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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Lead Data Engineer
Austin, TX
$175000 - $200000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
LEAD DATA ENGINEER (HEALTHCARE ANALYTICS PLATFORM)
REMOTE (US)
$175,000 – $200,000 BASE + BENEFITS
The Opportunity
We’re partnering with a rapidly growing SaaS company that helps healthcare, public sector, and human services organizations transform complex data into actionable insights. They’re seeking a Lead Data Engineer to play a key role in evolving and scaling a customer-facing analytics platform used to drive meaningful outcomes across healthcare and community programs.
This is a highly impactful, hands-on technical leadership position for someone who enjoys solving complex data challenges, influencing architecture, mentoring engineers, and owning critical data systems from end to end.
The role combines deep technical execution with strategic influence, making it ideal for a senior engineer who wants to shape the direction of a data platform while remaining close to the technology.
The Engineering Environment
The team operates in a collaborative, customer-focused environment centered around:
- Large-scale data ingestion and transformation
- Customer-facing analytics and reporting solutions
- Modern ELT data pipelines
- Cloud-based data platforms and orchestration frameworks
- Data modeling and architecture best practices
- Continuous improvement, automation, and scalability
- Cross-functional collaboration with Product, Analytics, Customer Success, and Implementation teams
What You’ll Be Working On
- Design, build, and maintain scalable data pipelines that power analytics products and customer reporting
- Lead architecture discussions and make recommendations around data platform improvements
- Develop and optimize data models used across reporting and analytics systems
- Integrate, onboard, and transform new customer data sources
- Troubleshoot customer-facing data issues and drive long-term solutions
- Improve reliability, automation, observability, and operational efficiency across the data platform
- Lead complex technical initiatives from planning and design through deployment and support
- Establish engineering standards, best practices, and technical frameworks
- Mentor and guide other engineers while helping elevate overall team capabilities
- Influence platform roadmap decisions and the future direction of the data engineering function
What We’re Looking For
- 7-10+ years of software or data engineering experience
- 5+ years of hands-on data engineering experience
- Expert-level SQL skills
- Strong Python experience focused on data processing and pipeline development
- Deep experience building and supporting large-scale ELT/ETL data pipelines
- Strong data modeling and data architecture expertise
- Experience with workflow orchestration tools such as Airflow, Dagster, or similar platforms
- Experience working with large, complex datasets and varying levels of data quality
- Proven technical leadership experience mentoring engineers or leading small engineering teams
- Ability to evaluate technical tradeoffs and make architecture recommendations
- Strong communication skills with both technical and non-technical stakeholders
Nice to Have
- Healthcare or healthcare analytics experience
- dbt experience
- PostgreSQL expertise
- Experience across multiple database technologies
- Background modernizing or migrating enterprise data platforms
- Experience supporting customer-facing analytics products
Why This Role
- Lead-level scope with significant technical ownership and influence
- Opportunity to shape the architecture and future direction of a growing data platform
- Highly visible work that directly impacts customers and end users
- Strong balance of hands-on engineering and technical leadership
- Collaborative, mission-driven environment focused on improving healthcare outcomes
- Fully remote work environment
- Potential long-term path into engineering leadership and people management
- Competitive compensation package and comprehensive benefits
This is an opportunity for a senior data engineering leader who enjoys solving ambiguous problems, building scalable data solutions, influencing architecture decisions, and helping teams deliver trusted analytics products at scale.
To Apply for this Job Click Here
Lead Backend Engineer – AI Services
Austin, TX
$175000 - $200000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
LEAD BACKEND ENGINEER – AI PLATFORM & SERVICES
REMOTE (U.S.)
$175,000 – $210,000 BASE + BENEFITS
The Opportunity We’re partnering with a growing SaaS organization that is investing heavily in AI and advanced analytics to build the next generation of intelligent software solutions. The company is looking for a Lead Backend Engineer to play a key role in bringing AI-powered capabilities to market. You’ll work at the intersection of software engineering, platform architecture, and machine learning, helping transform AI concepts into scalable, customer-facing products. This is a hands-on technical leadership position for someone who enjoys building systems, solving complex engineering challenges, and influencing technical direction without moving into people management.
