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Senior Data Engineer (Contract)

About Harnham

Harnham is a specialist in data and analytics recruitment. We partner with organizations that are investing in modern cloud data platforms and help them hire experienced data professionals who can deliver production-grade solutions at scale.

About the Client

Our client is a leading membership-based retail organisation undergoing a large-scale data transformation. The business is investing in cloud-native data platforms to improve how operational, customer, merchandising, and supply chain data is collected, managed, and delivered across the enterprise.

Role Details

• Role: Senior Data Engineer
• Location: Hybrid near Boston, MA (1 day per week) or fully remote (EST hours)
• Pay Range: $60 to $80 per hour
• Start: Target early September
• Length: 6 month initial contract with likely extension
• Utilization: 40 hours per week
• Employment Type: Contract (W2 or C2C)

The Role

This is a hands-on Senior Data Engineering contract focused on building and supporting enterprise data pipelines that power reporting, analytics, and operational decision-making across the business.
You will own the ingestion layer for high-volume retail and operational data, helping move information from source systems into a modern cloud data platform. This role requires strong Snowflake expertise, deep experience with data ingestion, and the ability to work independently while partnering with business and technical stakeholders.

Key Responsibilities

• Own end-to-end delivery of data engineering solutions, from source intake through production deployment.
• Design, build, and maintain scalable batch and near real-time ingestion pipelines.
• Develop Snowflake-based data models and transformation frameworks.
• Support analytics, reporting, forecasting, and operational decision-making across retail functions.
• Ensure data quality, lineage, validation, and governance standards are maintained.
• Partner with stakeholders across technology, operations, merchandising, customer, and analytics teams.
• Drive engineering best practices around testing, monitoring, documentation, and reliability.

Requirements: Must Have

• 4+ years of professional Data Engineering experience with significant ownership of ingestion pipelines.
• Extensive hands-on Snowflake experience in production environments.
• Experience using Snowflake Cortex or other AI-assisted capabilities within Snowflake.
• Strong SQL skills, including optimisation, validation logic, and large-scale data processing.
• Experience supporting enterprise data platforms within retail, eCommerce, consumer products, logistics, supply chain, or similarly complex environments.
• Ability to work independently and communicate effectively with both business and technical stakeholders.

Nice to Have

• Experience using dbt for data transformation and modelling.
• Python for data engineering, orchestration, and automation.
• Experience supporting near real-time or event-driven data pipelines.
• Familiarity with CI/CD processes, Git, and Agile delivery methodologies.
• Experience working with customer, merchandising, inventory, fulfilment, or supply chain data domains.

Why Apply?

This is an opportunity to join a major retail organisation that is continuing to invest heavily in modern data capabilities. You’ll have direct ownership over critical data pipelines, work with a modern Snowflake environment, and help shape the future of enterprise analytics across a data-driven business.

We will not be utilizing third parties for this search. Please apply directly if interested.

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This is an exciting opportunity to take ownership of customer retention strategy within a subscription-based digital product environment. You will lead high-impact initiatives focused on reducing churn, increasing engagement, and delivering measurable commercial outcomes through data-driven marketing and cross-functional collaboration.

The Company

They are a well-established consumer-focused organisation operating a large-scale subscription business. With a strong emphasis on customer experience, engagement, and long-term retention, they invest heavily in marketing innovation, automation, and personalised customer journeys. You will join a collaborative environment where strategic thinking and measurable impact are highly valued.

The Role and Deliverables

• Develop and deliver retention and churn mitigation strategies for subscription customers.
• Create testing roadmaps and capability requirements that can be translated into technical delivery plans by IT and engineering teams.
• Lead cross-functional initiatives with stakeholders across CRM, engagement marketing, revenue marketing, governance, and analytics.
• Design and implement lifecycle marketing strategies across engagement, upsell, cross-sell, retention, and churn prevention.
• Establish measurement frameworks and KPI tracking focused on subscriber retention, product engagement, campaign performance, and revenue growth.
• Use customer insights, behavioural data, segmentation, and performance analysis to identify optimisation opportunities and improve customer journeys.

