data & AI
Diversity Report
DIVERSITY GUIDES 2022
An in-depth look into diversity within Data & AI, we have been carrying out primary research for a number of years to create annual diversity guides.
Download our previous editions, which have given us unrivalled insight into where the industry currently stands in its push for a more representative workforce.
They are here to highlight where the industry can improve, how it can improve and to help make those improvements.
USA DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
EU DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
UK DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
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DATA & AI SALARYÂ GUIDE 2024
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Senior Data Engineer
Chicago
$130000 - $150000
+ Data Engineering
PermanentChicago, Illinois
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Senior Analytics Engineer
Chicago, IL (Hybrid)
$110,000 – $150,000 + Bonus
A fast-growing financial services company is looking for a Senior Analytics Engineer to join a high-impact, business-facing data team. This role sits at the intersection of analytics engineering and data engineering, with a strong focus on SQL, data modeling, and building trusted datasets from complex source systems.
This is a hands-on position where you will work directly with raw data, design scalable data models, and take full ownership of pipelines from ingestion through to business-ready outputs. The environment is fast-paced and requires someone comfortable operating with ambiguity, solving problems independently, and working closely with stakeholders across the business.
The Role
- Build and own end-to-end data pipelines from ingestion through staging to curated data marts
- Work directly with raw and imperfect data, identifying and resolving data quality issues upstream
- Design and implement scalable data models to support analytics and business decision-making
- Write complex, high-performance SQL to transform and validate data
- Develop and maintain workflows using modern data tools and orchestration frameworks
- Investigate and debug data issues across systems, ensuring accuracy and reliability
- Implement data quality checks and monitoring to prevent downstream issues
- Partner with business stakeholders to understand requirements and deliver trusted datasets
Requirements
- 5+ years of experience in analytics engineering or data engineering
- Advanced SQL skills including joins, window functions, and performance optimization
- Strong experience with data modeling, including building marts from raw data
- Hands-on experience with Snowflake, dbt, Airflow, and modern ELT workflows
- Proficiency in Python for data processing and automation
- Experience working with cloud platforms, ideally AWS
- Ability to work independently and solve problems in ambiguous environments
- Strong communication skills and experience working with non-technical stakeholders
Nice to Have
- Experience in financial services or other data-intensive industries
- Exposure to database performance tuning, indexing, and query optimization
- Experience working with messy or poorly documented data sources
This is an opportunity to join a lean, high-performing team where data plays a central role in driving business decisions. The role offers strong ownership, visibility, and the chance to build scalable data solutions from the ground up.
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GCP DevOps Engineer
London
£550 - £650
+ Data Engineering
ContractLondon
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Senior DevOps Engineer (GCP)
£550 – £650 per day
UK Remote
This is an opportunity to play a pivotal role in the build of a next-generation AI data platform. The project focuses on creating a scalable, secure, and highly automated cloud foundation that enables enterprise-grade AI use cases, supporting large-scale data processing and high-availability access services.
The Company
They are a technology-driven organisation investing in modern cloud infrastructure to support advanced AI and data products. Their focus is on delivering secure, scalable, and reliable platforms that enable long-term innovation. As part of a major transformation programme, they are building a cloud-native environment designed to support significant data volumes and mission-critical services. This engagement offers the chance to influence key architectural decisions and leave a lasting impact on the platform.
The Role and Deliverables
- Own the shared Google Cloud Platform foundation supporting multiple platform services and data products.
- Provision and maintain development, QA, and production environments using Terraform.
- Design and implement automated CI/CD pipelines, deployment workflows, rollback processes, and recovery procedures.
- Establish secure cloud infrastructure including IAM, secrets management, networking, and tenant isolation controls.
- Build observability capabilities through monitoring, logging, alerting, and reliability tooling.
- Create operational documentation, runbooks, and deliver knowledge transfer to support successful handover.
Your Skills & Experience
- Strong hands-on experience designing and managing enterprise-scale Google Cloud Platform environments.
- Advanced capability with Terraform and Infrastructure as Code best practices.
- Experience with Docker, OCI-compatible container technologies, and cloud-native compute services.
- Expertise building and maintaining modern CI/CD pipelines using tools such as GitHub Actions or GitLab CI.
- Strong understanding of security, IAM, cloud networking, secrets management, and security scanning tools.