The Engineering Environment The team is focused on:
- Modern cloud-based platform development
- Scalable backend architecture and distributed systems
- Production AI and machine learning applications
- Close collaboration between Engineering and Data Science
- Platform modernization and long-term technical strategy
- Agile development, CI/CD, and engineering best practices
What You’ll Do
- Design and build scalable backend systems that support AI-driven products and services
- Deploy and integrate technologies such as LLMs, generative AI, RAG, predictive models, and intelligent workflows
- Partner with Data Science teams to move machine learning models from experimentation into production
- Create reusable services and infrastructure that accelerate future AI development
- Lead technical initiatives from architecture and design through implementation and deployment
- Evaluate emerging technologies and help shape platform strategy
- Improve performance, reliability, scalability, and security across the platform
- Provide technical guidance and communicate architectural recommendations to stakeholders and leadership
What We’re Looking For
- 15+ years of software engineering experience
- Deep expertise in backend development with Java
- Experience designing and supporting large-scale SaaS or enterprise platforms
- Track record of delivering AI or machine learning solutions into production environments
- Experience working closely with Data Scientists and ML teams
- Strong architecture, system design, and technical leadership capabilities
- Cloud experience with AWS, Azure, or GCP
- Strong understanding of software quality, CI/CD, monitoring, security, and scalability
- Exposure to technologies such as Python, FastAPI, LangChain, vector databases, RAG, ML pipelines, model serving, or LLM integrations is a plus
Why This Role
- Direct influence on the company’s AI strategy and roadmap
- Build AI-powered products that have real customer impact
- High ownership and visibility across engineering leadership
- Work alongside product, data science, and executive stakeholders
- Opportunity to solve challenging technical problems at scale
- Fully remote work environment
- Competitive compensation and comprehensive benefits package
This is an excellent opportunity for a senior-level backend engineer who wants to remain hands-on while helping shape the future of AI-enabled products. The ideal candidate has a strong Java foundation, has successfully delivered AI capabilities into production, and enjoys turning innovative ideas into scalable, real-world solutions.
To Apply for this Job Click Here
Senior Product Engineer
London
£115000 - £140000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Product Engineer
£115,000 to £140,000 + Equity
Liverpool St., London
This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.
THE COMPANY
They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.
Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.
THE ROLE
As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.
Specifically, you can expect to be involved in the following:
- Building and scaling a production-grade AI product from the ground up
- Designing and developing APIs and backend services that power enterprise customer integrations
- Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
- Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
- Working across the stack to deliver customer-facing features and platform capabilities
- Collaborating with stakeholders to translate customer feedback into product improvements
- Establishing engineering best practices across architecture, testing, deployment, and delivery
- Contributing to technical strategy and product roadmap decisions
SKILLS AND EXPERIENCE
The successful Senior Product Engineer will have the following skills and experience:
- Strong commercial experience as a Product Software Engineer or Software Engineer
- Experience building and scaling an LLM-enabled product from concept through to production
- Strong backend engineering expertise, ideally within API-first products
- Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
- Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
- Experience managing token usage, infrastructure costs, and scalability challenges in AI products
- Comfortable working autonomously in a startup or high-growth environment
- Strong product mindset with the ability to make technical and commercial decisions
- Excellent communication and stakeholder management skills
- React experience is beneficial but not essential
- Experience within Financial Services or other regulated industries would be advantageous
BENEFITS
The successful Senior Product Engineer will receive the following benefits:
- Salary between £115,000 – £140,000 – depending on experience
- Equity
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Data Engineering Lead
London
£70000 - £90000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Data Engineering Lead
£70,000 – £90,000
London (1 day a week in office)
This is a rare opportunity to join a high-growth consumer business as its first dedicated data hire. You’ll have the chance to take ownership of an evolving data function, improve existing infrastructure, drive automation, and play a key role in shaping how the organisation uses data to support commercial decision-making. With significant scope for progression, this role offers a clear pathway into future leadership.
THE COMPANY
This fast-growing consumer business operates across multiple sales channels and international markets. Having experienced rapid growth and increasing operational complexity, they have invested in building the foundations of a modern data platform and are now looking to bring greater ownership and expertise in-house.
The business has already established a cloud-based data environment and is committed to becoming increasingly data-driven. As they continue to scale, data will play a critical role in supporting commercial performance, customer growth, operational efficiency, and future AI initiatives.
THE ROLE
As a Data Engineering Lead you will be responsible for developing and enhancing the organisation’s data capability while acting as the internal expert across engineering, analytics, reporting, and automation.
