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
London
£500 - £550
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
The Role
This is an excellent opportunity to join a high-impact data transformation programme with a specialist consultancy delivering work for a fast-growing organisation in the financial services space. You’ll play a key role in building and enhancing a modern Databricks platform, working closely with experienced data professionals on a hands-on engineering project.
The Company
They are a specialist consultancy with deep expertise in cloud data platforms and modern data engineering. Working closely with their end client, they deliver scalable, enterprise-grade data solutions that support critical business operations. The project team is collaborative, highly technical, and focused on best practice across data engineering, governance, and platform optimisation.
The Role and Deliverables
- Build reusable data ingestion pipelines within an AWS Databricks environment.
- Develop and maintain Bronze, Silver, and Gold data layers using Medallion Architecture principles.
- Implement and manage metadata configuration, data governance, and data classification standards.
- Work with Unity Catalog to support secure, well-governed data access and management.
- Partner with data architecture teams to ensure alignment with the wider platform strategy.
- Drive improvements in data quality, platform efficiency, and cloud cost optimisation.
Your Skills & Experience
- Strong hands-on experience with AWS Databricks in a recent commercial environment.
- Advanced knowledge of Databricks architecture, tooling, and best practices.
- Strong experience with Unity Catalog and data governance frameworks.
- Proven capability in building scalable ingestion and transformation pipelines.
- Experience working with Medallion Architecture and managing Bronze, Silver, and Gold data layers.
- Strong understanding of metadata management, data classification, and data quality processes.
- Comfortable with data modelling within Databricks environments.
- Ability to collaborate effectively with technical stakeholders, including data architecture teams.
- Experience monitoring and optimising cloud platform costs.
- Financial services or fintech experience is beneficial but not essential.
How to Apply
If you’re a Databricks-focused Data Engineer looking for your next contract opportunity and enjoy delivering high-quality cloud data solutions, please apply with your latest CV.
To Apply for this Job Click Here
Data Engineer (Medical Imaging)
London
£650 - £750
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Senior Data Engineer
£650 – £750 per day including agency fees
London | Hybrid
This is an opportunity to work on a high-impact data engineering project at the intersection of AI, machine learning, and large-scale data platforms. You will help build and enhance critical data products that support advanced analytics and scientific innovation, using modern cloud technologies and engineering best practices.
The Company
They are a global organisation investing heavily in data, AI, and machine learning to drive innovation across complex scientific and business challenges. Their teams combine strong engineering practices with cutting-edge technology to deliver scalable, data-driven solutions. You will join a collaborative environment where data engineering plays a central role in enabling future-facing AI initiatives.
The Role and Deliverables
- Build, operate, and automate scalable data pipelines handling large and complex datasets.
- Design data storage, transfer, and transformation processes within a cloud-based environment.
- Develop automated ingestion, validation, harmonisation, and quality control workflows.
- Deliver analysis-ready datasets for machine learning, analytics, and wider technical teams.
- Write production-grade Python code that is tested, documented, and maintainable.
- Collaborate with software engineers, machine learning engineers, and domain specialists to solve complex data challenges.
Your Skills & Experience
- Strong experience using Python for data engineering and data transformation.
- Strong SQL skills, including data modelling and schema design.
- Experience building and maintaining ETL or ELT pipelines using orchestration frameworks.
- Experience working with large-scale datasets stored in cloud platforms such as GCP, AWS, or Azure.
- Experience with CI/CD, DevOps practices, and modern software development methodologies.
- Ability to work independently, manage ambiguity, and make sound technical decisions.
- Experience with BigQuery, Google Cloud, medical imaging data, DICOM, or AI-enabled development workflows would be advantageous.
How to Apply
If you are interested in this Senior Data Engineer contract opportunity and would like to work on a highly visible data and AI programme, please apply today.
To Apply for this Job Click Here
VP of Data
London
£150000 - £180000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
VP Enterprise Data
London (3 days per week in office) | Up to £180,000 + Benefits
This is a rare opportunity to shape the enterprise data, AI, and technology strategy of a highly successful organisation. Sitting at executive leadership level, you will drive business-wide transformation through data, analytics, AI enablement, enterprise architecture, and technology leadership.
The Company
They are a forward-thinking organisation that places data at the centre of decision-making and business performance. As they continue to scale, they are investing heavily in their enterprise data and AI capabilities to create a stronger, more data-driven business. This newly created leadership role offers significant visibility, influence, and the opportunity to shape long-term strategy across the organisation.
The Role
You will lead the enterprise data, analytics, architecture, AI, and core technology functions, ensuring data and systems provide measurable value across the business.
