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LEAD DATA ENGINEER

$180,000 – $200,000 BASE SALARY + EQUITY + BENEFITS

FULLY REMOTE (US ONLY)

COMPANY OVERVIEW

A fast-growing technology company building a modern data platform for mid-sized manufacturing and services businesses. The platform gives finance leaders clear visibility into revenue, costs, and operational performance by unifying complex financial and transactional data into a single, intelligent system.

THE ROLE

This is a hands-on Lead Data Engineer role owning data engineering end-to-end. You will build and scale the core data pipelines that power the company’s platform, ensuring data is accurate, reliable, and production-ready. The role is well-suited for someone who enjoys building from scratch and taking accountability for data quality and scalability.

ROLE RESPONSIBILITIES

• Own data engineering across the platform, from ingestion through transformation and delivery
• Design, build, and maintain scalable data pipelines using Python, Spark, SQL, and modern cloud tools
• Ensure high standards of data quality, testing, and QA, continuously improving reliability
• Partner with product and engineering teams to support analytics, reporting, and customer-facing use cases
• Optimize pipelines for performance, scalability, and maintainability
• Own projects end-to-end, from design and implementation through long-term support
• Help shape data architecture and best practices as the engineering organization grows

SKILLS & EXPERIENCE

• 5-7 years of hands-on data engineering experience building and owning production pipelines end-to-end
• Strong Python and SQL skills; Spark and Databricks experience a plus
• Deep understanding of data quality, testing, and operational excellence
• Experience in fast-paced startups or growth-stage companies, comfortable taking ownership
• Familiarity with modern cloud data platforms and distributed processing tools

BENEFITS

• $180,000 – $200,000 base salary + equity
• Fully remote role within the United States
• High-impact position with significant ownership and autonomy
• Opportunity to help build and define the data engineering function from the ground up
• Well-funded company with strong growth trajectory

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We are seeking a Senior Director / VP-level leader to own and drive a large-scale ERP and finance systems transformation across Finance, Procurement, Accounting, and Operations.

On Site – Dallas, TX

This role is responsible for the end-to-end ERP strategy, including platform selection (SAP S/4HANA, Oracle ERP, MS Dynamics) and determining the right balance between modular solutions and full-suite ERP architectures. The mandate is deeply transformational-modernizing how the business operates while maintaining stability across critical systems.

You will partner closely with senior finance leadership, lead multi-year enterprise programs, and guide a cross-functional organization through change without disrupting day-to-day operations.

Role Responsibilities:

• Lead a multi-year ERP transformation program, aligned with business strategy, timelines, and financial objectives
• Define the future-state ERP vision and digital ecosystem, including platform and modularity decisions
• Drive process re-engineering across order-to-cash, accounting, treasury, procurement, and supply chain
• Leverage automation, AI / Agentic AI, RPA, and analytics to significantly reduce manual processing
• Ensure process standardization using out-of-the-box ERP capabilities wherever possible
• Oversee hands-on configuration, integration, testing, deployment, and operational monitoring
• Establish ERP best practices around resilience, security, risk mitigation, and documentation
• Lead enterprise change management, ensuring adoption and managing resistance across business units

• Lead and inspire cross-functional teams of engineers, system leaders, and business stakeholders
• Own hiring, mentoring, performance management, budgeting, and forecasting
• Manage external vendors and consulting partners
• Act as a trusted advisor to senior finance and operations leadership

Qualifications:

• 10-15+ years of ERP experience with deep focus on Finance and Supply Chain
• Proven leadership of large-scale, multi-million-dollar ERP implementations
• Experience with Oracle Fusion (preferred), SAP S/4HANA, and/or MS Dynamics
• Strong ability to translate complex business needs into technology-enabled solutions
• Demonstrated success in change management and driving adoption

Role Responsibilities:

• Own a high-impact, enterprise-wide transformation
• Influence how finance and operations work for years to come
• Operate at the intersection of business strategy, technology, and execution
• Lead meaningful change in a complex, global environment

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DIRECTOR, FINANCE SYSTEMS & TRANSFORMATION

$250,000 – $300,000 + BONUS + BENEFITS

DFW METROPLEX – 5 DAYS ONSITE

COMPANY OVERVIEW

A large, global manufacturing company is in the midst of a multi-year finance and enterprise systems transformation. The organization operates at significant scale and is investing heavily in modernizing finance processes and technology to improve efficiency, scalability, and decision-making.

