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Back-End Engineer

London (Hybrid, minimum 3 days in office) | £70,000 – £80,000 + Bonus + Benefits

This is an opportunity to join a well-funded AI software business building next-generation enterprise technology. You’ll play a key role in developing the backend systems that power complex workflows, AI-driven capabilities, and large-scale data processing, while helping shape engineering standards in a growing team.

The Company

They are developing an AI-powered platform that enables organisations to manage complex workflows, data sources, and decision-making processes more efficiently. Operating within a high-growth environment, they combine advanced AI capabilities with enterprise-grade reliability, security, and compliance. Their engineering team is highly collaborative, with a strong focus on product quality, innovation, and ownership. They are investing heavily in technology and offer the chance to make a meaningful impact from day one.

The Role

You will:

• Design, build and maintain scalable backend services using Python and cloud-native technologies.
• Develop APIs, workflow services and data platforms that support AI-powered products.
• Build and optimise multi-tenant systems with a focus on security, reliability and auditability.
• Work closely with engineering teams to integrate backend systems with AI and machine learning services.
• Improve observability through monitoring, logging, testing and performance optimisation.
• Contribute to architecture decisions and engineering best practices.
• Support cloud infrastructure, deployment pipelines and production environments.
• Help deliver highly available systems used by enterprise customers.

Your Skills & Experience

You will have:

• Strong commercial experience building backend applications with Python and SQL.
• Experience working with PostgreSQL and API development frameworks such as FastAPI.
• A background developing SaaS, platform, or enterprise-scale systems.
• Strong understanding of security, testing, observability and software engineering best practices.
• Experience operating applications within AWS environments.
• Familiarity with CI/CD pipelines, Linux and modern engineering workflows.
• Regular use of AI-assisted development tools such as Cursor, Claude Code or similar.

Desirable experience includes:

• Java and Spring Boot.
• Event-driven architectures and workflow orchestration.
• LLM integrations or AI-powered products.
• Experience within regulated or data-intensive industries.

What They Offer

• Competitive salary, bonus and benefits package.
• The opportunity to build cutting-edge AI products with real-world impact.
• High levels of ownership and influence over technical decisions.
• Exposure to senior stakeholders and a collaborative engineering culture.
• Strong progression opportunities as the team continues to grow.
• Modern London office with a flexible hybrid working model.

How to Apply

If you’re a Back-End Engineer looking to build scalable AI-powered products in a fast-growing environment, apply today to learn more.

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Alternative Data Director

£120,000-£150,000

Fully Remote in The UK

The Company

A fast-growing alternative data business providing investors with daily revenue and KPI intelligence across hundreds of listed companies globally is seeking an Alternative Data Director to lead their “Research” function. The business works with around 100 investment funds, using a combination of first- and third-party data alongside proprietary modelling methodologies to uncover signals and trends ahead of traditional reporting; having recently secured further investment, the business is continuing to scale its data capabilities and is now looking for a senior data leader to build out its Data Research function.

The Role

This is a senior, hands-on leadership role sitting within the Data Research function. You will be responsible for identifying, researching and evaluating new datasets and working out how they can be transformed into valuable commercial intelligence. The role sits closely alongside the Data Partnerships function, which is responsible for sourcing and purchasing new datasets.

Your team will then answer the critical questions:

• What is actually contained within the data?
• Is it reliable and fit for purpose?
• What can we learn from it?
• Can it help us create new KPIs or products?
• Is the data worth the commercial investment?

You will also lead research projects from the other direction; starting with a question or hypothesis around a sector or KPI and determining what data could be used to answer it. This is not a pure people-management position; tare looking for someone who can set the strategy but also get deep into the data, challenge technical work and personally drive complex research projects. The team currently includes a Data Evaluation Manager, with the wider Data Research function expected to grow significantly.

What You’ll Be Doing

• Define and lead the overall Data Research strategy.
• Lead end-to-end research projects, developing hypotheses around new ways to track sectors and KPIs.
• Assess and validate new alternative datasets from Data Partnerships.
• Lead data discovery, including identifying and investigating potential sources independently.
• Apply statistical analysis to determine whether datasets have meaningful relationships with important business metrics.
• Develop and improve standards for evaluating new datasets.
• Work across data validation, modelling, feature engineering and statistical analysis.
• Build robust approaches to assessing messy, real-world data.
• Develop the team’s approach to data valuation and cost-benefit analysis.
• Work closely with Data Partnerships to inform purchasing decisions.
• Identify new ways existing datasets can be used to create additional insight or products.
• Set the technical standard for the Data Research team.
• Lead, develop and grow the team as the function scales.
• Work closely with the CTO, Strategy leadership and other senior stakeholders.
• Explore how AI can improve the speed and quality of data research and evaluation.

