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Data Modeller

Location: Hybrid, London

Contract: 6 Months

IR35: Inside IR35

Rate: £600 – £700 per day

Start Date: September

This is an opportunity to shape the future of enterprise data within a large-scale transformation programme. You’ll play a pivotal role in defining data modelling standards, building an enterprise data model that supports AI and self-service analytics, and establishing best practices that will influence future programmes across the organisation.

The Company

They are a large, well-established FTSE 100 organisation investing heavily in the modernisation of their data landscape. As part of a significant enterprise transformation, they are consolidating multiple data platforms to create a scalable, future-ready data environment. Their focus is on enabling advanced analytics, AI capabilities, and improved decision-making through a robust enterprise data strategy. You will join a collaborative data function working closely with business and technical stakeholders.

The Role and Deliverables

• Design enterprise logical and physical data models across multiple business domains.
• Develop and implement a repeatable enterprise data modelling framework, methodology, and playbook.
• Define and promote data modelling standards, principles, and best practices across the organisation.
• Translate complex business requirements into scalable data models in collaboration with architects, engineers, and business analysts.
• Build enterprise data models that support AI initiatives, self-service analytics, and future data products.
• Contribute to data governance objectives and support the wider enterprise data unification strategy.

Your Skills & Experience

• Strong experience delivering enterprise data modelling as a core discipline.
• Deep understanding of enterprise data modelling methodologies, including Kimball, Inmon, and dimensional modelling.
• Familiarity with Data Vault approaches and broader enterprise modelling concepts.
• Ability to design logical and physical data models from first principles without reliance on modelling software.
• Comfortable communicating data models through workshops, whiteboards, Visio, Excel, or other visual techniques.
• Strong SQL and Python skills.
• Experience working within modern cloud data platforms and analytics environments.
• Knowledge of Medallion Architecture and modern data transformation approaches.
• Experience with Microsoft Fabric, Databricks, Snowflake, or comparable cloud data platforms.
• Strong stakeholder management skills with the ability to explain complex modelling concepts to both technical and non-technical audiences.
• Experience influencing standards, facilitating workshops, and gathering business requirements.

How to Apply

If you are passionate about enterprise data modelling and want to define the foundations of a long-term data strategy, apply today to discuss this contract opportunity in more detail.

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Azure Cloud Engineer

Up to £60,000
Oxfordshire (Hybrid – 1 day per week)

This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.

THE COMPANY:

This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.

THE ROLE:

You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:

• Designing, building, and maintaining Azure cloud infrastructure
• Acting as a subject matter expert, providing architectural guidance and solution design
• Supporting internal consultants with cloud solutioning and infrastructure recommendations
• Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
• Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
• Driving a code-first approach with Infrastructure-as-Code and automation
• Leading on cloud integrations, including Azure Integration Services
• Supporting governance, security, compliance, backup, and recovery processes
• Contributing to AI-driven and innovation-focused internal projects
• Mentoring junior engineers and setting technical standards across the team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on Microsoft Azure engineering and architecture
• Designing scalable, secure cloud solutions end-to-end
• Infrastructure-as-Code (ideally Bicep or Terraform)
• Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
• Cloud automation using PowerShell and Azure CLI
• Strong stakeholder engagement and communication skills
• Security, governance, and compliance within cloud environments

THE BENEFITS:

You will receive a salary up to £60,000 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

To Apply for this Job Click Here

Senior Analytics Engineer

Oxford/ Hybrid

Up to £65,000

Overview

This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development. You’ll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.

The Company

They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions. With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.

The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions. This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.

The Role

As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.

Key responsibilities include:

• Designing, building, and optimising ELT pipelines across cloud-based data platforms.
• Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
• Supporting data migration and platform modernisation initiatives.
• Improving data processing efficiency and reducing data latency across multiple regions.
• Working with both modern and legacy data models to deliver scalable solutions.
• Developing and maintaining Power BI reporting and analytics capabilities.
• Implementing best practices around data quality, documentation, governance, and maintainability.
• Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
• Contributing to architectural decisions and continuous improvement across the data platform.