Key responsibilities include:
- Defining and delivering the enterprise data and technology strategy
- Leading data engineering, analytics, enterprise systems architecture, and IT teams
- Driving organisation-wide AI adoption, governance, and enablement initiatives
- Establishing data governance frameworks, standards, and best practice
- Owning enterprise data platforms, architecture decisions, vendor relationships, and technology roadmaps
- Building scalable reporting and analytics capabilities to support executive decision-making
- Partnering with senior stakeholders to align data and AI initiatives with business objectives
- Leading high-performing teams and fostering a culture of innovation, accountability, and continuous improvement
- Overseeing technology investments and ensuring clear business value and ROI
Your Skills & Experience
- Proven leadership experience across enterprise data, analytics, architecture, and technology functions
- Strong background in cloud data platforms and modern data ecosystems
- Experience shaping and delivering enterprise-wide data strategies
- Demonstrated success leading business transformation through data and AI
- Deep understanding of data governance, data quality, and enterprise architecture
- Ability to operate credibly with executive and board-level stakeholders
- Strong commercial acumen with a focus on delivering measurable business outcomes
- Experience building and leading multidisciplinary teams across data and technology
How to Apply
If you are interested in leading enterprise data, AI, and architecture strategy at executive level, please apply today to learn more about this opportunity
To Apply for this Job Click Here
VP Enterprise Data
London
£180000 - £180000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
VP Enterprise Data
In this role you will lead enterprise data, technology, architecture, and AI strategy within a well-established, data-led organisation. Significant investment has already been made in data platforms, AI capabilities, and enterprise systems, creating a strong foundation. The focus now is on bringing teams together, creating alignment, and unlocking greater commercial value from those investments.
The Company
They are an insights and technology business that helps organisations make better decisions through data. A robust data platform is already in place, significant work has been completed around the semantic layer and the business is now entering the next phase of its transformation, focused on connecting data, technology, and customer intelligence more effectively across the organisation.
The Role
As VP Enterprise Data you will create a single vision across Data & Analytics, Engineering, IT, Salesforce, and Architecture.
You will inherit a large multidisciplinary team and be responsible for aligning previously separate functions, accelerating delivery, and ensuring technology investments deliver measurable business outcomes.
- Lead Data & Analytics, Engineering, IT, Salesforce, and Architecture functions.
- Develop and execute the enterprise data, technology, and AI strategy.
- Create alignment across technical, commercial, and operational stakeholders.
- Drive adoption and governance of AI across the organisation.
- Own enterprise architecture standards, data governance, and analytics capabilities.
- Support the delivery of a true 360-degree customer view across the business.
- Improve understanding of customer behaviour, product usage, and commercial performance through data.
- Enable more personalised marketing and more effective sales engagement.
- Support product teams with real-time customer and usage insights.
- Oversee internal data platforms, reporting capabilities, and enterprise systems.
- Make informed build-versus-buy decisions and manage technology roadmaps.
- Deliver quick wins while establishing long-term strategic direction.
- Build trust, accountability, and momentum across multiple functions.
Your Skills & Experience
- Strong leadership experience across some combination of Data, Analytics, Engineering, IT, and Architecture.
- Strong understanding of enterprise data platforms, architecture, analytics, and governance.
- The ability to unite teams around a shared vision and common objectives.
- Experience influencing senior stakeholders and driving organisational change.
- Confidence making decisions and taking ownership of outcomes.
- A hands-on approach and willingness to engage with technical detail when required.
- Strong commercial awareness and the ability to connect technology investments to business value.
- Experience operating successfully in fast-paced and evolving environments.
- The ability to balance strategic thinking with practical delivery.
- Exposure to AI-enabled products, services, or internal AI initiatives and experience applying AI to improve reporting, decision-making, or operational efficiency.
To Apply for this Job Click Here
Project Manager – Consulting
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
PROJECT MANAGER – INTERNAL CONSULTING
Permanent | Hybrid
Up to £60k base + bonus + benefits
I’m currently working with a leading organisation undergoing a major technology transformation, who are looking for a Project Manager to join their Internal Consulting function.
The role will initially focus on a large-scale ERP transformation, working closely with business teams and technology partners before moving into a broader portfolio of client-facing projects.
THE ROLE:
- Manage technology-led projects and ERP workstreams from design through to go-live
- Translate business requirements and processes into effective technology solutions
- Manage project plans, RAID, budgets, risks and governance
- Lead/co-ordinate data migration, including mapping, cleansing, testing and reconciliation
- Manage external technology partners and senior stakeholders
- Coordinate SIT, UAT and go-live activities
- Deliver a variety of client-facing technology, process improvement and business change projects
ABOUT YOU:
- Proven Project Management experience across technology-led change
- Experience with ERP or large-scale system implementations
- Strong business process and requirements experience
- Confident managing senior stakeholders, clients and external technology partners
- Experience across testing, UAT and go-live
- Strong planning, governance, RAID and budget management skills
- Data migration experience is highly desirable
- Consultancy, internal consulting or client-facing project experience would be advantageous
- Experience with ERP platforms such as Dynamics 365, SAP, Oracle, Yardi or MRI would be beneficial
If you are interested in the role please apply. To follow up please message me on LinkedIn or email.
To Apply for this Job Click Here
Software Engineer
Dallas
$185000 - $225000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Software Engineer
Dallas hybrid | $190,000 to $225,000 base + 20% bonus
This is an opportunity to join a highly visible innovation team building AI-enabled software that supports major commercial decisions at scale. You’ll work at the intersection of software engineering, machine learning, product development, and analytics, helping create technology that directly influences investment and operational strategies across a large enterprise.