Your Skills & Experience

• Strong experience developing retention, churn reduction, or customer lifecycle marketing strategies within a subscription-based business.
• Proven ability to define strategic capabilities and testing frameworks that support technical implementation.
• Experience leading complex, enterprise-wide strategic initiatives from discovery through to execution.
• Strong stakeholder management skills with the ability to influence and collaborate across multiple business functions and senior leadership teams.
• Experience building business cases, conducting cost-benefit analysis, and demonstrating commercial impact.
• Strong understanding of marketing automation, personalisation, customer segmentation, and campaign optimisation.
• Comfortable using customer insights and performance data to shape strategy and drive decision-making.
• Solution-oriented mindset with the ability to identify opportunities, overcome challenges, and improve operational efficiency through automation.

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This is an opportunity to join a high-impact project focused on territory design, quota planning, and GTM analytics within a B2B SaaS environment. You’ll play a key role in shaping data-driven models that support commercial decision-making, working closely with stakeholders to deliver practical, evidence-based outcomes.

The Company

They are a specialist consultancy partnering with organisations to solve complex commercial and operational challenges through data, analytics, and AI. Working closely with client teams, they combine strategic thinking with hands-on delivery to design scalable solutions that improve business performance. Their approach is highly collaborative, with a strong focus on practical outcomes and knowledge transfer.

The Role and Deliverables

• Build and validate attainment models using historical sales performance and territory composition data.
• Develop predictive quota models aligned to financial planning assumptions and historical attainment outcomes.
• Apply territory design methodologies across both Sales and Customer Success functions.
• Analyse and model data from exported source files and spreadsheets, ensuring robust statistical validation.
• Partner with commercial and technical stakeholders to refine methodology and challenge assumptions.
• Produce clear documentation that enables client teams and future delivery partners to understand and apply the approach.

Your Skills & Experience

• Strong experience working with SaaS sales operations, GTM analytics, territory planning, quota setting, or attainment analysis.
• Proven capability in data science, statistical modelling, and validating models using real-world business data.
• Advanced SQL and Python or R skills for data manipulation, analysis, and modelling.
• Excellent Excel and Google Sheets skills, with experience working directly from exported datasets.
• Understanding of statistical or machine learning techniques used to connect territory, account, or quota attributes with performance outcomes.
• Ability to work effectively with ambiguous requirements and adapt solutions as project needs evolve.
• Strong communication skills, including presenting findings and methodology to client stakeholders.
• Experience working with Salesforce data structures would be beneficial.
• Exposure to agentic, rules-based, or decision-support modelling approaches would be advantageous.

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Senior Data Scientist

London

Outside IR35

Fully Remote

Immediate Start

£400 – £500 Per Day

3 – 6 Months long

The Company

They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where innovation, knowledge sharing, and professional development are highly valued. You will have the chance to work with a broad range of stakeholders on cutting-edge data projects.

The Role and Deliverables

• Lead the design and delivery of advanced machine learning and AI solutions that drive measurable business outcomes.
• Develop, optimise, and deploy machine learning models and scalable ML pipelines.
• Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management.
• Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges.
• Partner with technical and non-technical stakeholders to translate data requirements into effective solutions.
• Provide technical leadership, mentor data scientists, and contribute to the development of reusable data science approaches.

Your Skills & Experience

• Strong experience in data science, machine learning, artificial intelligence, and advanced analytics.
• Expertise in Python and SQL for data analysis, modelling, and production-grade solutions.
• Experience designing, deploying, and maintaining machine learning models in cloud environments.
• Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt.
• Experience delivering advanced measurement and modelling solutions, including marketing mix modelling, incrementality testing, causal impact analysis, attribution modelling, propensity modelling, churn analysis, or predictive lifetime value modelling.
• Strong stakeholder engagement and communication skills, with the ability to explain complex technical concepts clearly.
• Experience working with large datasets and translating insights into business value.
• Ability to work independently while collaborating effectively within cross-functional teams.

How to Apply

If you are an experienced Senior Data Scientist looking to deliver impactful machine learning and AI projects, apply today to learn more.