Your Skills & Experience

You will be a technically strong data leader who enjoys data discovery, research and solving open-ended problems.

I am particularly interested in people who can demonstrate:

• Extensive experience in Data Science, Statistics or a closely related quantitative discipline.
• Some experience in technical leadership or management.
• Strong hands-on Python experience.
• Strong SQL skills.
• Excellent statistical analysis and data modelling capability.
• Experience working with messy, real-world datasets.
• Strong experience in feature engineering and turning raw/complex data into something commercially useful.
• A track record of discovering, assessing or evaluating new datasets.
• Experience defining hypotheses and taking complex research questions through to an evidence-based conclusion.
• The ability to assess whether data is genuinely fit for purpose.
• Strong commercial judgement around the value and cost of acquiring data.
• The ability to operate as a do-er, rather than purely a strategic leader.
• Experience leading and developing technical data teams.

For this role, experience in alternative data, financial data, investment research, data discovery, consultancy or data-led SaaS environments could all be relevant. Experience with first-party data collection, expert panels, surveys or using AI to improve research workflows would also be advantageous. This role is less suited to purely ML Engineering, BI/dashboarding or traditional Equity Research profiles without substantial hands-on experience working with datasets.

The Benefits

• £120,000-£150,000 salary

How to Apply

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

To Apply for this Job Click Here

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Senior Growth Analyst

£70,000-£80,000

London (Hybrid)

Are you a commercially minded analyst who wants to influence growth strategy rather than simply report on performance? This is an opportunity to join one of the UK’s most exciting consumer businesses, using data to shape customer acquisition, retention and product growth!

The Company

This fast-growing, direct-to-consumer pet food business is transforming the market with fresh, human-grade meals, delivered through a subscription model. Founded in 2020, the business has secured significant investment, including a Series C funding round in late 2025, and is continuing to scale its operations. Data and analytics sit at the heart of the business, informing decisions across Marketing, Product and commercial functions. With a strong focus on customer behaviour, experimentation and measurable growth, the company offers an opportunity to work in an ambitious environment where analytical insight directly influences business strategy.

The Role

As Senior Growth Analyst, you will work closely with Marketing and Product teams, partnering with senior stakeholders to identify growth opportunities, challenge assumptions and turn complex analysis into actionable commercial recommendations. Reporting into the Analytics Director, you will take a proactive, generalist approach to analytics, answering a broad range of business questions and helping teams make better, faster decisions.

Key responsibilities will include:

• Identifying opportunities to improve customer acquisition, conversion, retention and long-term customer value.
• Leading analysis across marketing performance, channel optimisation, attribution, customer journeys and product growth.
• Designing and evaluating A/B tests, experimentation frameworks and other approaches to measuring commercial impact.
• Analysing funnels, cohorts and customer lifecycle behaviour to understand performance drivers and identify opportunities for improvement.
• Translating ambiguous business questions into analytical frameworks, measurable hypotheses and clear recommendations.
• Partnering with Marketing, Product, Finance and Data teams to influence prioritisation, investment decisions and growth roadmaps.
• Developing and monitoring KPIs, identifying emerging trends and investigating the root causes of performance changes.
• Communicating complex findings through clear, compelling narratives that influence stakeholders and drive action.
• Working with Analytics Engineering to improve data quality, tracking and self-service analytics capabilities.

Your Skills & Experience

• Strong SQL skills and experience working with large, complex datasets.
• Experience in Growth Analytics, Marketing Analytics, Product Analytics or a similarly commercially focused analytical role.
• A strong understanding of customer acquisition, retention, conversion funnels, cohort analysis and customer lifecycle behaviour.
• Experience with experimentation, A/B testing, campaign effectiveness and marketing performance measurement.
• The ability to move beyond reporting and dashboards to deliver actionable insights and measurable business impact.
• Strong commercial acumen, with the ability to connect customer behaviour and marketing performance to revenue, profitability and long-term value.
• Excellent communication and stakeholder management skills, with the confidence to challenge assumptions and influence senior decision-makers.
• A proactive, curious mindset, with the ability to operate in ambiguity, take ownership and identify opportunities without waiting for a brief.

Experience within a subscription, e-commerce, consumer technology or direct-to-consumer business would be particularly advantageous. Familiarity with dbt, BigQuery, Looker, Google Analytics, attribution modelling or marketing mix modelling would also be beneficial.

