Finance Business Partner – Operational Costs
3 Month Contract
Location: Home / London (onsite 2/3 days a week)
Rate: £450 - £500 per day (Inside IR35)

We are recruiting for a Finance Business Partner to join a large, established organisation on an initial 3-month contract.

This is a hands-on finance role focused on cost management, budgeting, forecasting and financial reporting across business functions.

You will work closely with operational stakeholders, providing financial analysis and insight to support effective cost control, planning and decision-making.

Key Responsibilities

• Provide financial business partnering support across operational and business functions.
• Support departmental budgeting, forecasting and ongoing financial planning.
• Analyse operating expenditure, cost drivers and financial performance.
• Prepare monthly management reports, variance analysis and financial commentary.
• Support headcount and resource cost planning where required.
• Work closely with stakeholders to review budgets, challenge expenditure and identify efficiencies.
• Produce financial models, scenario analysis and cost projections to support business decisions.
• Contribute to improvements in financial reporting, processes and controls.

Skills & Experience

• Previous experience as a Finance Business Partner, FP&A Analyst, Management Accountant or Commercial Finance Analyst.
• Experience working within a large, complex organisation, ideally with 5,000+ employees.
• Strong understanding of cost management, budgeting, forecasting and management reporting.
• Experience analysing operating expenditure, departmental budgets and financial performance.
• Strong Excel and financial modelling skills.
• Confident working with operational stakeholders and communicating financial information.
• Qualified or part-qualified ACCA/CIMA/ACA, or equivalent relevant experience.
• Able to work independently and deliver accurate financial analysis in a fast-paced environment.

Finance Business Partner – Product & Technology
3 Month Contract
Location: Home / London (onsite 2/3 days a week)
Rate: £450 - £500 per day (Inside IR35)

We are recruiting for an experienced Finance Business Partner to join a large, established technology and software organisation on an initial 3-month contract.

Working closely with Product and Technology stakeholders, you will provide financial insight, budgeting and forecasting support, and commercial analysis to help inform business decisions.

This is a hands-on role, ideally suited to a Finance Business Partner or experienced FP&A professional with exposure to software, SaaS or technology environments.

Key Responsibilities

• Partner with Product and Technology teams to provide financial insight and support decision-making.
• Support budgeting, forecasting and financial planning across product development and technology functions.
• Analyse product development expenditure, cloud and infrastructure costs, and technology investments.
• Produce monthly management reporting, variance analysis and financial commentary.
• Support business cases, cost-benefit analysis and investment decisions.
• Identify opportunities for cost optimisation, improved efficiency and financial performance.
• Work closely with stakeholders to provide clear financial analysis and recommendations.

Skills & Experience

• Previous experience in Finance Business Partnering, FP&A or commercial finance.
• Experience within a large, complex organisation, ideally with 5,000+ employees.
• Exposure to SaaS, software, technology or product-led businesses is highly desirable.
• Strong budgeting, forecasting, financial modelling and variance analysis skills.
• Advanced Excel skills and experience producing management information.
• Confident communicating with senior stakeholders and non-finance teams.
• Qualified or part-qualified ACCA/CIMA/ACA, or equivalent relevant experience.

Senior Data Engineer - Fabric, Azure Synapse & Microsoft cloud 

Manchester/Hybrid - 1 day per week in Office

£up to £58,000 plus Benefits

My client are looking to hire an experienced and innovative Senior Data Engineer to design, develop and optimise the organisation's modern data platform, ensuring trusted, secure and high-quality data is available to support reporting, business intelligence, analytics and AI-driven decision making. Working closely with business stakeholders, analysts, architects and technical teams, you will develop scalable data solutions using Microsoft Fabric, Azure Synapse Analytics and Microsoft data integration technologies. You will play a key role in enabling the collection, transformation, storage and delivery of data from multiple internal and external sources, helping the organisation maximise the value of its data assets.

This is an exciting opportunity for someone who enjoys solving complex technical challenges, building modern cloud-based data solutions and driving innovation through data.