The Company
They are a well-established organisation operating within a large-scale, asset-backed industry, with a significant focus on data, analytics, and technology transformation. Their innovation team is bringing modern AI and predictive analytics capabilities into a traditionally underserved sector, creating products that deliver measurable business impact.
With strong executive sponsorship and engagement from senior stakeholders, the team is building next-generation tools that combine advanced analytics, machine learning, and intuitive product experiences. This is an environment where engineers can shape both the technology and the product roadmap.
The Role
You will join a growing product and engineering function responsible for developing a production-grade analytics platform used by investment and business stakeholders.
Responsibilities include:
- Building and scaling full-stack applications that combine advanced analytics, AI capabilities, and intuitive user experiences
- Designing and maintaining application infrastructure, APIs, and shared services
- Working closely with product, design, analytics, and business stakeholders to define and deliver solutions
- Developing software that brings machine learning and predictive analytics insights into day-to-day decision making
- Contributing to architectural decisions and helping establish engineering best practices
- Building AI-enabled workflows and tools that support repeatable, high-quality analytical processes
- Improving development, deployment, testing, and operational processes
- Supporting a collaborative, high-performing engineering culture through code reviews and knowledge sharing
Your Skills & Experience
- Strong commercial experience in full-stack software engineering
- Excellent Python development skills
- Commercial experience with React, TypeScript, Node.js, or comparable modern web technologies
- Experience building and deploying production-ready applications
- Understanding of machine learning, predictive analytics, or data science workflows
- Experience developing AI-enabled products, LLM-powered features, or intelligent automation solutions
- Strong API design and backend engineering capabilities
- Familiarity with cloud platforms such as Microsoft Azure or AWS
- Product-focused mindset with the ability to work through ambiguity and influence technical direction
- Excellent stakeholder management and communication skills
- Experience working with analytics, financial, real estate, or other data-intensive environments is advantageous
What They Offer
- Opportunity to work on a flagship AI and predictive analytics platform
- Exposure to senior business and executive stakeholders
- High-impact work with significant commercial visibility
- Strong career progression within a growing innovation function
- Collaborative environment combining product, data science, and engineering expertise
How to Apply
If you’re a product-oriented Software Engineer with strong full-stack skills, Python expertise, and experience building AI-enabled applications, apply today to learn more about this opportunity.
To Apply for this Job Click Here
C# Full Stack Engineer
City of London
£100000 - £140000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
C# Full Stack Engineer
Up to £140,000
London On Site
This is a great opportunity to join a high-growth quantitative investment and sports analytics organisation where you can take ownership of building high-performance software systems that process and analyse large-scale real-time data.
THE COMPANY
A highly successful London-based investment and technology business specialises in sports data analysis and trading. Operating globally across multiple sporting markets, the organisation leverages large volumes of historical and live data to drive investment decisions and develop proprietary trading technology.
THE ROLE
You will take ownership of designing, building, and enhancing modern C#/.NET applications that support critical trading, analytics, and data-processing platforms.
Key responsibilities include:
- Developing and maintaining high-performance C#/.NET applications
- Building greenfield software solutions alongside enhancing existing platforms
- Working on large-scale data ingestion and processing systems
- Contributing to system architecture, scalability, and performance optimisation
- Collaborating closely with highly technical colleagues across engineering and research functions
YOUR SKILLS AND EXPERIENCE
You will bring strong capability in:
- C#
- .NET
- Full-stack software development
- SQL Server or equivalent database technologies
- Strong software engineering fundamentals
THE BENEFITS
You will receive a salary of up to £140,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Data Operations Manager
London
£50000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Operations Manager
London (Hybrid, 2 days per week) | Up to £55,000
This is a fantastic opportunity to join an award-winning insights business at the forefront of research technology, automation, and AI. You’ll play a key role in streamlining research operations, building innovative solutions, and driving technical improvements across the organisation.
The Company
They are a well-established insights and research consultancy with a strong reputation for innovation and employee development. The business is investing heavily in automation, AI, and operational excellence, offering a highly collaborative environment where employees can make a visible impact.
The Role
- Lead data processing and operational delivery across research projects
- Build automation solutions using Python, SPSS, and AI tools
- Improve data workflows, reporting processes, and operational efficiency
- Support researchers with technical challenges and large datasets
- Develop scalable tools and repeatable solutions for ongoing projects
- Work closely with research, data, and technology teams to drive innovation
Your Skills & Experience
- Strong SPSS and quantitative data processing experience
- Python or scripting experience for automation
- Experience using AI tools to solve business problems
- Ability to manage and analyse large datasets
- Strong stakeholder management and communication skills
- Experience improving workflows through automation
What They Offer
- Salary up to £55,000
- Hybrid working with 2 days per week in London
- High levels of autonomy and ownership
- Opportunity to shape AI and automation initiatives
- Exposure to senior stakeholders across the business
- Strong learning and development opportunities
How to Apply
Apply today to find out more about this Data Operations Manager opportunity.
To Apply for this Job Click Here
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