- Proven ability to implement monitoring, logging, alerting, and platform observability solutions.
- Experience working across complex cloud ecosystems, including integration with other cloud platforms and modern data technologies.
- Ability to document solutions clearly and support operational handover to internal teams.
How to Apply
If you are a Senior DevOps Engineer with strong GCP and Terraform expertise and are looking to contribute to a high-impact AI platform project, please apply today.
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AI Product Manager
San Francisco
$215000 - $240000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
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AI Product Manager
San Francisco, CA (Hybrid | 3 Days Onsite)
Compensation: Up to $245,000 Base + Bonus
We’re partnering with an innovative, AI-first organization transforming complex business operations through intelligent automation and advanced AI technologies. This is a unique opportunity for an experienced AI Product Manager to lead the discovery, design, and delivery of high-impact AI solutions that directly influence business performance.
What You’ll Do
- Partner with business leaders to uncover opportunities for AI-driven transformation.
- Redesign workflows and processes using modern AI, LLMs, and agent-based technologies.
- Translate business needs into detailed product requirements and solution designs.
- Drive end-to-end execution with engineering teams and external technology partners.
- Define success metrics, quality frameworks, and adoption strategies to ensure measurable impact.
What We’re Looking For
- 3-5+ years of Product Management experience with exposure to AI-enabled products.
- Strong discovery, process-mapping, and stakeholder management skills.
- Ability to turn ambiguous challenges into clear product strategies and execution plans.
- Familiarity with AI/LLM technologies and their practical business applications.
- Experience in fast-paced, high-growth environments is highly preferred.
Why This Role?
Join a team where AI is already delivering real business value, not sitting in experimentation. You’ll have significant ownership, direct executive visibility, and the opportunity to shape the future of AI-powered products at scale.
Location: San Francisco, CA (Hybrid, 3 days onsite)
Salary: Up to $245,000 Base + Bonus
Work Authorization: US Citizen or Green Card holders – sponsorship not offered at this time
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Public Cloud Architect
Dallas
$190000 - $225000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
About the Opportunity
Are you a hands-on architect who thrives on building high-performance, automated private cloud infrastructure at a massive scale?
We are partnering with a large global technology and semiconductor manufacturing giant headquartered in Dallas, TX. Boasting over $17B+ in recent annual revenue and currently executing an aggressive $60B+ domestic infrastructure expansion, this organization is anchoring the future of global tech manufacturing.
We are seeking a Principal Private Cloud Architect to serve as the critical connective layer between their massive enterprise compute, storage, and network infrastructure. Reporting directly to the Director of Public + Private Cloud, this is a 100% hands-on role requiring a blend of deep platform engineering, SRE expertise, and architectural vision.
There is a recognized gap at both the engineering and architect levels; the current team leans heavily on policy and compliance, so we need a deeply technical builder who can establish high-performance infrastructure and true technical depth.
Note on Focus: This is a pure Private Cloud, Data Center Infrastructure, and Infrastructure-as-Code role. If you are looking for a strategy-heavy, pure public cloud role, this is not the right fit.
Key Responsibilities
- Bridge the Infrastructure: Act as the ultimate connective tissue between existing enterprise compute and storage hardware, ensuring the network layer is optimized and ready for next-gen workloads.
- Automate Everything: Drive an “Infrastructure as Code” mindset across the organization, focusing heavily on treating Kubernetes as code and implementing heavy automation (Terraform or similar).
- Architect & Engineer: Maintain absolute technical depth. You will not just draw diagrams; you will write code, build an internal “AWS-like” self-service developer platform, and actively engineer the platform.
- Secure by Design: Architect robust, end-to-end security frameworks directly into the infrastructure fabric from a design perspective, going beyond mere policy to implement zero-trust concepts.
Required Technical Expertise
- Experience: Minimum 8+ years of deep private cloud and enterprise data center infrastructure background.
- Container Platforms: Advanced mastery of Kubernetes as code, with production experience deploying enterprise container platforms like OpenShift or SUSE Rancher.
- Data & Streaming Ecosystems: Hands-on experience leveraging Kafka and Spark for distributed data processing and platform integration.
- Automation / IaC: Strong proficiency with Terraform or similar automation frameworks.
- Advanced Networking: Deep understanding of data center networking, including L2/L3, EVPN/VXLAN, SDN, and load balancing.
