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Data Engineer

Redwood City, CA | Hybrid

Overview

A fast-growing, venture-backed company transforming the built environment is seeking a Data Engineer to join its expanding data team. This organization combines technology, operations, manufacturing, and project execution to deliver scalable physical products and services in a highly regulated industry.

As the second member of the data team, you will work closely with business stakeholders across operations, manufacturing, inventory management, project delivery, and corporate functions. This is an opportunity to take ownership of critical data infrastructure and have a direct impact on company growth.

What You’ll Do

• Own, maintain, and enhance approximately 20 existing data pipelines
• Design and build new data integrations to support business growth and operational scale
• Develop reliable ETL processes and ensure data quality across multiple source systems
• Create greater visibility into inventory, manufacturing, project execution, and operational performance
• Ingest and operationalize publicly available datasets to support strategic decision-making
• Partner with stakeholders across multiple departments to understand requirements and deliver actionable insights
• Monitor pipeline health, troubleshoot issues, and improve the reliability of data infrastructure
• Help establish scalable data practices within a small but growing team

What We’re Looking For

• 2-4 years of professional experience in Data Engineering, Analytics Engineering, or a related field
• Expert-level SQL skills
• Experience owning and maintaining production ETL/data pipelines
• Strong communication and stakeholder management skills
• Ability to thrive in a fast-paced environment with evolving priorities
• Broad technical exposure and a generalist mindset, with experience solving a variety of business problems
• Demonstrated ability to work independently with a high degree of ownership

Nice to Have

• Experience working with ERP systems, particularly in operational or supply-chain environments
• Experience with transactional databases and source-system design considerations
• Proficiency with Python
• Experience with Spark, dbt, Databricks, and/or TypeScript
• Experience integrating APIs and external data sources
• Public GitHub projects demonstrating data engineering, ingestion, or pipeline development work

Location

The position is based in Redwood City, California with a hybrid schedule.

Tuesday through Thursday are required onsite, with flexibility on Monday and Friday.

Compensation

$120,000-$140,000 base salary + equity

Candidates must be authorized to work in the United States without current or future visa sponsorship.

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Senior Analytics Engineer

Oxford (Hybrid, 2 days per week) | Up to £65,000

No sponsorship offered

This is an opportunity to join a growing data function within an organisation undergoing significant international expansion. As data volumes and regional coverage continue to increase, the team are investing in their platform and looking for an experienced Analytics Engineer to help improve data processing, reduce latency, and support the evolution of their cloud-based data environment.

The Company

They are a growing organisation with an established data function supporting business operations across multiple regions. Data is central to their continued growth, and they are investing in technology and people to enhance their capabilities.
The wider team consists of Data Engineering, Data Acquisition, and Analytics professionals who work closely together to deliver scalable, high-quality data solutions.

The Role

You will take ownership of data initiatives for a specific region and play a key role in developing and improving the organisation’s data platform.

Key responsibilities include:

• Building and maintaining ELT pipelines across the Azure ecosystem
• Developing solutions using SQL, Azure Data Factory and Microsoft Fabric
• Supporting data migration and modernisation projects
• Improving data quality, processing efficiency and reliability
• Working with legacy data models and integrating new solutions
• Developing and supporting Power BI reporting capabilities
• Performing data cleansing and transformation using notebooks within ADF
• Collaborating with Data Engineering, Data Acquisition and Analytics teams
• Contributing to architectural discussions and technology decisions
• Delivering solutions within Agile and Scrum environments

Your Skills & Experience

• You will have strong commercial experience with:
• SQL, with advanced query writing and optimisation skills
• Microsoft technology stack development
• Azure Data Factory (ADF)
• Microsoft Fabric
• Azure cloud technologies
• ELT pipeline development and maintenance
• Data migration projects
• Data cleansing and transformation processes
• Legacy data models
• Power BI reporting

What They Offer

• Salary up to £65,000
• Hybrid working with flexibility around office attendance
• Opportunity to take ownership of a regional data estate
• Exposure to platform modernisation and data migration projects
• Collaborative team environment with close interaction across Data Engineering, Analytics and Data Acquisition
• Opportunity to influence data delivery and technical direction

How to Apply

If you’re an Analytics Engineer with strong SQL, Azure Data Factory, Microsoft Fabric and Azure experience, apply today to learn more about this opportunity.