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Data Modeler
£600 – £700 per day
London (1 day onsite)

This is a high‑impact freelance opportunity to shape the data foundations of a large, complex organisation as it consolidates fragmented platforms and enables self‑service analytics and AI at scale. You will play a pivotal role in defining how enterprise data is structured, governed, and consumed, working at the intersection of business, engineering, and governance.

The Company
They are a large, asset‑rich organisation operating across multiple European markets within the commercial real estate and infrastructure space. The business manages complex financial, operational, and customer data across a diverse portfolio and is investing heavily in modern data capabilities. With strong cash generation and long‑term growth initiatives, data quality and modelling are central to their future strategy.

The Role and Deliverables

• Lead the design of enterprise logical and physical data models aligned to a single core ERP and wider business domains.
• Work through a defined backlog, breaking down high‑level requirements into clear modelling deliverables and standards.
• Partner closely with data engineers to translate logical models into scalable physical implementations across the SQL, Databricks, and Fabric ecosystem.
• Define a repeatable, “cookie‑cutter” approach to data modelling that can be extended across additional business areas.
• Collaborate with business analysts, governance, and data teams to establish modelling standards and best practices.
• Deliver a robust, extensible data model within the first six months that supports current reporting needs and future AI enablement.

Your Skills & Experience

• Strong experience designing enterprise‑level logical and physical data models within complex organisations.
• Ability to operate in early‑stage or evolving data environments without heavy modelling tools, using pragmatic approaches.
• Experience working closely with data engineers, governance teams, and business stakeholders to align models to real‑world use cases.
• Confident, proactive communicator who can challenge constructively, stand their ground when needed, and remain sensitive to different stakeholder perspectives.
• Self‑starter mindset, able to take ownership of ambiguous problems and drive them through to delivery.

How to Apply
Apply now to explore this contract opportunity and discuss how you could help shape a scalable, future‑ready data platform.

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Data Scientist, Sales Operations (Contract)

Harnham, the leading recruitment specialist in Data and AI, is currently partnering with an operator-led AI consultancy focused on helping B2B software companies build agentic GTM and revenue operations solutions. The business works closely with clients to design, validate, and scale AI-driven territory, quota, and sales optimization models, combining deep Sales Operations expertise with advanced Data Science and AI capabilities.

• Role: Data Scientist, Sales Operations (Contract)
• Location: San Francisco ( Hybrid 2-3x per week)
• Pay: $80 – $95 per hour W2 (some flex if you have your own LLC)
• Length: Extendable 3-month initial contract
• Utilization: 40 hr/week
• Benefits: Full Benefits

As a Data Scientist, you will support a strategic AI consulting engagement focused on transforming sales planning and GTM operations through predictive analytics and AI. You will work directly with territory operations, sales leadership, and revenue operations teams to build and validate predictive territory and quota models using historical sales performance data. This work will establish the foundation for future agentic AI solutions designed to optimize revenue performance at scale.

Key Responsibilities:

• Partner with territory operations and sales leadership stakeholders to understand existing methodologies and business processes.
• Analyze historical sales, quota, attainment, and territory data to identify patterns and optimization opportunities.
• Clean, manipulate, validate, and prepare large datasets for predictive modeling initiatives.
• Build predictive territory and quota models using machine learning and statistical techniques.
• Test and validate models against historical sales performance and attainment data.
• Advise clients on GTM optimization, territory design, quota planning, and AI-driven decision-making best practices.
• Document methodologies, recommendations, and frameworks to enable future internal adoption and future AI agent development.

Requirements:

• Strong experience with Python and machine learning model development.
• Proven experience building predictive models using sales, territory, quota, attainment, or commercial performance data.
• Deep understanding of Sales Operations, Revenue Operations, GTM Analytics, or Commercial Strategy functions.
• Ability to communicate sophisticated analytical concepts to non-technical and executive audiences.
• Experience with Salesforce and GTM systems is preferred.
• Experience building agentic AI, automation, or AI-driven solutions is highly desirable.