Key Responsibilities:

• Design, develop and maintain scalable data pipelines, integrations and data solutions using Microsoft Fabric, Azure Synapse Analytics and related Microsoft technologies.
• Build and optimise ETL and ELT processes to support reporting, business intelligence, analytics and artificial intelligence initiatives.
• Design and maintain data lake, Lakehouse, data warehouse and semantic model architectures to support organisational data requirements.
• Develop robust integrations between cloud-based and on-premise systems, ensuring data is accessible, secure and reliable.
• Implement data quality controls, monitoring processes, governance standards and security measures to maintain data integrity and compliance.
• Support the modernisation of legacy reporting and data platforms, helping drive the adoption of Microsoft Fabric and cloud-based technologies.
• Collaborate with Business Intelligence developers, analysts and stakeholders to translate business requirements into effective technical solutions.
• Produce high-quality technical documentation, solution designs and operational procedures while contributing to platform enhancement and continuous improvement activities.

Skills Required:

• Strong experience developing enterprise data solutions using Microsoft Fabric, Azure Synapse Analytics and Microsoft cloud technologies.
• Advanced SQL skills with experience designing, developing and optimising data pipelines, ETL/ELT processes and large-scale data solutions.
• Strong understanding of data warehouse, data lake and Lakehouse architectures, including data modelling techniques such as star schema and dimensional modelling.
• Experience building secure, scalable and high-performing data platforms that support reporting, analytics and business intelligence requirements.
• Desirable experience supporting AI, machine learning or advanced analytics initiatives.
• Knowledge of data governance, data quality, security principles and regulatory compliance requirements.
• Experience working with Power BI semantic models, reporting solutions and modern analytics platforms.
• Experience integrating multiple business systems, applications and third-party data sources using cloud-based technologies.
• Desirable experience with Azure Data Factory, Microsoft Purview, Python, Spark, DataOps, DevOps, AI platforms or large-scale cloud modernisation projects.

2 roles - one replacement, one growth

C# .NET Software Engineer – Infoshare+

Location: Fully Remote (UK)
Salary: £65K
Type: Permanent

Background / Team

• Engineering is a shared resource across Infoshare+ products.

• Initially working across two main products, including Companion, which helps housing organisations manage energy efficiency across large property portfolios and meet government targets.

• Team currently has 5 Software Engineers, increasing to 6. Around 15 engineers across the wider business.

• Opportunity to move between different products over time.

• Reports to Principal Software Engineer.

Technical Requirements

• Essential: C#, modern .NET (6+), Microsoft Azure and SQL Server.

• Frontend uses standard JavaScript, HTML, CSS and Bootstrap. No requirement for React or Angular.

• Strong experience developing complex commercial software products, ideally SaaS.

• Particularly interested in developers who have solved challenging technical problems rather than simply building forms or straightforward data-transfer applications.

• Good knowledge of software engineering principles, automated testing, unit testing and CI/CD.

• Multithreading, concurrency and performance optimisation are particularly relevant and worth exploring.

• Infrastructure as code (Bicep/Terraform) is desirable rather than essential. Existing CI/CD pipelines are established, but infrastructure is currently configured manually.

Ideal Candidate

• Strong mid-level C#/.NET developer, although a good second-jobber or more experienced engineer would be considered.

• Experience building complex, commercially delivered software products.

• Public sector or housing software experience advantageous, but not essential.

• Someone who enjoys problem-solving, understands software architecture and can contribute ideas rather than simply completing development tickets.

Key Screening Points

• Experience with C#/.NET 6+, Azure and SQL Server.

• Examples of complex software products they've developed and what made them technically challenging.

• Experience with multithreading, asynchronous processing or performance optimisation.

• Understanding of automated testing and modern development practices.

• Comfortable working fully remotely within a collaborative engineering team.

Key Point: Technical complexity and problem-solving ability are more important than years of experience. Prioritise genuine product engineers with strong .NET/Azure/SQL skills.

Full Stack Software Engineer (Machine Learning) – Inspera / Graide

Salary: Up to £65k
Location: Remote – monthly meet-up in Birmingham city centre. Midlands-based preferred.

Background

• Working within the small Graide team (Engineer, Product person and Founder), reporting into Vikas at Inspera.

• Graide's AI-assisted marking technology is being integrated into Inspera's core platform.

• Also developing a standalone product combining Graide and Inspera technology.

• Future roadmap is more focused on software/product development than building new ML models.