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Senior Product Manager, Collections & Recoveries

Remote within UK

£80-£100,000 + benefits

This is an opportunity to take ownership of a critical product area within a mission-led, African-founded fintech . You’ll shape the future of collections and recoveries, bringing a strategic vision to a growing team while delivering meaningful outcomes for both customers and the business.

The Company

Our client is a technology-driven financial services business focused on delivering accessible, responsible financial products to underserved markets. They combine data, digital platforms, and customer-centric thinking to support sustainable growth for their customers.

As the business continues to scale, they are investing in their product capability and looking for an experienced product leader to bring specialist collections and credit expertise into the organisation.

The Role

You will own the strategy, roadmap, and performance of the collections and recoveries product domain, working closely with Operations, Credit Risk, Data, and Engineering teams.

Key responsibilities include:

• Defining and delivering the collections and recoveries product strategy
• Building scalable tools and workflows that improve operational effectiveness
• Developing customer segmentation and early-warning capabilities alongside Risk and Data teams
• Enhancing repayment journeys across digital and assisted channels
• Driving automation and reducing manual operational processes
• Using experimentation and analytics to improve repayment, recovery, and customer outcomes
• Establishing clear KPIs, reporting frameworks, and success measures
• Influencing senior stakeholders across Product, Operations, Risk, and Technology
• Supporting the development of more proactive and customer-focused collections approaches
• Mentoring and guiding junior product team members

Your Skills & Experience

• Strong product management experience within banking, lending, fintech, payments, or financial services
• Direct experience with collections, recoveries, credit servicing, or lending products
• Proven success delivering transformation initiatives within collections or customer repayment environments
• Experience building and scaling data-led products and operational tooling
• Ability to translate complex business challenges into impactful product solutions
• Strong stakeholder management and communication skills
• Working knowledge of SQL and product analytics
• Experience with payments platforms, mobile money, or credit products would be advantageous
• Exposure to responsible lending, financial inclusion, or customer protection initiatives is beneficial

What They Offer

• Salary up to £100,000
• Wider benefits package including bonus
• Travel to Kenya (headquarters) for team collaboration
• High levels of ownership and influence within a growing product organisation
• Opportunity to define the future direction of collections and recoveries products
• Exposure to senior leadership and strategic decision-making
• Career growth within a scaling fintech environment

A purpose-driven culture focused on delivering positive customer outcomes

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SENIOR ANALYTICS ENGINEER
OXFORD/HYBRID
UP TO £65,000

This is an excellent opportunity for a Senior Analytics Engineer to play a key role in a growing data-driven organisation undergoing significant digital transformation. You will help shape the future of a cloud-based data platform, working on modern analytics engineering challenges while influencing technology decisions across the business.

ROLES AND RESPONSIBILITIES:
The Senior Analytics Engineer will:

• Develop, maintain, and enhance cloud-based data platforms and analytics solutions
• Design and build scalable ETL and ELT pipelines to support reporting and data products
• Work closely with stakeholders to translate business requirements into technical solutions
• Develop and optimise data warehouses, data marts, and reporting environments
• Ensure high standards of data quality, performance, reliability, and governance
• Automate data processes and deployments using modern engineering practices
• Monitor, troubleshoot, and continuously improve data infrastructure
• Contribute to data architecture decisions and support the modernisation of legacy systems
• Create clear technical documentation and maintain best practices across data engineering workflows
• Collaborate with developers, analysts, and business teams to deliver impactful data solutions

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience with Azure-based data technologies such as Azure SQL, Azure Data Factory, Microsoft Fabric, Synapse, or related platforms
• Expertise in designing and maintaining modern data warehouse architectures
• Advanced SQL skills and experience with CI/CD processes and Azure DevOps
• Strong Python scripting capabilities for automation, orchestration, and pipeline optimisation
• Experience working with ETL and ELT frameworks and data management best practices
• Knowledge of data security, governance, and regulatory requirements
• Experience with analytics and visualisation tools such as Power BI or similar platforms
• Familiarity with Git version control and collaborative development practices
• The ability to communicate effectively with both technical and non-technical stakeholders
• A proactive approach to problem-solving and delivering high-quality solutions

APPLY BELOW!

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Senior Product Analyst

Manchester (Hybrid – Tuesday to Thursday)
Up to £70,000 + 10% Annual Share Award

The Company

A leading UK consumer technology business is looking for a Senior Product Analyst to join its growing Product Analytics function. Operating one of the UK’s largest digital marketplaces, the business connects millions of customers every month through an advanced digital platform and has built one of the UK’s most mature Product Analytics capabilities.