Next Steps:

If interested in this opportunity, please apply below or contact Ciarán to learn more

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Data Scientist – Sales Operations (Contract)

Location: Remote (US Based)
Contract Length: 3 Months Initial Contract
Rate: Up to $110 per hour
Travel: 2 x 2-3 day trips to San Francisco during the project

The Opportunity

We’re partnering with an innovative B2B SaaS organisation seeking a Data Scientist with strong Sales Operations and GTM Analytics expertise to support a high-impact territory planning and quota optimisation initiative.

This is a hands-on contract role focused on developing predictive models that support territory design, quota allocation, and attainment forecasting. The successful consultant will work closely with business stakeholders to create data-driven frameworks that influence strategic sales planning decisions.

This engagement is centred around proof-of-concept and modelling work rather than production deployment, making it an excellent opportunity for someone who enjoys solving complex business problems using real-world commercial data.

Key Responsibilities

• Develop attainment models that connect territory composition factors such as account volume, TAM, pipeline, industry mix, geographic distribution, and opportunity potential to historical sales performance.
• Build predictive quota allocation models that align sales targets with financial plans and historical attainment data.
• Design and validate territory optimisation methodologies for both Sales and Customer Success organisations.
• Analyse and model large exported datasets using statistical and data science techniques.
• Validate model outputs against historical business performance and stakeholder expectations.
• Partner with business leaders to refine assumptions, test hypotheses, and present recommendations.
• Document methodologies, assumptions, and modelling approaches to ensure knowledge transfer and future scalability.
• Present findings and recommendations to senior stakeholders and support decision-making processes.

Required Experience

• Strong background in SaaS Sales Operations, Revenue Operations, GTM Analytics, or Commercial Strategy.
• Proven experience working with territory planning, quota setting, sales performance, or attainment analysis.
• Hands-on data science experience applying statistical modelling techniques to complex business datasets.
• Experience working with imperfect, real-world commercial data rather than purely academic or benchmark datasets.
• Strong stakeholder management and client-facing communication skills.
• Ability to operate effectively in fast-moving environments with evolving requirements.
• Excellent written documentation and presentation skills.

Technical Skills

• Strong SQL and Python (or R) experience.
• Advanced Excel and Google Sheets capabilities.
• Experience building predictive models and applying statistical techniques to business problems.
• Ability to work directly with exported data sources and spreadsheets rather than fully integrated data warehouse environments.
• Familiarity with model validation, forecasting, and business performance analysis.

Nice to Have

• Experience with territory design, quota planning, or sales compensation programmes.
• Knowledge of Salesforce data models and CRM reporting structures.
• Exposure to rules-based, AI-driven, or agentic modelling approaches.
• Experience working with Customer Success operational datasets.

Contract Details

• Initial 3-month contract.
• Fully remote engagement.
• Up to $110/hour.
• Two short business trips to San Francisco (2-3 days each) during the engagement.
• Potential for extension based on project requirements and performance.

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Principal Data Architect

Remote (Client is in Mountain Time) | 6 Month contract | Extendable | NO THIRD PARTIES OR AGENCIES

A major retail organization is seeking a Principal Data Architect to help shape the future of its cloud data platform. This is a high-impact opportunity to lead the design and implementation of modern Lakehouse and data warehouse solutions that support enterprise analytics, AI/ML initiatives, and business-critical decision making.

You’ll work closely with business leaders, engineering teams, and data stakeholders to define architecture standards, drive platform strategy, and build scalable solutions across modern cloud environments.

What You’ll Do

• Lead the architecture and implementation of enterprise Lakehouse and cloud data warehouse solutions
• Design scalable, secure, and high-performing data platforms across AWS, Azure, and/or GCP
• Partner with stakeholders to translate business requirements into technical solutions
• Establish data governance, quality, and security best practices
• Define reusable frameworks, accelerators, and architecture standards
• Guide and mentor data engineering teams throughout delivery
• Drive automation, orchestration, and CI/CD best practices
• Support analytics and AI/ML initiatives through modern data platform design
• Present architectural recommendations and solution strategies to executive stakeholders