Specifically, you can expect to be involved in the following:
- Building, maintaining, and improving data pipelines and integrations
- Managing and developing the data warehouse and transformation layers
- Driving automation of manual reporting and analysis processes
- Supporting business stakeholders with trusted reporting and insights
- Developing dashboards and BI solutions using Power BI
- Integrating new data sources, including subscription and recurring revenue data
- Improving data quality, documentation, governance, and accessibility
- Working closely with commercial, marketing, and operational teams
- Contributing to the organisation’s longer-term AI and data strategy
- Helping shape and grow the future data function
SKILLS AND EXPERIENCE
The successful Data Engineering Lead will have the following skills and experience:
- Strong SQL and Python skills
- Experience working with cloud data warehouses, ideally BigQuery
- Knowledge of dbt or similar transformation frameworks
- Experience building and maintaining data pipelines and ETL/ELT processes
- Exposure to BI and dashboarding tools, particularly Power BI
- Experience working with customer, marketing, revenue, or operational data
- Understanding of subscription, recurring revenue, or customer lifecycle analytics
- Ability to work independently and navigate ambiguity in a growing business
- Strong stakeholder management and communication skills
BENEFITS
The successful Data Engineering Lead will receive the following benefits:
- Salary between £70,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior BI Developer
London
£450 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Senior BI Developer
6 Months | Outside IR35 | £450-500pd | London (1-2 Days per Week) | Immediate Start
THE COMPANY
A leading consulting organisation is seeking a Senior BI Developer to support a major Finance BI transformation programme centred around Microsoft Fabric, Power BI and enterprise data warehousing.
THE ROLE
You’ll be responsible for developing and enhancing finance reporting solutions, working closely with Business Analysts, Architects and stakeholders to deliver key reporting initiatives across Revenue Recognition, Working Capital and Margin Reporting.
RESPONSIBILITIES
- Develop and maintain data warehouse solutions and semantic models
- Design and build Power BI reports and dashboards
- Develop and optimise Microsoft Fabric solutions
- Build, test and maintain ETL pipelines using SQL and SSIS
- Develop and optimise SSAS Cubes and Tabular Models
- Support BI performance tuning and optimisation
- Contribute to CI/CD and deployment processes
- Maintain technical documentation within Azure DevOps
SKILLS & EXPERIENCE
Essential
- Strong Power BI development experience
- Proven Microsoft Fabric implementation experience
- Strong SQL Server and T-SQL skills
- Experience with SSIS, ETL and data integration
- Strong SSAS Cube and Tabular Model experience
- Data Warehousing and Data Modelling expertise
- Experience with SSDT, Visual Studio and Azure DevOps
- Experience with BI CI/CD and deployment processes
- Strong stakeholder engagement skills
Desirable
- Experience delivering finance reporting solutions including:
- Revenue Recognition
- Working Capital
- Margin/Profitability Reporting
- Financial KPI Reporting
- Professional Services or Consulting experience
To Apply for this Job Click Here
Data Protection/Data Governance Engineer
London
£560 - £640
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Data Protection / Data Governance Engineer
3 Month Contract | Outside IR35 | £560-£640 per day
London (1 day per week)
A leading digital media and technology business is looking for a Data Protection / Data Governance Engineer to lead a critical governance transformation across a large-scale Google Cloud environment.
This is a hands-on contract focused on moving data governance from policy into practice. The organisation already has governance frameworks in place but now requires an experienced contractor to establish ownership, implement technical controls, and ensure governance is embedded across its cloud and data platforms.
You’ll work closely with Legal, the DPO, Platform Engineering and senior leadership to build a scalable governance capability that balances compliance with business agility.
The Role
Over a 12-week engagement, you will assess and improve a complex GCP estate, implement governance controls, and establish processes that enable the business to meet its data protection and retention obligations.
Success in this role means delivering practical, sustainable governance that is automated wherever possible and can be operated by the permanent team following handover.
Key Responsibilities
- Assess and remediate governance gaps across a large Google Cloud Platform environment.
- Design and implement least-privilege and zero-trust access controls.
- Review and optimise IAM, RBAC, service accounts and organisation policies.
- Work with Legal and Compliance stakeholders to translate policy requirements into technical controls.
- Classify data and implement retention standards across cloud platforms.
- Review large volumes of historical and archived data to determine appropriate retention and deletion approaches.
- Restructure and govern BigQuery datasets to support automated retention and access controls.
- Implement governance controls through Terraform and Infrastructure as Code.
- Establish a practical DPIA process and governance workflows.
- Introduce governance standards across key SaaS platforms including GA4, Meta and Xtremepush.
- Produce documentation, operating procedures and handover packs for the permanent team.
Your Skills & Experience
Essential
- Strong hands-on experience with Google Cloud Platform (GCP).
- Expertise in IAM, RBAC, Organisation Policies and Service Accounts.
- Experience implementing least-privilege and zero-trust security models.
- Strong BigQuery governance and security experience.
- Terraform or equivalent Infrastructure as Code expertise.
- Experience delivering data governance, data protection or cloud governance programmes.
- Strong understanding of GDPR, data retention, DPIAs and broader data protection principles.
- Experience working across Engineering, Legal, Compliance and business stakeholders.
- Proven track record delivering contract engagements independently.
Desirable
- Experience within regulated industries such as Gambling, Gaming, Financial Services, FinTech or Insurance.
- Experience with DLP tooling and data classification frameworks.
- Experience governing SaaS platforms containing personal data.