Finance transformation is a top strategic priority with direct executive sponsorship and long-term commitment.

THE ROLE

This senior leadership role will drive the transformation of finance systems and business processes across the enterprise.

As the Director of Finance Systems & Transformation, you will lead ERP modernization efforts, redesign core finance processes, and ensure systems enable future growth. You will partner closely with senior finance and technology leaders, oversee a large cross-functional team, and play a key role in shaping the future state of the finance organization.

ROLE RESPONSIBILITIES

• Lead enterprise-wide finance systems and ERP transformation initiatives
• Drive redesign of finance processes across accounting, tax, and related functions
• Partner with finance and technology leaders to align systems with business strategy
• Leverage automation and advanced technologies to improve efficiency and scalability
• Lead and develop a large, cross-functional team

SKILLS & EXPERIENCE

• Extensive experience in finance systems, ERP, or finance transformation leadership
• Proven track record delivering large-scale ERP or enterprise system programs
• Strong finance domain expertise across accounting, tax, and financial controls
• Experience with major ERP platforms (SAP and/or Microsoft Dynamics preferred)
• Strong executive communication and stakeholder leadership skills

BENEFITS

• Competitive base salary with annual bonus
• Comprehensive benefits package
• Hybrid work model in the DFW metroplex
• High-visibility role with executive sponsorship
• Opportunity to lead transformation at enterprise scale

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VP of Engineering

Location: New York, NY (3 days/week on site minimum)

Compensation: $325,000-$350,000 base + 40% bonus + RSUs

About the Company

Harnham is partnering with a Fortune 500 leader in cybersecurity and digital trust, combining the scale of a global enterprise with the agility of a startup culture. The company protects hundreds of millions of users worldwide, boasts best-in-class retention, and maintains an unwavering commitment to innovation.

Its platform processes over half a million telemetry events per second, and following a major fintech acquisition in 2025, the organization has significantly expanded its footprint in New York City.

The Role

They are looking for a Vice President of Software Engineering to oversee a global engineering organization of 150+ professionals, supported by approximately 10 direct reports. This is a highly visible, reporting directly to the C-suite.

Key responsibilities include:

• Leading the development of customer-facing applications across mobile and web, as well as core backend and infrastructure initiatives.

• Driving the integration of existing products with newly acquired fintech platforms to unlock and maximize strategic value.

• Advancing AI adoption across both products and internal operations, with AI solutions already live in production and a target of achieving 30%+ productivity improvements.

• Scaling platforms to support large-scale, real-time, high-throughput environments.

• Shaping business and technology strategy in close partnership with senior executive leadership.

Ideal Candidate Profile

• 10+ years of experience leading commercial software development teams.

• Demonstrated success within scaling fintech organizations with customer-facing products (e.g., Stripe, Plaid, Chime, Chase, Capital One).

• Experience managing teams > 100.
• Experience with regulatory requirements is a plus.

• Deep experience designing and operating large-scale, real-time systems.

• Strong technical grounding, with experience in Java, React, or Scala preferred; background in platform or system migrations is a plus.

• Ability to thrive in a fast-moving Fortune 500 environment with a startup mindset; comfortable in matrixed companies.

• Strategic, forward-looking leader with a strong interest in AI-powered innovation.

BENEFITS

The compensation package contains a base salary, bonus, RSUs and a comprehensive benefits package.

HOW TO APPLY

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

KEY TERMS

Software Engineering | Leadership | VP | Engineering | Fintech | Customer | Customer-Facing | Direct-to-Consumer | B2C | Product | Production | Real Time | Vice President | Regulation | Python | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence

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DATA ANALYST

GILLINGHAM – 3 DAYS A WEEK ONSITE

UP TO £50,000

THE COMPANY

This is a business on a real data journey. They’re scaling fast, investing heavily in analytics, and putting data at the centre of how they improve performance. If you want to join a company where analytics genuinely drives decisions, this is a great place to do it.

THE ROLE

As a Data Analyst, you’ll sit at the heart of how the organisation understands its operations. You’ll be digging into operational and service-centre data, mapping out full customer and process journeys, and turning numbers into clear, actionable insight for senior leadership. Reporting, dashboarding and performance analysis are a huge part of the role, and you’ll work closely with finance, ops and leadership to highlight what’s working – and where the opportunities are.