What We’re Looking For

• 7+ years of experience in data architecture, data engineering, or analytics engineering
• Deep expertise designing modern Lakehouse and cloud data platforms
• Strong experience with Databricks, Spark, and distributed data processing
• Hands-on experience with AWS, Azure, or GCP (multiple cloud environments preferred)
• Strong understanding of data modeling, governance, security, and data quality frameworks
• Experience with Terraform, Git, CI/CD, and infrastructure automation
• Strong communication, leadership, and stakeholder management skills

Preferred Experience

• Databricks certification and/or cloud certifications
• Experience with Delta Lake, Iceberg, Hudi, and modern Lakehouse architectures
• Experience with Delta Live Tables, dbt, and real-time data pipelines
• Understanding of MLOps and AI/ML platform enablement
• Experience leading enterprise-scale modernization initiatives

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Senior Cloud Data Engineer

2 Days Onsite, 3 Remote | 6-month Contract | NO AGENCIES OR THIRD PARTIES

Are you an experienced Data Engineer who enjoys building modern cloud data platforms at scale?

Our client (media & streaming) is seeking a Senior Cloud Data Engineer to help design, optimize, and expand enterprise data solutions that power analytics, reporting, and strategic business initiatives. This is an opportunity to work with modern technologies including AWS, Databricks, BigQuery, and Terraform while solving complex data challenges in a highly collaborative environment.

What You’ll Do

• Design and develop scalable data pipelines within AWS and Databricks environments
• Build and maintain data models, transformation logic, and enterprise datasets
• Optimize data workflows for performance, reliability, and cost efficiency
• Automate infrastructure and deployment processes using Terraform and CI/CD practices
• Partner with analysts, data scientists, and business stakeholders to deliver trusted data solutions
• Ensure data quality, governance, and security across the data ecosystem
• Support and enhance cloud-based data infrastructure and platform operations

What We’re Looking For

• 7+ years of Data Engineering experience
• Strong expertise with AWS cloud technologies
• Experience with Databricks, BigQuery, Dataflow, and Airflow
• Advanced SQL and Python skills
• Deep understanding of data warehousing, data lakes, and ETL/ELT best practices
• Experience with Terraform and infrastructure automation
• Strong communication and problem-solving abilities

Nice to Have

• Experience with dbt, Tableau, Looker, Power BI, or similar analytics tools
• Experience working at media or streaming companies

To Apply for this Job Click Here

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Data Scientist (Private Equity Value Creation)

Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a PE-backed mid-market consulting and value creation business that helps portfolio companies unlock value through data, analytics, AI, and operational transformation initiatives. The team works directly with executive stakeholders to identify opportunities, implement modern data solutions, and deliver measurable business impact across a diverse client portfolio.

• Role: Data Scientist
• Location: Remote (Preference for candidates based near New York or Atlanta)
• Pay: $80 – $120 per hour
• Length: 3 – 6 month initial contract
• Utilization: 40 hr/week
• Benefits: 401k, Medical, Vision etc

As a Data Scientist, you will join a high-performing “Rapid Squad” focused on helping private equity-backed businesses accelerate value creation through data and AI. Working within small teams of 2-3 consultants, you will support end-to-end delivery from due diligence and opportunity identification through to the implementation of advanced analytics, machine learning, and modern data platforms.

You will partner directly with client executives, including CFOs, CROs, IT leaders, and business stakeholders, to assess technology landscapes, identify opportunities for improvement, and build solutions that drive operational and financial outcomes.

Key Responsibilities:

• Work directly with CFOs, CROs, and technology leaders to identify opportunities across areas such as forecasting, AP/AR optimization, and operational performance.
• Design, build, and deploy advanced analytics and machine learning solutions.
• Collaborate within small, cross-functional implementation teams delivering end-to-end data and analytics projects.
• Support the implementation of modern data platforms and analytics solutions using Snowflake, Databricks, and Power BI.
• Evaluate existing data architectures and recommend scalable data science and data engineering solutions.
• Translate complex business problems into actionable analytical frameworks and measurable outcomes.
• Contribute to engagements across manufacturing, retail, and healthcare clients.