- Previous experience working within large, complex cloud estates.
To Apply for this Job Click Here
Business Analyst
London
£500 - £550
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Finance BI Transformation | Microsoft Fabric | Outside IR35
£500-550 per day
Outside IR35
6 Month Initial Contract
London (1-2 Days Per Week)
A leading global consultancy is seeking a Senior Business Analyst to support a major Finance BI transformation programme. The organisation is migrating finance reporting from legacy SQL Server and SSAS environments into a consolidated Microsoft Fabric FinanceBI semantic model, creating a modern reporting and analytics capability across key finance functions.
This is a highly visible role where you’ll act as the senior functional lead across requirements gathering, specification development, UAT and change management, whilst helping bring structure and direction to a growing BA function.
The Role
You’ll work closely with Finance stakeholders, Architects, Developers and the wider BI team to translate business requirements into scalable reporting and data solutions.
Key responsibilities include:
- Leading requirements gathering workshops with Finance stakeholders
- Converting business requirements into detailed functional specifications
- Acting as the key liaison between Finance and technology teams
- Defining data model, reporting and governance requirements
- Supporting the design of scalable ETL and reporting solutions
- Owning UAT planning, execution support and defect triage processes
- Designing and coordinating change management activities for go-lives
- Producing process maps, data dictionaries and requirements documentation
- Providing leadership and structure to the wider BA pod
- Supporting delivery across multiple Finance BI workstreams
Key Projects
You’ll be delivering against a strategic Finance BI roadmap including:
- Finance BI Semantic Model build within Microsoft Fabric
- Case Margin Reporting
- Working Capital Reporting
- Revenue Recognition Reporting
- Sold vs Actual Case Margin Insights
- Global Finance Reporting Dimensions
- Investment Insights and Analytics
Requirements
We’re looking for candidates who can demonstrate:
- Strong experience as a Senior or Lead Business Analyst delivering BI, Data Warehouse, Analytics or Data Platform programmes
- Proven track record gathering requirements, producing detailed functional specifications and leading UAT processes
- Strong stakeholder management across both Finance and Technology teams
- Experience leading or mentoring Business Analysts within a project environment
- Experience working on Finance Reporting, Finance Transformation or Finance Systems programmes
- Strong understanding of data modelling, reporting and analytics solutions
- Ability to bring structure and governance to a fast-moving agile delivery environment
Essential Domain Experience
Candidates must be able to demonstrate experience delivering these finance reporting workstreams:
- Case Margin Reporting
- Working Capital Reporting
- Revenue Recognition Reporting
- Margin, Profitability or Sold vs Actual Analysis
- Global Finance Reporting and Dimensional Models
- Investment Reporting, Insights or Analytics
Applicants who can demonstrate multiple examples across these areas will be particularly well suited to the programme.
Highly Desirable
- Microsoft Fabric experience
- Power BI experience
- SQL Server / SSAS environments
- Finance Data Warehouse or Semantic Model programmes
- Change Management ownership
- Professional Services, Consultancy or Partnership environments
- Experience operating within complex stakeholder landscapes
To Apply for this Job Click Here
Head of Commerical Analytics
London
£100000 - £140000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Head of Analytics, Commercial Strategy
London (Hybrid) | £120,000 – £150,000 + Bonus + Equity
A rare opportunity to own pricing, commercial analytics, and growth strategy within a fast-scaling fintech business. You’ll work closely with senior leadership to drive revenue growth, optimise customer propositions, and shape key commercial decisions.
The Company
This high-growth fintech business is using technology, data, and analytics to transform how consumers access products through flexible subscription models. With strong backing, impressive growth, and ambitious expansion plans, analytics sits at the heart of decision-making across the organisation.
The Role
You will lead commercial analytics and pricing strategy across the business.
Responsibilities include:
- Owning pricing strategy and experimentation
- Analysing unit economics, profitability, and growth opportunities
- Supporting new commercial partnerships with pricing and financial modelling
- Partnering with Product, Finance, Risk, and Commercial teams
- Building scalable analytics tools and frameworks
- Presenting insights and recommendations to senior stakeholders
Your Skills & Experience
- Strong experience in commercial analytics, pricing, strategy, or growth analytics
- Advanced SQL and Python skills
- Experience working with large datasets and experimentation frameworks
- Ability to influence senior stakeholders and drive business decisions
- Background in fintech, lending, ecommerce, subscriptions, or digital businesses preferred
What They Offer
- £120,000 – £150,000 base salary
- Bonus and equity
- Private healthcare
- Learning and development budget
- Hybrid working model
- Excellent progression opportunities
How to Apply
If you’re looking for a commercially focused analytics leadership role with significant business impact, please apply today.
To Apply for this Job Click Here
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