Your Skills & Experience

To be successful in this Senior Analytics Engineer role, you should have:

• Strong commercial expertise in SQL, which is a core requirement for the position.
• Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
• Strong knowledge of ELT pipeline development, optimisation, and data integration.
• Experience supporting data migration projects and modernising existing data environments.
• Expertise in Power BI and data visualisation.
• Experience working with legacy data models while delivering improvements and modernisation.
• Knowledge of Agile or Scrum delivery environments.
• The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.

Desirable experience includes:

• Python for automation or data scraping.
• C# development experience.
• Azure DevOps, source control, and branching strategies.
• Data warehousing, datamarts, and reporting databases.
• Exposure to Data Science workflows and concepts.

What They Offer

• £65,000 base salary.
• Comprehensive benefits package.
• Hybrid working with 2 days per week in the Oxford office.
• Opportunity to own and shape a key area of the data platform.
• Exposure to large-scale international data initiatives.
• A collaborative environment with strong investment in data and technology.
• Clear opportunities to influence technical strategy and contribute to platform growth.

To Apply for this Job Click Here

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LEAD DATA ENGINEER (Azure)

Uo to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most recognisable cultural organisations as they embark on a major data transformation programme. You’ll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.

THE COMPANY:

Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.

THE ROLE:

You will take ownership of designing, building and evolving the organisation’s modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
Key responsibilities include:

• Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
• Building scalable and reliable data pipelines using a Medallion architecture approach
• Designing robust data models and semantic layers across multiple business domains
• Establishing engineering best practices, governance frameworks and development standards
• Managing and developing a small team of data engineers
• Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
• Enabling high-quality downstream reporting, analytics and Power BI semantic models
• Supporting long-term data innovation and AI initiatives across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong expertise in dimensional data modelling and semantic layer design
• Hands-on experience with Microsoft Fabric and/or Azure Data Services
• Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
• Strong stakeholder management and communication skills
• Previous experience managing, mentoring or leading teams, with at least two direct reports

THE BENEFITS:

You will receive a salary up to £75,000 dependent on experience, alongside 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

To Apply for this Job Click Here

Senior Marketing Analyst

Location: East Bay, California (Hybrid: 3 days onsite per week)

Compensation: $130,000 – $160,000 base salary + annual bonus opportunity

Employment Type: Full-Time

A well-established financial services organization is seeking a Senior Marketing Analyst to join its Business Intelligence & Analytics function. This role plays a critical part in transforming complex data into actionable business insights that support marketing performance, member/customer growth, product adoption, and strategic decision-making.

The ideal candidate combines strong technical analytics capabilities with a business-minded approach to problem solving. This person will partner closely with marketing, executive leadership, operations, and finance teams to deliver reporting, forecasting, experimentation, and strategic recommendations that drive measurable business outcomes. This is a highly visible role suited for someone who enjoys moving beyond reporting to influence business strategy through data-driven insights

What You’ll Do

• Build, automate, and maintain dashboards, reports, and data visualizations that support marketing, executive leadership, and business decision-making.
• Analyze campaign performance, customer acquisition, conversion, attribution, ROI, and other key marketing metrics to identify growth opportunities and drive strategic recommendations.
• Lead web and digital analytics initiatives, including tracking design, website performance measurement, user behavior analysis, and optimization efforts.
• Apply advanced analytics techniques such as forecasting, experimentation, A/B testing, segmentation, and predictive modeling to improve marketing effectiveness and business outcomes.

What We’re Looking For

Required:

• 5+ years of experience in analytics, marketing analytics, or a related field
• Strong SQL skills and experience working with BI tools such as Power BI (Tableau also considered)
• Marketing analytics experience, including campaign performance measurement and attribution analysis
• Experience with web analytics platforms such as Google Analytics or Adobe Analytics
• Strong background in statistics, experimentation, and A/B testing
• Knowledge of testing methodologies, sample size calculations, and performance measurement
• Ability to translate data into actionable business recommendations and insights

Nice-to-Haves:

• Experience analyzing paid media and digital marketing performance, including Google Ads
• Experience measuring customer acquisition, conversion, CPC, ROI, and ROAS metrics
• Background in financial services, banking, credit unions, or other regulated industries
• Experience with forecasting, predictive analytics, segmentation, or customer lifecycle analysis
• Hands-on experience driving marketing optimization through data-driven experimentation

Benefits:

• 401k with employer contribution and match
• Employer-paid medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Paid vacation and sick time
• Tuition reimbursement and student loan repayment assistance

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Marketing Data Analyst

Harnham San Francisco Bay Area (Hybrid)

Senior Marketing Analyst

Location: Concord, CA – Hybrid, onsite ~3 days/week, primarily Tuesday-Thursday

About the Role

This role sits within the Analytics team, supporting executive leadership, operations, finance, marketing, and new product initiatives. It combines executive reporting, automated dashboard development, and strategic analysis – with a particular focus on marketing performance and web analytics.

The Senior Marketing Analyst will play a key role in an upcoming website redesign, owning web analytics for the new site launch and partnering directly with an external vendor to help design the tracking strategy. This is a role for someone who wants to move beyond reporting and into providing real recommendations that shape business decisions.

What You’ll Do

• Build and automate reports and dashboards
• Analyze marketing performance across channels
• Own web analytics for a new website launch
• Partner with a vendor during the website redesign
• Help design and implement tracking strategy
• Provide data-driven recommendations, not just reporting

What We’re Looking For

Required:

• 5+ years of analytics experience
• Strong SQL skills
• Experience with Power BI
• Marketing analytics background
• Web analytics experience
• Background in statistics, including experiment design, A/B testing, and testing methodology and sample size considerations

Marketing Experience:

• Campaign performance analysis
• Attribution reporting
• Google Ads and paid media analytics
• Deep understanding of CPC and related metrics, not just tool usage
• Customer acquisition metrics
• ROI measurement

Strong candidates will be able to point to measurable business impact – for example, improving campaign performance, reducing acquisition costs, increasing conversions, or driving optimization results with quantifiable outcomes.

Working Style:

As a senior team member, this person should be comfortable bringing problems and proposed solutions to the table, making recommendations independently, and operating with coaching rather than constant direction.

Tech Stack:

SQL, Power BI, Azure, Google Analytics

Compensation & Benefits

Base Salary: $131,000-$164,000, plus annual bonus eligibility

Benefits:

• 401k with employer contribution and match
• Employer-paid medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Paid vacation and sick time
• Tuition reimbursement and student loan repayment assistance

• Seniority Level

  Mid-Senior level

• Industry

  • Financial Services

• Employment Type

  Full-time

• Skills

  • Microsoft Azure

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Solution Consultant

Location: Remote (USA)

About the Role

We are seeking a Solution Consultant to help customers successfully adopt and maximize the value of our software after implementation. This is a highly customer-facing role focused on training, user support, customer engagement, and long-term adoption.

Responsibilities

• Deliver customer training and onboarding.
• Provide ongoing product support and troubleshoot user issues.
• Build strong relationships with customers and act as a trusted point of contact.
• Proactively engage users to increase adoption and utilization.
• Analyze healthcare claims data to provide relevant, customer-specific guidance.
• Gather customer feedback and contribute to product improvement efforts.
• Create training materials, documentation, and best practices.

Qualifications

• Experience working with healthcare claims data.
• Background in healthcare fraud, waste & abuse (FWA), investigations, auditing, compliance, claims analysis, SIU, Medicaid Program Integrity, healthcare insurance, or government healthcare programs.
• Strong understanding of healthcare operations and how data is used to support investigations, oversight, or program integrity.
• Excellent communication, presentation, and training skills.
• Customer-focused with strong relationship-building abilities.
• Strong analytical and problem-solving skills.
• Comfortable learning and adopting new technologies.
• No coding or software development experience required.

Government healthcare experience is a plus; candidates from private healthcare organizations with relevant claims and investigation experience are also encouraged to apply.

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To Apply for this Job Click Here

Data Engineer

Redwood City, CA | Hybrid

Overview

A fast-growing, venture-backed company transforming the built environment is seeking a Data Engineer to join its expanding data team. This organization combines technology, operations, manufacturing, and project execution to deliver scalable physical products and services in a highly regulated industry.