The Benefits

• £70,000-£80,000

How to Apply

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

To Apply for this Job Click Here

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Frontend Engineer

London (Hybrid, minimum 3 days in office) | £70,000-£80,000 + Bonus + Benefits

This is an opportunity to join a well-funded AI software business at a pivotal stage of growth. You’ll help shape the front-end experience of a sophisticated platform used to manage complex workflows, data-rich processes, and AI-powered decision making. Working within a small, high-calibre engineering team, you’ll have significant ownership, direct exposure to leadership, and the chance to influence both product and technical direction.

The Company

They are building an AI-powered enterprise platform that helps organisations work more efficiently with complex data, workflows, and decision-making processes. Their technology combines proprietary information, external data sources, and AI capabilities into a secure, scalable product used in highly demanding environments.
Backed by an established international business with deep domain expertise, they are investing heavily in product and engineering growth. The team operates in a collaborative, high-ownership environment where engineers play a key role in shaping the product’s future.

The Role

You will:

• Build and enhance complex front-end applications using React and TypeScript.
• Develop data-heavy dashboards, analytics tools, and workflow-driven user experiences.
• Design intuitive interfaces for AI-powered features and agent-based workflows.
• Create responsive, performant, and accessible user experiences for enterprise users.
• Contribute to shared component libraries and scalable front-end architecture.
• Collaborate closely with product, design, and engineering stakeholders.
• Implement robust testing practices and maintain high standards of code quality.
• Optimise application performance, scalability, and front-end security.

Your Skills & Experience

You will have:

• Strong commercial experience building applications with React and TypeScript.
• Experience developing complex enterprise software, SaaS platforms, or data-rich products.
• Expertise in state management, front-end architecture, testing, and performance optimisation.
• Understanding of front-end security principles and best practices.
• Experience working within cloud-based development environments and modern CI/CD processes.
• Regular use of AI-assisted development tools such as Cursor, Claude Code, or similar.
• A product-focused mindset with a passion for delivering high-quality user experiences.

Desirable experience includes:

• React Native development.
• AI-powered or agentic product development.
• Design systems, theming frameworks, or micro-frontend architectures.
• Financial or data visualisation products.

What They Offer

• Competitive salary, bonus, and benefits package.
• The opportunity to help build a cutting-edge AI platform from an early stage.
• High levels of autonomy, ownership, and technical influence.
• Direct access to senior leadership and decision-makers.
• Clear opportunities for career development as the engineering function grows.
• Modern London office environment with a collaborative engineering culture.

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CRM Manager

Nottingham (Hybrid) | Up to £50,000

Are you passionate about using data, customer insight, and engagement strategy to build meaningful supporter relationships? This is a rare opportunity to create and lead a donor retention function from the ground up within a well-established international charity. With strong acquisition activity already in place, you’ll have the autonomy to shape the supporter experience, drive long-term retention, and deliver measurable fundraising impact.

The Company

They are a respected international non-profit organisation delivering humanitarian and development programmes across multiple regions worldwide. Their work spans emergency relief, education, healthcare, clean water, and community support initiatives, helping vulnerable communities build brighter futures.

Following an organisational transformation, they are investing heavily in their fundraising capability and bringing greater coordination to their supporter engagement strategy. This newly created role sits at the heart of that growth and offers significant scope to influence future direction.

The Role

You will lead the development of a donor engagement and retention strategy, designing journeys that strengthen supporter relationships and encourage long-term giving.

Responsibilities include:

• Developing and implementing donor retention, engagement, and reactivation strategies
• Building multi-channel supporter journeys across email, SMS, digital, and other engagement channels
• Using donor data and audience insights to create meaningful segmentation and personalised experiences
• Establishing testing, reporting, and optimisation frameworks to improve retention performance
• Monitoring key retention metrics and delivering actionable performance reporting
• Collaborating with fundraising, marketing, content, and operational teams to deliver campaigns
• Managing retention budgets and supporting best practices across donor care activities
• Identifying opportunities to improve supporter experience and increase lifetime value

Your Skills & Experience

• Strong experience in CRM, customer retention, donor engagement, or lifecycle marketing
• Ability to develop strategy and translate it into practical campaigns and measurable outcomes
• Confident using data, segmentation, and performance analysis to drive decision-making
• Experience managing multi-channel customer or supporter journeys
• Strong stakeholder management and cross-functional collaboration skills
• Comfortable working in a growing environment where processes and strategies are evolving
• Previous fundraising or charity sector experience is beneficial but not essential

What They Offer

• Opportunity to build and shape a new retention function
• Significant autonomy and influence over strategy
• Exposure to senior stakeholders and organisational transformation projects
• Long-term career progression as the fundraising team continues to grow
• Opportunity to contribute to meaningful programmes with global impact

How to Apply

To find out more about this Donor Engagement & Retention Manager opportunity, please apply with your CV or get in touch for a confidential discussion.