Significant investment has been made across Product, Engineering, Data and AI, with analytics playing a central role in shaping customer experiences. Rather than relying on traditional web analytics, the business has developed a sophisticated event-level tracking infrastructure, providing analysts with rich behavioural data to drive product decisions.

This role sits within the Growth team, partnering closely with Product Managers, Engineers, Marketing and Data Scientists to improve personalisation, experimentation and customer decision-making across a high-traffic consumer platform.

Why Join?

• Join one of the UK’s leading consumer technology businesses.
• Work on digital products used by millions of customers every month.
• Be part of a highly mature Product Analytics function with a dedicated analytics community.
• Work with a modern data stack and rich event-level behavioural data.
• Influence product strategy through experimentation and behavioural analytics.
• Partner with Product, Engineering and Data Science in cross-functional squads.
• Gain high visibility with senior stakeholders and product leadership.
• Excellent long-term career progression within a large analytics organisation.

The Team

You’ll join a Product Analytics and Data Science function of over 30 analytics specialists, working within a wider Product & Technology organisation of more than 400 people.

This is a senior individual contributor role where you’ll combine technical excellence with commercial thinking, partnering with stakeholders across Product and Engineering while mentoring other analysts and helping establish best practice across the wider analytics community.

The Role

This is a Senior Product Analytics position with a strong focus on behavioural analytics, experimentation and statistical analysis.

You’ll take ownership of analytical projects from discovery through to implementation, helping Product and Engineering teams make better commercial decisions through data.

Key Responsibilities

• Analyse customer behaviour using large-scale event-level datasets.
• Develop product performance metrics and audience measurement frameworks.
• Design, analyse and evaluate A/B tests and experimentation programmes.
• Partner with Product Managers, Engineers and Marketing teams to improve customer journeys.
• Translate complex analytical findings into clear commercial recommendations.
• Influence senior stakeholders using data-driven insights.
• Support the development and improvement of tracking and measurement capabilities.
• Mentor junior analysts and promote best practice across the analytics function.
• Independently own projects from discovery through to delivery.

Skills & Experience

• Strong SQL skills.
• Python and/or PySpark experience.
• Experience within Product Analytics or Digital Analytics.
• Strong understanding of experimentation and A/B testing.
• Good grounding in statistics and analytical methodologies.
• Experience analysing customer and user behaviour.
• Experience working with event-level behavioural datasets.
• Strong stakeholder management and communication skills.
• Experience partnering with Product Managers and Engineering teams.
• Commercial mindset focused on improving customer outcomes.
• Experience with enterprise web analytics platforms such as Google Analytics or similar is advantageous.

Package & Benefits

• Salary up to £70,000 (with flexibility for exceptional candidates).
• 10% annual share award, giving employees long-term ownership in the business.
• Hybrid working with three office days per week (Tuesday-Thursday).
• 28 days annual leave, plus bank holidays and additional Christmas and New Year office closures.
• Industry-leading remote working flexibility, including designated remote-first periods each year where employees can work from anywhere in the UK-and selected international locations-for up to six consecutive weeks during the summer and up to four consecutive weeks during the winter. This offers the flexibility to travel, spend extended time with family, or work from another location without using annual leave.
• Competitive pension scheme, private medical cover, enhanced family leave and a comprehensive wellbeing package.
• Opportunity to work within one of the UK’s strongest Product Analytics environments alongside experienced analysts, data scientists and product teams, with clear progression opportunities as the analytics function continues to grow.

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Head of Artificial Intelligence

$200,000-230,000 base + annual bonus

4 days/week in-office

Location: Greater Philadelphia (NJ side)

THE COMPANY

We are partnered with a global manufacturer and technology-driven business operating at the forefront of precision engineering, advanced manufacturing, and imaging solutions. With a strong international presence and continued investment in innovation, the organization is embarking on a significant AI transformation program designed to improve operational efficiency, unlock new revenue opportunities, and embed AI across core business functions.

This is a newly created leadership position offering the opportunity to define and deliver the company’s AI strategy while building a high-performing AI function from the ground up.