As the second member of the data team, you will work closely with business stakeholders across operations, manufacturing, inventory management, project delivery, and corporate functions. This is an opportunity to take ownership of critical data infrastructure and have a direct impact on company growth.

What You’ll Do

• Own, maintain, and enhance approximately 20 existing data pipelines
• Design and build new data integrations to support business growth and operational scale
• Develop reliable ETL processes and ensure data quality across multiple source systems
• Create greater visibility into inventory, manufacturing, project execution, and operational performance
• Ingest and operationalize publicly available datasets to support strategic decision-making
• Partner with stakeholders across multiple departments to understand requirements and deliver actionable insights
• Monitor pipeline health, troubleshoot issues, and improve the reliability of data infrastructure
• Help establish scalable data practices within a small but growing team

What We’re Looking For

• 2-4 years of professional experience in Data Engineering, Analytics Engineering, or a related field
• Expert-level SQL skills
• Experience owning and maintaining production ETL/data pipelines
• Strong communication and stakeholder management skills
• Ability to thrive in a fast-paced environment with evolving priorities
• Broad technical exposure and a generalist mindset, with experience solving a variety of business problems
• Demonstrated ability to work independently with a high degree of ownership

Nice to Have

• Experience working with ERP systems, particularly in operational or supply-chain environments
• Experience with transactional databases and source-system design considerations
• Proficiency with Python
• Experience with Spark, dbt, Databricks, and/or TypeScript
• Experience integrating APIs and external data sources
• Public GitHub projects demonstrating data engineering, ingestion, or pipeline development work

Location

The position is based in Redwood City, California with a hybrid schedule.

Tuesday through Thursday are required onsite, with flexibility on Monday and Friday.

Compensation

$120,000-$140,000 base salary + equity

Candidates must be authorized to work in the United States without current or future visa sponsorship.

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Senior Analytics Engineer

Oxford (Hybrid, 2 days per week) | Up to £65,000

No sponsorship offered

This is an opportunity to join a growing data function within an organisation undergoing significant international expansion. As data volumes and regional coverage continue to increase, the team are investing in their platform and looking for an experienced Analytics Engineer to help improve data processing, reduce latency, and support the evolution of their cloud-based data environment.

The Company

They are a growing organisation with an established data function supporting business operations across multiple regions. Data is central to their continued growth, and they are investing in technology and people to enhance their capabilities.
The wider team consists of Data Engineering, Data Acquisition, and Analytics professionals who work closely together to deliver scalable, high-quality data solutions.

The Role

You will take ownership of data initiatives for a specific region and play a key role in developing and improving the organisation’s data platform.

Key responsibilities include:

• Building and maintaining ELT pipelines across the Azure ecosystem
• Developing solutions using SQL, Azure Data Factory and Microsoft Fabric
• Supporting data migration and modernisation projects
• Improving data quality, processing efficiency and reliability
• Working with legacy data models and integrating new solutions
• Developing and supporting Power BI reporting capabilities
• Performing data cleansing and transformation using notebooks within ADF
• Collaborating with Data Engineering, Data Acquisition and Analytics teams
• Contributing to architectural discussions and technology decisions
• Delivering solutions within Agile and Scrum environments

Your Skills & Experience

• You will have strong commercial experience with:
• SQL, with advanced query writing and optimisation skills
• Microsoft technology stack development
• Azure Data Factory (ADF)
• Microsoft Fabric
• Azure cloud technologies
• ELT pipeline development and maintenance
• Data migration projects
• Data cleansing and transformation processes
• Legacy data models
• Power BI reporting

What They Offer

• Salary up to £65,000
• Hybrid working with flexibility around office attendance
• Opportunity to take ownership of a regional data estate
• Exposure to platform modernisation and data migration projects
• Collaborative team environment with close interaction across Data Engineering, Analytics and Data Acquisition
• Opportunity to influence data delivery and technical direction

How to Apply

If you’re an Analytics Engineer with strong SQL, Azure Data Factory, Microsoft Fabric and Azure experience, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Senior Product Manager, Collections & Recoveries

Remote within UK

£80-£100,000 + benefits

This is an opportunity to take ownership of a critical product area within a mission-led, African-founded fintech . You’ll shape the future of collections and recoveries, bringing a strategic vision to a growing team while delivering meaningful outcomes for both customers and the business.