You’ll be responsible for:

• Exploring complex operational datasets to surface trends, issues and opportunities
• Mapping end-to-end processes and identifying areas for efficiency
• Building and owning Power BI dashboards used for real-time decision-making
• Presenting insight and recommendations to senior stakeholders
• Maintaining data quality and consistency across systems
• Highlighting data/process gaps and supporting business cases for change

YOUR SKILLS & EXPERIENCE

To be successful, you’ll need:

• Proven experience as a Data Analyst, ideally within retail, automotive or manufacturing
• Strong Power BI capability
• Solid SQL for pulling and interrogating large datasets
• Advanced Excel skills
• Experience creating dashboards and visualisations
• Strong communication skills, with the ability to translate data for non-technical teams
• Python experience is a nice-to-have, not a must

THE BENEFITS

• Salary up to £40,000
• Opportunity to shape the analytics function as it grows
• Direct exposure to senior decision-makers

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PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

THE COMPANY

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

THE ROLE

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo’s Product Data Science model – embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

What you’ll do:

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis – deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

TECH STACK

Database: SQL (essential – must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)

WHAT YOU NEED

• Essential:
• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must – worked with product teams and business stakeholders
• Strong SQL skills – work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background – experimentation, A/B testing, user behaviour analysis
• Statistical rigor – appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills – ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach – care about the “why” behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze – pragmatic problem-solver

Nice to have:

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

WHAT’S ON OFFER

• Salary: Up to £85,000
• Location: London (Holborn) or Leicestershire – hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact: Greenfield opportunity – shape data function, build from ground up
• Strategic: Drive strategy and product decisions, not just reporting
• Mission-Driven: Tech for good – support key workers
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
• Bonus: Company bonus scheme
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture

INTERVIEW PROCESS

1. 45 minute Teams with Director of Data – work experience, current situation, more about the role
2. 1 hour Teams with Director of Data + Data Team member – case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)
3. 1 hour in-person meeting with 10 minute presentation on past experience
4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

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HEAD OF ANALYTICS (8-MONTH FTC)
£110,000 + Bonus (10%) + Pension (pro rata)
LONDON – HYBRID 3 DAYS PER WEEK
7-9 MONTH FIXED-TERM CONTRACT (FLEXIBLE ON LENGTH)

Please note, you must have full UK right to work and be a UK resident to apply.

ABOUT THE BUSINESS
This is a private equity-backed green technology business operating at national scale within the electric vehicle charging space. The organisation installs and manages thousands of charging points across the UK, including large-scale public sector partnerships, and is experiencing rapid growth driven by significant investment and long-term infrastructure contracts.

Data is viewed as a core strategic asset. Over the past year, the business has invested heavily in its data platform and capabilities and is now entering the next phase: using data to drive better decisions, improve customer experience, optimise operations, and demonstrate tangible commercial value across the organisation.

THE TEAM
You’ll sit within a growing data function that reports directly into the finance leadership team. The group includes senior engineering and analytics capability, with further hires underway as the function scales.

The foundations are now firmly in place: modern cloud infrastructure, a centralised data platform, and business intelligence tooling rolled out across the organisation. The focus has shifted from building the platform to activating the data – and this role plays a critical part in that transition.

You’ll work closely with senior stakeholders across customer success, operations, marketing, and finance, acting as a visible champion for analytics, insight, and data literacy.

THE ROLE
This is a senior, stakeholder-facing analytics and BI leadership role on a fixed-term basis, designed to help the business move from strong data foundations to clear, actionable insight.

The emphasis is on demonstrating what’s possible with data, embedding analytics into decision-making, and ensuring teams across the organisation understand and trust the insights being delivered.

Key responsibilities include:

• Leading the analytics and BI agenda, translating business problems into actionable reporting and insight.
• Partnering with customer success teams to develop reporting on customer interactions and experience.
• Working with operations to build insight around service reliability, installation performance, and infrastructure health.
• Collaborating with marketing to develop reporting on customer profiles, acquisition, and engagement.
• Acting as a champion for Power BI adoption across the business, showcasing wins, sharing best practice, and driving consistent usage.
• Managing senior stakeholders, setting expectations, and building strong, trusted relationships across the organisation.
• Supporting improvements in data literacy and helping non-technical teams understand how to use data effectively.
• Providing input into the future direction of advanced analytics, including the potential transition of existing machine learning models from third-party to in-house ownership (desirable exposure).