RESPONSIBILITIES

• Define and execute the enterprise-wide AI strategy, identifying high-impact opportunities across manufacturing, engineering, supply chain, sales, customer operations, and corporate functions.
• Build, lead, and develop a dedicated AI team, establishing best practices, governance frameworks, and delivery standards for AI and Agentic AI solutions.
• Partner with senior stakeholders and executive leadership to translate business challenges into scalable AI initiatives with measurable ROI.
• Lead the end-to-end delivery lifecycle of AI programs, from use case identification and proof of concept through to production deployment and ongoing optimization.
• Drive adoption of Generative AI and Agentic AI capabilities across the organization, acting as an internal AI advocate and educator.
• Collaborate with analytics, IT, cybersecurity, and external AI partners to develop the data, infrastructure, and operating models required to support enterprise AI initiatives.
• Design and deliver AI training and enablement programs to increase AI literacy and adoption across the business.
• Evaluate emerging technologies and industry trends, ensuring the organization remains at the forefront of AI innovation.

SKILLS AND EXPERIENCE

Required

• Proven experience leading and scaling AI, Machine Learning, Data Science, or Analytics teams.
• Strong understanding of Generative AI, Agentic AI, Large Language Models (LLMs), and their practical business applications.
• Demonstrated success deploying AI solutions at scale within industrial, engineering, manufacturing, or similarly complex environments.
• Ability to engage and influence senior executives while translating technical concepts into business outcomes.
• Experience driving organizational change and promoting adoption of new technologies.
• Strong stakeholder management, leadership, and communication skills.
• Experience managing technology investment budgets and demonstrating business value and ROI.

Desirable

• Experience with Snowflake and modern cloud-based AI ecosystems.
• Familiarity with Agentic AI development frameworks and platforms, including Claude-based tooling.
• Background within manufacturing, engineering, industrial technology, precision engineering, or related sectors.
• Master’s degree or PhD in Computer Science, Data Science, Engineering, or a related discipline.

WHY JOIN?

• Opportunity to shape and lead a company-wide AI strategy at a critical stage of growth and investment.
• Build a new AI capability with executive-level sponsorship and visibility.
• Work on high-impact use cases spanning automation, forecasting, customer experience, operational excellence, knowledge management, and advanced analytics.
• Collaborate with external AI specialists and senior business leaders to drive meaningful transformation.
• Significant scope for career growth and long-term strategic influence.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Head of AI | Artificial Intelligence Director | AI Leadership | Generative AI | Agentic AI | LLMs | Machine Learning | Data Science | Snowflake | Claude Code | AI Strategy | AI Governance | Manufacturing Technology | Industrial AI | Computer Vision | Predictive Analytics | AI Transformation | AI Operations | Executive Leadership | Advanced Analytics

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Lead Credit Risk Analyst

Location: Leicester (Hybrid – 1 day per week in the office)

Salary: Up to £65,000 + Benefits

THE COMPANY

This is an exciting opportunity to join a leading consumer lending business as part of a growing Credit Risk function. Working within a collaborative team, you’ll play a key role in shaping lending strategies, improving customer outcomes and supporting business growth through data-driven decision making. With a range of transformation projects underway, it’s an excellent time to join a business investing heavily in its Credit Risk capability.

THE ROLE

As a Lead Credit Risk Analyst, you will develop and optimise lending strategies across an existing customer portfolio, balancing commercial growth with responsible lending.

Key responsibilities include:

• Develop and implement lending, affordability and credit limit strategies.
• Analyse portfolio performance to identify risks and commercial opportunities.
• Design and evaluate strategy tests to improve customer outcomes.
• Deliver portfolio analysis, MI and customer trend reporting.
• Work closely with modelling teams to implement strategic changes.
• Support the rollout of a new behavioural scorecard and credit decisioning system.
• Present strategic recommendations to senior stakeholders.
• Collaborate across the wider business to deliver key Credit Risk projects.

YOUR SKILLS AND EXPERIENCE

• Experience within Retail Credit Risk or Consumer Lending (e.g. credit cards, loans or mortgages).
• Experience working on Existing Customer Management (ECM), acquisition or lending strategies.
• Knowledge of credit limit management, affordability or pricing strategy.
• Strong SQL skills.
• Exposure to SAS or Python is advantageous.
• Excellent analytical, communication and stakeholder management skills.

THE BENEFITS

• Salary up to £65,000.
• Hybrid working (1 day per week in the office).
• Opportunity to work on high-impact Credit Risk transformation projects.
• Collaborative team with excellent learning and career progression opportunities.
• Exposure to a broad range of Credit Risk initiatives and strategy work.

HOW TO APPLY

Please register your interest by sending your CV to Max at Harnham via the Apply link on this page.

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