The Company

Our client is a technology-driven financial services business focused on delivering accessible, responsible financial products to underserved markets. They combine data, digital platforms, and customer-centric thinking to support sustainable growth for their customers.

As the business continues to scale, they are investing in their product capability and looking for an experienced product leader to bring specialist collections and credit expertise into the organisation.

The Role

You will own the strategy, roadmap, and performance of the collections and recoveries product domain, working closely with Operations, Credit Risk, Data, and Engineering teams.

Key responsibilities include:

• Defining and delivering the collections and recoveries product strategy
• Building scalable tools and workflows that improve operational effectiveness
• Developing customer segmentation and early-warning capabilities alongside Risk and Data teams
• Enhancing repayment journeys across digital and assisted channels
• Driving automation and reducing manual operational processes
• Using experimentation and analytics to improve repayment, recovery, and customer outcomes
• Establishing clear KPIs, reporting frameworks, and success measures
• Influencing senior stakeholders across Product, Operations, Risk, and Technology
• Supporting the development of more proactive and customer-focused collections approaches
• Mentoring and guiding junior product team members

Your Skills & Experience

• Strong product management experience within banking, lending, fintech, payments, or financial services
• Direct experience with collections, recoveries, credit servicing, or lending products
• Proven success delivering transformation initiatives within collections or customer repayment environments
• Experience building and scaling data-led products and operational tooling
• Ability to translate complex business challenges into impactful product solutions
• Strong stakeholder management and communication skills
• Working knowledge of SQL and product analytics
• Experience with payments platforms, mobile money, or credit products would be advantageous
• Exposure to responsible lending, financial inclusion, or customer protection initiatives is beneficial

What They Offer

• Salary up to £100,000
• Wider benefits package including bonus
• Travel to Kenya (headquarters) for team collaboration
• High levels of ownership and influence within a growing product organisation
• Opportunity to define the future direction of collections and recoveries products
• Exposure to senior leadership and strategic decision-making
• Career growth within a scaling fintech environment

A purpose-driven culture focused on delivering positive customer outcomes

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR ANALYTICS ENGINEER
OXFORD/HYBRID
UP TO £65,000

This is an excellent opportunity for a Senior Analytics Engineer to play a key role in a growing data-driven organisation undergoing significant digital transformation. You will help shape the future of a cloud-based data platform, working on modern analytics engineering challenges while influencing technology decisions across the business.

ROLES AND RESPONSIBILITIES:
The Senior Analytics Engineer will:

• Develop, maintain, and enhance cloud-based data platforms and analytics solutions
• Design and build scalable ETL and ELT pipelines to support reporting and data products
• Work closely with stakeholders to translate business requirements into technical solutions
• Develop and optimise data warehouses, data marts, and reporting environments
• Ensure high standards of data quality, performance, reliability, and governance
• Automate data processes and deployments using modern engineering practices
• Monitor, troubleshoot, and continuously improve data infrastructure
• Contribute to data architecture decisions and support the modernisation of legacy systems
• Create clear technical documentation and maintain best practices across data engineering workflows
• Collaborate with developers, analysts, and business teams to deliver impactful data solutions

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience with Azure-based data technologies such as Azure SQL, Azure Data Factory, Microsoft Fabric, Synapse, or related platforms
• Expertise in designing and maintaining modern data warehouse architectures
• Advanced SQL skills and experience with CI/CD processes and Azure DevOps
• Strong Python scripting capabilities for automation, orchestration, and pipeline optimisation
• Experience working with ETL and ELT frameworks and data management best practices
• Knowledge of data security, governance, and regulatory requirements
• Experience with analytics and visualisation tools such as Power BI or similar platforms
• Familiarity with Git version control and collaborative development practices
• The ability to communicate effectively with both technical and non-technical stakeholders
• A proactive approach to problem-solving and delivering high-quality solutions

APPLY BELOW!

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