This role is less about building infrastructure and more about extracting value, influencing decisions, and embedding analytics into day-to-day operations.

SKILLS & EXPERIENCE REQUIRED
Essential:

• Previous experience managing analytics or BI professionals.
• Strong background in analytics and business intelligence, with prior hands-on experience (including SQL).
• Proven ability to work with senior stakeholders and translate data into clear commercial insight.
• Excellent communication skills, with the ability to build rapport quickly and influence without authority.
• Commercially astute, solutions-focused, and highly organised.
• Comfortable operating in a scaling environment where structure exists but is still evolving.

Desirable:

• Experience working in infrastructure, energy, mobility, or asset-heavy environments.
• Exposure to cloud data platforms and modern BI stacks (e.g. AWS, Snowflake, dbt, Power BI).
• Awareness of machine learning concepts and experience working alongside ML practitioners or models.

WHY APPLY?

• Play a pivotal role in taking a data function from strong foundations to real business impact.
• Work directly with senior leaders across the organisation and influence strategic decision-making.
• Join a well-backed, mission-driven green tech business at a critical growth phase.
• Shape how analytics is used, understood, and valued across the organisation.
• Ideal for someone who thrives in imperfect environments and is excited by building momentum rather than inheriting a finished product.

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PRODUCT DATA ANALYST
Up to £55,000 + benefits
LONDON – HYBRID (2 DAYS A WEEK IN OFFICE)

Please note: you must be a UK resident with full right to work

ABOUT THE BUSINESS
This is a large, global media organisation operating across North America, Europe, and the Middle East, with a strong presence in London. The business combines proprietary technology with large-scale media and publishing operations, reaching millions of users every month across multiple platforms.

The organisation operates across two core areas:

• Technology, providing the infrastructure required to run high-traffic content platforms, including content management systems and advertising technology.
• Media & Publishing, which focuses on producing and monetising premium sports and fan-focused content across a portfolio of major digital brands.

This role sits firmly within the Media & Publishing arm, supporting high-traffic websites and content networks monetised primarily through advertising, sponsorship, and emerging subscription models. As the business continues to explore registration walls, premium content, and audience monetisation strategies, analytics plays a central role in shaping commercial and product decisions.

THE TEAM
You’ll join a close-knit analytics and data team of around 10 people working across publishing, audience, and technology initiatives.

The team includes analysts, data engineering, and data science, working closely with product, editorial, and commercial stakeholders. The environment is fast-paced, collaborative, and still evolving, offering scope to influence how analytics is embedded across the publishing organisation.

THE ROLE
This Product Data Analyst role is focused on understanding audience behaviour, engagement, and monetisation across large-scale media platforms.

You’ll play a key role in shaping how users interact with content – from registration walls and recirculation strategies to experimentation, forecasting, and evaluating new initiatives such as AI-driven content enhancements.

The role combines hands-on analysis with stakeholder management, requiring someone who can confidently challenge assumptions, manage expectations, and translate data into clear commercial recommendations.

KEY RESPONSIBILITIES
Audience & Engagement Analytics

• Analyse and optimise registration walls, including their impact on revenue, engagement, and audience understanding
• Develop approaches to capturing user interests and preferences to improve relevance and personalisation
• Own recirculation analysis, understanding how users move through content once on site

Experimentation & Optimisation

• Design and analyse A/B tests across navigation, banners, “what to read next”, and internal linking
• Evaluate what drives deeper engagement, longer dwell time, and repeat visits
• Partner with product and editorial teams to embed learnings into site strategy

Commercial & Strategic Analytics

• Support advertising and monetisation decisions through audience and behavioural insights
• Contribute to forecasting website traffic and audience growth
• Evaluate the impact of new initiatives, including AI-driven features such as content summarisation

Cross-Business Support

• Work flexibly across different areas of the publishing organisation as priorities evolve
• Communicate insights clearly to stakeholders with varying levels of data literacy
• Push back where necessary, managing expectations and advocating for data-led decision making

TECH STACK

• Cloud-based data warehouse (GCP)
• SQL – strong, hands-on capability required
• Google Analytics for tagging and behavioural analysis
• Python (nice to have, not essential)

SKILLS & EXPERIENCE REQUIRED
Essential

• Strong experience working with large-scale datasets
• Advanced SQL skills, including writing complex queries
• Experience analysing digital audience behaviour and engagement
• Confidence working in fast-moving environments with evolving priorities
• Strong stakeholder management skills, with the ability to challenge and influence

Nice to Have

• Background in media, publishing, or agency environments
• Experience with experimentation and A/B testing
• Exposure to forecasting or advanced analytical techniques
• Experience using Python for analysis

WHY APPLY?

