 to £57,000 salary.

Hybrid working, 3 days per week.

A more technical environment than a typical banking risk role.

Exposure to senior stakeholders and strategic credit decisions.

Opportunities to develop your technical and leadership skills.

How to Apply

Apply by clicking the link below.

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