Technical Requirements

• Core stack: React, TypeScript, Node.js and Python.

• AWS, GraphQL, MongoDB and DynamoDB also used.

• Need a Full Stack Engineer with a good understanding of traditional statistical Machine Learning (classification, NLP, text comparison).

• ML experience doesn't have to be commercial – university projects or degree specialisms are acceptable.

• Stronger ML experience could compensate for slightly less full stack development experience.

• Not looking for someone whose only AI experience is GenAI/LLMs.

Interview Process

• Up to 3 stages.

• Vikas initially (fit/background), with George and Manjinder involved in technical interviews.

Key Point: Prioritise strong Full Stack Engineers with genuine ML knowledge, but also consider ML-focused developers with some full stack experience.

Data Governance Consultant – DV Cleared
Permanent
Location: London (Onsite 4 days a week).
Rate: £700 - £800 per day (Inside IR35)

Skills: Data Governance, Data Quality, AI Assurance, Metadata Management, MOD DV Clearance

We are looking for an experienced Data Governance Consultant to join a growing technology consultancy, supporting the delivery of data governance and AI assurance initiatives within a highly secure environment.

This is an excellent opportunity to work on complex, high-profile programmes, helping organisations improve data quality, establish robust governance frameworks and ensure the responsible adoption of AI technologies.

The successful candidate will combine strong data governance expertise with excellent stakeholder engagement skills and a practical understanding of AI assurance, data protection and regulatory compliance.

This is primarily an onsite role working 1 day a week from home, and 4 days a week on client site in London.

Key Responsibilities

• Design and implement data governance frameworks, policies, standards and operating procedures.
• Establish data stewardship models, ownership structures, RACI frameworks and data quality processes.
• Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches.
• Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation.
• Contribute to AI governance processes covering model performance, risk management, monitoring and compliance.
• Implement data quality measurement, reporting and remediation processes.
• Produce governance documentation, risk assessments, evaluation plans and assurance reports.
• Facilitate workshops with technical and business stakeholders to capture requirements and define solutions.
• Work collaboratively with data architects, engineers, security specialists and wider delivery teams.
• Support the implementation and adoption of data governance tools and platforms.

Skills & Experience Required

• Proven experience delivering data governance initiatives within complex organisations.
• Strong understanding of data governance frameworks, policies, stewardship and data ownership.
• Practical experience of data quality management, metadata, data cataloguing and data lineage.
• Understanding of data privacy, information security and regulatory requirements.
• Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring.
• Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation.
• Strong analytical, problem-solving and communication skills.
• Current, active MOD DV Security Clearance is essential.

Desirable Experience

• Previous experience working within Defence, Central Government or other highly regulated environments.
• Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR.
• Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation.
• Exposure to MLOps, AI model monitoring and automated governance processes.
• Experience working within secure or restricted technology environments.

Data Governance Consultant – DV Cleared
Permanent
Location: Hereford (Onsite 4 days a week).
Rate: £700 - £800 per day (Inside IR35)

Skills: Data Governance, Data Quality, AI Assurance, Metadata Management, MOD DV Clearance

We are looking for an experienced Data Governance Consultant to join a growing technology consultancy, supporting the delivery of data governance and AI assurance initiatives within a highly secure environment.

This is an excellent opportunity to work on complex, high-profile programmes, helping organisations improve data quality, establish robust governance frameworks and ensure the responsible adoption of AI technologies.

The successful candidate will combine strong data governance expertise with excellent stakeholder engagement skills and a practical understanding of AI assurance, data protection and regulatory compliance.

This is primarily an onsite role working 1 day a week from home, and 4 days a week on client site in Hereford.

Key Responsibilities

• Design and implement data governance frameworks, policies, standards and operating procedures.
• Establish data stewardship models, ownership structures, RACI frameworks and data quality processes.
• Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches.
• Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation.
• Contribute to AI governance processes covering model performance, risk management, monitoring and compliance.
• Implement data quality measurement, reporting and remediation processes.
• Produce governance documentation, risk assessments, evaluation plans and assurance reports.
• Facilitate workshops with technical and business stakeholders to capture requirements and define solutions.
• Work collaboratively with data architects, engineers, security specialists and wider delivery teams.
• Support the implementation and adoption of data governance tools and platforms.