Requirements:

• Hands-on experience with forecasting and predictive analytics use cases.
• Deep understanding of modern data platforms, including Snowflake and Databricks.
• Experience working with data visualization and reporting tools such as Power BI.
• Experience designing and evaluating experiments and statistical testing frameworks.
• Exposure to Generative AI and Large Language Models (LLMs).
• Previous experience supporting consulting, private equity, value creation, transformation, or portfolio operations initiatives is highly desirable.
• Former FP&A, strategy, or business analytics experience is considered a strong advantage.

Next Actions

If interested in this position or in exploring contract/consulting opportunities within the Data Science world, please feel free to reach out and contact Ciarán at Harnham

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Senior Data Engineer – Snowflake

Remote (EST Preferred) | 9-Month Contract | $75-$90/hr | High Extension Potential | NO THIRD PARTIES OR AGENCIES

Are you passionate about building modern data platforms that power real-world impact?

A growing healthcare technology organization is seeking a Senior Data Engineer to help scale its data ecosystem and enable better insights, reporting, and decision-making across the business.

In this role, you’ll design high-performance data pipelines, improve data quality, and build scalable solutions that support both operational and analytical initiatives.

What You’ll Do

• Develop and maintain scalable batch and streaming data pipelines
• Build robust data models and data infrastructure that support analytics and reporting
• Improve data quality through automated validation, testing, and monitoring frameworks
• Design and support APIs, data services, and integration solutions
• Optimize performance, reliability, and scalability across cloud-based environments
• Partner with Product, Engineering, Analytics, and Operations teams to deliver impactful data solutions
• Contribute to data architecture, governance, and long-term platform strategy

What We’re Looking For

• 5+ years of Data Engineering experience
• Strong SQL and Python development skills
• Experience building production-grade ETL/ELT pipelines
• Hands-on expertise with technologies such as Snowflake, dbt, Kafka, PostgreSQL, MongoDB, or similar tools
• Experience working within AWS or another cloud environment
• Strong understanding of data modeling, APIs, and scalable architecture
• Excellent communication and cross-functional collaboration skills

Nice to Have

• Data observability, lineage, or cataloging experience
• Experience in healthcare, highly regulated industries, or governance-focused environments
• Exposure to data product development or domain-driven data practices

Why Apply?

• Fully remote opportunity
• High-impact project within a growing healthcare technology organization
• Long-term engagement with strong extension potential
• Opportunity to influence data architecture and platform strategy

If you’re looking to build modern data solutions that directly support business growth and innovation, we’d love to hear from you.

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Product Analyst (Contract)

London-based

£500 per day outside (IR35)

3-Month Contract

Hybrid, Remote

This is an opportunity to join a data-driven organisation at a pivotal stage of growth, where analytics plays a central role in shaping product strategy. You will work closely with product, engineering and commercial teams, using insight, experimentation and measurement to influence decisions and improve user outcomes.

The Company

They are a digitally native organisation with data embedded in everyday decision-making. An established analytics function works in close partnership with teams across the business to enhance user and partner experiences. The organisation continues to invest in modern analytics capabilities, experimentation practices and scalable data infrastructure. Collaboration, transparency and continuous learning are central to their culture.

The Role and Deliverables

• Partner with product and business stakeholders to analyse user behaviour, identify pain points and uncover opportunities through quantitative analysis.
• Design and support experiments, develop hypotheses and help evaluate the impact of product initiatives.
• Define, document and align key business and product metrics, ensuring robust and reliable measurement frameworks.
• Collaborate with engineering teams to maintain high-quality data foundations and consistent reporting standards.
• Build and maintain dashboards and self-service analytics tools that support data-informed decision-making.
• Deliver in-depth analysis and actionable recommendations to guide product strategy and business performance.

Your Skills & Experience

• Strong experience applying analytics within a product-focused or digitally native environment.
• Proficiency in SQL and experience using Python or R for analysis.
• Familiarity with modern BI, analytics and visualisation platforms.
• Ability to translate complex business questions into structured analytical approaches and clear recommendations.
• Strong data storytelling and stakeholder management skills, with confidence presenting insights to a range of audiences.
• Curious, proactive and detail-oriented, with a strong interest in understanding user behaviour.
• Comfortable working independently while collaborating effectively with cross-functional teams.

How to Apply

Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

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