- Hybrid Integration: Proven ability to connect massive on-prem footprints to public cloud providers (AWS, Azure, or GCP).
Preferred/Nice-to-Haves
- Experience designing for High-Performance Computing (HPC) or GPU-based workloads.
- Familiarity with observability tools (Grafana, Prometheus) and GitOps frameworks.
What We Are NOT Looking For
- Pure public cloud architects who do not have a background in bare-metal or data center infrastructure.
- High-level strategists or policy-heavy managers who no longer possess deep, hands-on engineering capabilities.
- Candidates lacking practical Platform Engineering or SRE experience.
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Senior Data Scientist (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
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Senior Data Scientist (Contract)
3 Months Initial (possibility to extend)
Hybrid, London
£500 – £600 Per Day
Immediate Start
The Company
They are an early-stage AI organisation focused on developing advanced data products for a complex global industry. Their work combines machine learning, data modelling, and modern AI techniques to generate meaningful insights from rich, real-world datasets. With a strong technical culture and deep domain expertise, they are looking for an experienced contractor to help deliver critical data science capabilities at an important stage of growth.
The Role and Deliverables
- Profile, analyse, and explore complex industrial datasets to identify modelling opportunities and data quality considerations.
- Establish baseline approaches and define robust evaluation datasets, metrics, and validation frameworks.
- Build and deploy classification, matching, and inference models for production use.
- Measure model performance and produce detailed error analysis to support ongoing improvement.
- Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation processes.
- Collaborate with domain experts to translate complex business challenges into practical machine learning solutions.
Your Skills & Experience
- Strong experience building and deploying machine learning models in production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on use of pandas and scikit-learn.
- Strong statistical knowledge and the ability to design effective validation and evaluation methodologies.
- Experience assessing model performance, analysing errors, and communicating findings clearly.
- Capability to build or contribute to LLM-powered workflows with robust evaluation frameworks.
- Comfortable working independently and taking ownership of technical standards and delivery.
- Ability to work effectively with subject matter experts in unfamiliar domains.
How to Apply
If you’re a hands-on Senior Data Scientist looking for an impactful contract opportunity with a strong technical challenge, please apply with your latest CV for consideration.
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Director of Performance Marketing
London
£150000 - £200000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Director of Performance Marketing
Location: London (Hybrid, 2-3 days per week)
Salary: Competitive + Bonus
The Opportunity
We’re partnered with a high-growth digital business looking for a Director of Performance Marketing to lead customer acquisition strategy and drive the next phase of growth.
Reporting into the Chief Customer Officer, this is a senior leadership role responsible for shaping performance marketing strategy, scaling customer acquisition, and delivering profitable growth through a data-driven, test-and-learn approach.
What You’ll Be Doing
- Define and execute the long-term performance marketing strategy.
- Drive profitable customer acquisition across key digital channels.
- Develop channel investment frameworks and growth plans aligned to business objectives.
- Partner with Product, Analytics and Marketing teams to optimise customer journeys and conversion.
- Lead and develop a high-performing performance marketing function.
- Manage agency relationships and ensure effective execution across channels.
- Champion experimentation, innovation and continuous optimisation.
- Influence senior stakeholders and play a key role in broader customer growth strategy.
What We’re Looking For
- Proven experience leading large-scale performance marketing programmes.
- Strong background in fintech, digital, marketplace, subscription or technology businesses.
- Deep understanding of performance channels, customer acquisition and incrementality.
- Experience managing significant budgets and agency partnerships.
- Commercially focused with a strong understanding of growth, profitability and customer lifetime value.
- Data-driven mindset combined with strong strategic and leadership capabilities.
- Excellent stakeholder management and cross-functional collaboration skills.
How to Apply
If you’re interested in learning more about this opportunity, apply directly or get in touch with me.
To Apply for this Job Click Here
Senior Product Analyst
Manchester
£65000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentManchester, Greater Manchester
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Senior Product Analyst
£65,000-£70,000 + Bonus + Equity
Fully Remote (UK)
I’m hiring a Senior Product Analyst for one of the UK’s fastest-growing subscription marketplaces.
This is a genuinely product-focused analytics role where you’ll own the data and experimentation strategy behind a key part of the customer journey. You’ll work closely with Product, Growth, and Commercial teams to understand what drives conversion, activation, engagement, and retention, and influence what gets built next.