Skills & Experience Required

• Proven experience delivering data governance initiatives within complex organisations.
• Strong understanding of data governance frameworks, policies, stewardship and data ownership.
• Practical experience of data quality management, metadata, data cataloguing and data lineage.
• Understanding of data privacy, information security and regulatory requirements.
• Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring.
• Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation.
• Strong analytical, problem-solving and communication skills.
• Current, active MOD DV Security Clearance is essential.

Desirable Experience

• Previous experience working within Defence, Central Government or other highly regulated environments.
• Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR.
• Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation.
• Exposure to MLOps, AI model monitoring and automated governance processes.
• Experience working within secure or restricted technology environments.

Data Governance Consultant – DV Cleared
Permanent
Location: Poole (Onsite 4 days a week).
Salary: £75,000 - £90,000 (+ benefits)

Skills: Data Governance, Data Quality, AI Assurance, Metadata Management, MOD DV Clearance

We are looking for an experienced Data Governance Consultant to join a growing technology consultancy, supporting the delivery of data governance and AI assurance initiatives within a highly secure environment.

This is an excellent opportunity to work on complex, high-profile programmes, helping organisations improve data quality, establish robust governance frameworks and ensure the responsible adoption of AI technologies.

The successful candidate will combine strong data governance expertise with excellent stakeholder engagement skills and a practical understanding of AI assurance, data protection and regulatory compliance.

This is primarily an onsite role working 1 day a week from home, and 4 days a week on client site in Poole.

Key Responsibilities

• Design and implement data governance frameworks, policies, standards and operating procedures.
• Establish data stewardship models, ownership structures, RACI frameworks and data quality processes.
• Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches.
• Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation.
• Contribute to AI governance processes covering model performance, risk management, monitoring and compliance.
• Implement data quality measurement, reporting and remediation processes.
• Produce governance documentation, risk assessments, evaluation plans and assurance reports.
• Facilitate workshops with technical and business stakeholders to capture requirements and define solutions.
• Work collaboratively with data architects, engineers, security specialists and wider delivery teams.
• Support the implementation and adoption of data governance tools and platforms.

Skills & Experience Required

• Proven experience delivering data governance initiatives within complex organisations.
• Strong understanding of data governance frameworks, policies, stewardship and data ownership.
• Practical experience of data quality management, metadata, data cataloguing and data lineage.
• Understanding of data privacy, information security and regulatory requirements.
• Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring.
• Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation.
• Strong analytical, problem-solving and communication skills.
• Current, active MOD DV Security Clearance is essential.

Desirable Experience

• Previous experience working within Defence, Central Government or other highly regulated environments.
• Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR.
• Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation.
• Exposure to MLOps, AI model monitoring and automated governance processes.
• Experience working within secure or restricted technology environments.

Strategic Account Manager - IT based Transformation & Professional Services - Public Sector

Location: UK, Remote

Salary £45000-55000, Car Allowance & 20-25k Commission

My client are a leading Business Transformation and Services Consultancy across the UK public sector are recruiting a Sales Account Manager to join their growing commercial team and own relationships with key clients within the Public sector, responsible for Cross and up sell of IT Focussed Transformation and professional services to approximately 20 Clients

Key Responsibilities:

• Responsible for building sales pipeline with existing Clients 
• Manage sales cycle from identifying prospects, working with numerous internal teams to coordinate appropriate resources, all the way through closing the deal.
• Manage and follow up on qualified leads.
• Provide and guide prospects strategic vision to drive them toward their Consulting solution.
• Execute on their Consulting’s consultancy sales methodology.
• Develop executive and operational level relationships with target companies, promoting their offering and solutions, cultivating new opportunities.

Key Skills:

• Minimum of 3-4 years’ demonstrable experience in sales-related account management role, ideally selling IT Based Transformation and Professional Services
• Ideally some experience selling within the Public Sector and/or Higher Education market.
• Record of sustained and significant quota over-achievement.
• Experience working in a fast-paced, team-oriented, collaborative environment.
• Able to actively engage in a consultative sales approach.
• Must be articulate with strong writing, presentation and negotiation skills.
• Proven analytical and problem-solving abilities.
• Fluent business-level language skills.