• Join a global media organisation with massive audience reach
• Work on high-traffic, well-known publishing platforms
• Play a central role in shaping audience and monetisation strategy
• Enjoy flexible working with genuine autonomy
• Be part of a collaborative, growing analytics function with room to influence

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RESEARCH MANAGER (ANALYTICS/DATA SCIENCE)
Up to £60,000
LONDON – OFFICE-LED (4 DAYS A WEEK, FRIDAYS AT HOME)

Please note, you must be a UK resident with full right to work

ABOUT THE BUSINESS
This fast-growing B2B research technology startup is on a mission to close the “understanding gap” between what organisations believe about people and reality.

Using AI-driven methodologies, the business delivers deeper, faster, and more accurate insights at a fraction of the cost and time of traditional research approaches. The team brings together experienced researchers and cutting-edge engineers to fundamentally rethink how market and audience insights are generated.

With around 50 employees and operating at Series A-B stage, the company works with major brands and mission-driven organisations. A new AI-powered product launch marks the next phase of growth, creating an exciting opportunity to shape and scale its analytics capability.

THE TEAM
You’ll join a highly collaborative team of researchers, analysts, and engineers who work closely to push the boundaries of modern research and analytics.

The environment is intellectually curious, ambitious, and fast-moving, with a strong emphasis on methodological rigour, creativity in analysis, and real-world impact. Team members are trusted to own projects end to end and to continuously improve how research is delivered.

THE ROLE
This Research Manager role focuses predominantly on advanced analytics and plays a key part in evolving and scaling the company’s analytical capabilities.

You’ll lead complex quantitative workstreams across a wide range of projects and industries, pushing analytical thinking beyond standard reporting to uncover deeper insight. The role combines hands-on analysis with ownership of projects, processes, and best practice.

This is an opportunity to have real influence over how analytics is done, helping close the knowledge gap through innovative methods and high-quality thinking.

KEY RESPONSIBILITIES
Analytics Leadership

• Own analytics workstreams for major research projects
• Lead advanced analyses including segmentation, factor reduction, and multi-level / mixed-effects regression
• Set best-practice standards and processes for analytics, including segmentation frameworks
• Push methodological innovation and improve analytical quality across the team

Automation & Efficiency

• Automate common analytical tasks, particularly for trackers and long-running client programmes
• Improve scalability and consistency of analytics outputs

Research Delivery

• Independently run end-to-end research and insight projects
• Work primarily on quantitative research, with exposure to qualitative and mixed-methods studies
• Translate complex analysis into clear, compelling insight for clients and internal stakeholders

Commercial & Proposal Support

• Contribute to and own RFPs and research proposals
• Support the commercial team with methodological input and analytical thinking

SKILLS & EXPERIENCE REQUIRED
Essential

• 3+ years’ experience in analytics and/or research using survey data
• Hands-on experience running statistical analyses including:
• Factor reduction techniques
• Multi-level / mixed-effects regression (linear and logistic)
• Segmentation and cluster analysis
• Strong exploratory data analysis skills with a creative approach to pattern finding
• Deep experience working with survey data, including cleaning, merging, weighting, and wrangling
• Experience working with large or publicly available datasets (e.g. census or national statistics)
• Strong proficiency in R or Python for data analysis and visualisation

Nice to Have

• Experience using both frequentist and Bayesian approaches
• Understanding of the full market research project lifecycle

WHY APPLY?

• Join a fast-growing research technology startup at a pivotal growth stage
• Shape and scale advanced analytics capabilities with real influence
• Work at the intersection of AI, research, and insight
• Collaborate with a smart, ambitious team of researchers and engineers
• Enjoy a flexible, office-led working pattern with genuine autonomy

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