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Junior Data Scientist

London | £40,000 – £50,000

This is an excellent opportunity for a Junior Data Scientist to join an early-stage AI business at a pivotal point in its growth. With a growing client base, proprietary datasets, and direct access to experienced founders, you’ll have the chance to make a tangible impact while accelerating your development across Data Science, Data Engineering, and Generative AI.

The Company

They are building an AI-powered platform that helps businesses navigate complex operational and compliance processes through intelligent data solutions. Working in the global trade space, they transform documentation into actionable insights that support decision-making, visibility, and regulatory compliance. The business has secured strong funding and offers a collaborative startup environment where curiosity, ownership, and a passion for data are highly valued.

The Role

As a Junior Data Scientist, you will work closely with the founders and gain exposure to a wide range of data and AI projects.

Responsibilities include:

• Analysing large and complex datasets to uncover insights and business value
• Supporting the development of data pipelines and data engineering processes
• Working with proprietary client data to improve analytics and AI-driven outputs
• Contributing to Generative AI projects using modern LLM technologies
• Assisting with data labelling, model training, and experimentation
• Building reporting, visibility, and decision-support solutions
• Collaborating with stakeholders to understand business challenges and translate them into data-driven outcomes
• Learning how AI can be applied across operational, compliance, and sustainability-focused use cases

Your Skills & Experience

• Strong academic background in a STEM subject such as Computer Science, Mathematics, Physics, Engineering, or a related discipline
• Commercial experience working with data in a professional environment
• Strong Python and SQL skills
• Experience using machine learning libraries through professional work, research, or personal projects
• Exposure to Generative AI technologies and Large Language Models
• Understanding of software engineering fundamentals and development best practices

How to Apply

If you’re a data-driven problem solver with strong Python and SQL skills and want to build your career in Data Science and AI within a growing startup, apply today to learn more about this opportunity.

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Data Engineer Opportunity | Austin, TX (Hybrid)

Build the data foundation behind a rapidly growing, industry-leading organization.

We’re conducting a confidential search for a Data Engineer to join a highly collaborative and data-driven team based in Austin, TX. This is an outstanding opportunity for an early-career engineer who wants to accelerate their growth, gain exposure to modern data platforms, and work on high-impact initiatives that directly support business decision-making.

If you have a strong foundation in Python and SQL, enjoy solving complex data challenges, and want to build scalable data solutions in a fast-paced environment, we’d love to connect. Experience with dbt is highly preferred but not required. The role focuses heavily on developing, optimizing, and maintaining data pipelines, transformations, data models, and data quality processes.

What You’ll Be Doing

• Build and maintain data pipelines, workflows, and transformations that support analytics and business reporting.
• Work closely with business stakeholders to deliver reliable, scalable data solutions.
• Improve data quality, monitoring, validation, and operational processes.
• Contribute to a growing enterprise data platform and modern data engineering practices.

What We’re Looking For

• 2-3+ years of Data Engineering experience
• Strong hands-on experience with Python and SQL
• Experience building or supporting ETL/ELT pipelines
• Exposure to data modeling and analytics environments
• dbt experience is a strong plus
• Strong problem-solving skills and attention to detail

Location & Compensation

Austin, TX (4 days onsite per week)

Base salary up to $180,000 + 10% bonus

Relocation assistance available

Work Authorization Requirement

Due to client requirements, only U.S. Citizens and Green Card holders can be considered. Sponsorship is not available now or in the future.

If you’re interested in learning more, send me a message for a confidential conversation.

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Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

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Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

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Staff Data Engineer

San Francisco, CA

$240K-$300K base + equity

We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.

You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.

What You’ll Do

• Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources
• Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery
• Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering
• Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance
• Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation
• Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation
• Champion data quality and governance across classification, ownership, access policies, and data lifecycle management

What We’re Looking For

• 8+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments
• Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow
• Deep experience with Kafka and streaming data systems, with strong working knowledge of ClickHouse, Iceberg, or similar technologies
• Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
• Cloud-native architecture expertise across AWS, GCP, or Azure
• Experience designing and scaling data systems to support petabyte-level workloads
• Track record of building data infrastructure that meets compliance and governance requirements, including SOX or equivalent
• Strong communication and collaboration skills, with the ability to operate as a senior technical voice across engineering and business stakeholders

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