The role
You’ll be the lead analyst supporting product squads focused on new member growth and revenue.
This isn’t a reporting role. They’re looking for someone who can identify opportunities before they’re asked, challenge assumptions, and use data to shape product decisions.
You’ll own:
- Product analytics and customer journey analysis
- Experimentation and A/B testing
- Product performance measurement
- Feature tracking and instrumentation
- Stakeholder recommendations
- Analytics best practice across product teams
What you’ll be doing
- Analyse user behaviour across acquisition, onboarding, activation, and retention journeys
- Design and run A/B and multivariate experiments from hypothesis through to recommendation
- Define success metrics and tracking requirements for new features before launch
- Build dashboards and self-serve reporting solutions for product teams
- Translate complex analysis into actionable business recommendations
- Act as the analytical voice within product discussions and challenge decisions using evidence
- Mentor other analysts and help improve experimentation and analytics standards across the business
What they’re looking for
Must-haves
- Strong Product Analytics experience
- Advanced SQL
- Experience owning analysis end-to-end
- Strong experimentation and A/B testing knowledge
- Experience working with productanalytics platforms such as:
- Amplitude
- Mixpanel
- Segment
- Similar tools
- Excellent stakeholder management and communication skills
- Experience working in a subscription, marketplace, SaaS, or platform business
Nice to have
- Python or R
- dbt experience
- Experience using AI tools within analytics workflows
Why this role?
- Fully remote working
- High-impact product role with genuine ownership
- Strong experimentation culture
- Equity package and quarterly bonus
- Fast-growing global marketplace
- Opportunity to influence product strategy and growth at scale
- Excellent benefits and culture
Package
- £65,000-£70,000 salary
- Quarterly bonus scheme
- Generous equity package
- Fully remote working
- Private healthcare and dental cover
- £200 annual home office allowance
- Quarterly bonus scheme
- 25 days holiday plus bank holidays and festive shutdown
To Apply for this Job Click Here
Senior DevOps Engineer (GCP)
$65 - $90
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior DevOps Engineer (GCP)
About Harnham
Harnham is the global leader in Data & Analytics recruitment. We partner with organisations across cloud, AI, data engineering, and technology to connect top contract talent with transformational projects.
About the Client
Our client is a specialist consulting organisation delivering a high-profile cloud and AI transformation programme for a major enterprise organisation. The project focuses on building secure, scalable infrastructure that enables next-generation data products and services.
Role Details
- Role: Senior DevOps Engineer (GCP)
- Location: Remote (US based)
- Pay Rate: $65-$90/hr
- Contract Length: 4 Months
- Start Date: August 24th
About the Role
We are seeking a Senior DevOps Engineer to own the cloud platform foundation for a large-scale enterprise data initiative. This role will focus heavily on infrastructure automation, platform engineering, security, observability, and deployment automation.
The successful candidate will help establish a secure, highly available cloud environment while creating the tooling and processes needed to support ongoing delivery and operational excellence.
Key Responsibilities
- Build and maintain cloud infrastructure using Infrastructure as Code (Terraform)
- Design and support CI/CD pipelines across multiple services and applications
- Implement cloud security, IAM, networking, and secrets management controls
- Develop monitoring, alerting, and operational observability capabilities
- Partner with engineering teams to improve platform reliability and deployment processes
- Create operational runbooks and support knowledge-transfer activities
Requirements
Must Have
- Strong hands-on Google Cloud Platform (GCP) experience
- Advanced Terraform experience including state management
- Experience building modern CI/CD pipelines
- Containerisation experience using Docker and cloud-native platforms
- Strong cloud security, IAM, networking, and secrets management knowledge
- Monitoring and observability experience using cloud-native or third-party tooling
Nice to Have
- MLOps or AI platform support experience
- Experience with GitHub Actions or GitLab CI
- Exposure to Snowflake environments
- Cross-cloud experience working across GCP and AWS
- Experience supporting high-scale data processing platforms
Apply
If you enjoy building cloud platforms from the ground up and want to play a key role in a major cloud transformation programme, we’d be interested in speaking with you.
WE WILL NOT BE ENGAGING WITH THIRD PARTIES FOR THIS SEARCH
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