Newark - Flexible Hybrid Working

Permanent

Package: up to 90’000k

We are recruiting for an experienced Data Engineering Lead, working for one of the UK’s leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data platform.This role owns the end-to-end data engineering architecture - from ingestion and lakehouse design to enabling trusted, self-service analytics across the organisation. You will lead a small engineering team, define technical standards, and work closely with senior stakeholders to ensure data underpins strategic and operational decision-making.

Role Purpose

To take ownership of the organisation’s data platform architecture and delivery, ensuring reliable, scalable ingestion pipelines, a well-designed data warehouse, and high-quality analytics products. The role combines hands-on technical leadership with people management and cross-business collaboration.

Key Responsibilities

Data Platform & Architecture

• Own the data warehouse schema, lakehouse design, and core data models
• Translate business requirements into pragmatic, scalable data architecture decisions
• Define, implement, and maintain data contracts aligned to business domains
• Establish data quality, observability, and SLA frameworks

Engineering Delivery

• Design and evolve scalable data pipelines (batch and incremental watermark-based ingestion) using:
• Microsoft Fabric Pipelines
• Azure Data Factory
• PySpark / Python Fabric Notebooks
• Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses
• Ensure Direct Lake-ready semantic models for analytics
• Lead incident management, root cause analysis, and data issue post-mortems

Analytics Enablement

• Enable self-service analytics through governed Power BI datasets
• Support and guide the production of trusted Power BI reporting using data contracts

Leadership & Ways of Working

• Define engineering standards and review pull requests
• Mentor and develop 2-4 data and cloud engineers
• Drive the data and warehouse roadmap alongside the Digital Transformation Director
• Champion CI/CD, secure secret management, and software engineering best practices

Role Objective

• Deliver and continuously refine a Microsoft Fabric data warehouse supporting business-led decision making
• Integrate data from diverse sources including APIs, files, databases, and cloud platforms
• Establish data contracts as a core mechanism for trusted analytics
• Scale Power BI reporting using standardised, high-quality data products
• Provide clear, motivating leadership to direct reports
• Conduct regular 1:1s, performance reviews, and development planning
• Recruit, onboard, and develop a high-performing data engineering team
• Ensure compliance with company policies, legal obligations, and operating procedures

Experience & Technical Skills

• Senior-level experience in data engineering roles
• Experience leading or mentoring data engineers
• Hands-on experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models
• Strong Python and PySpark development capability
• Solid SQL skills for warehouse development and metadata layers
• Proven ownership of production data systems end-to-end
• Wider Azure data platform experience (e.g. Synapse, Databricks)
• CI/CD pipelines within Azure and Fabric
• Azure Key Vault or similar secret management
• Experience in telecoms or cloud-focused environments
• Strong understanding of dimensional modelling and medallion architecture
• Experience integrating REST APIs, SFTP, and cloud-based data sources
• Ability to communicate technical trade-offs to non-technical stakeholders
• Excellent troubleshooting, prioritisation, and delivery focus

ECS Resource Group are an Equal Opportunity Employer, for more information please click the following link:

Head of Data | Bristol (Hybrid) | Outside IR35 | £650–£750/day | 6 months We’re partnering with a scaling, data-driven organisation as they invest heavily in their data capability during a period of transformation. The business is evolving from a primarily manual, compliance-led setup into a more product-oriented, technology-enabled operation. Data is a key enabler of that shift, and this contract role will play a central part in laying the foundations. The role This is a hands-on Head of Data contract focused on building a joined-up, dependable data platform from a fragmented starting point. You’ll take ownership of data architecture and delivery, working closely with engineering and product leaders to ensure data is reliable, well-modelled, and embedded into core applications. You’ll be expected to operate at both strategic and delivery levels — shaping direction while staying close to the technical detail to ensure progress is made.Key responsibilities

• Design and own end-to-end data architecture from ingestion through to consumption
• Build and improve pipelines across APIs, files, and third-party systems
• Establish robust data models to support analytics, workflows, and product features
• Introduce data quality, validation, and monitoring practices
• Ensure data is accessible and genuinely useful across the business
• Work closely with engineering teams to integrate data into applications
• Make pragmatic decisions around tooling, orchestration, and platform design
• Define standards for testing, deployment, and version control
• Collaborate with external partners while shaping longer-term internal capability

What we’re looking forYou’ll be comfortable stepping into an environment that’s still forming and bringing clarity and structure at pace. Ideal experience includes:

• Building and scaling data platforms in SaaS or data-centric organisations
• Strong background in data engineering, modelling, and cloud platforms
• Hands-on experience with tools such as Snowflake, dbt, Azure Data Factory (or equivalents)
• Advanced SQL skills and experience working with complex datasets
• Experience where data underpins customer-facing products

If this is a role that suits your skillset and you are interested in the role then please apply directly or email me your most recent and up to date CV to .

Data Engineer Remote (UK-based) | Occasional travel for team collaboration Full-time | Healthcare Staffing Sector About the Role We’re looking for a Data Engineer to design, build, and optimise scalable, secure, and high-performing data solutions that power a growing national healthcare staffing business. This is a key, senior technical role within the data function. You’ll work closely with the Lead Technology Architect to define and implement how data is structured, governed, and utilised across the organisation. You’ll have real ownership and the opportunity to shape the future of data across the business. What You’ll Be Doing Azure & Data Architecture Design and implement scalable data architecture across Azure services
Optimise Azure environments for performance, scalability, and cost efficiency
Manage governance frameworks, tagging, and cloud spend controls
Develop Infrastructure as Code (Terraform / ARM templates)
Maintain disaster recovery, backup, and rollback strategies
Data Pipelines & Integration Build and maintain robust ETL/ELT pipelines
Orchestrate data workflows using Azure Data Factory
Enhance Databricks (Delta Lake) medallion architecture
Implement real-time and near real-time data processing
Monitor pipelines with automated alerting
Data Modelling & Governance Design scalable data models for operational and reporting needs
Develop dimensional and reference data models
Maintain data documentation, lineage, and governance frameworks
Implement audit trails and data access logging
Business Intelligence & Reporting Build and optimise Power BI semantic layers and data marts
Ensure high-quality, reliable, and performant reporting data
Implement data refresh strategies and incremental loads
Configure secure access including Row-Level Security
Application & API Data Services Develop and maintain API endpoints
Ensure consistency across CRM systems and web platforms
Implement caching and mobile-first data strategies
Security & Compliance Implement secure data sharing and encryption standards
Ensure best practice security across all data assets
What We’re Looking For Essential Skills Strong experience with Azure (Data Factory, Databricks, Azure SQL, Storage, Logic Apps)
Advanced T-SQL, database design, and performance tuning
Proven experience building data pipelines and integrations (ETL/ELT)
Strong Power BI skills (DAX, Power Query, semantic modelling)
Solid understanding of data security (OAuth, SAML, encryption)
Experience with cloud cost optimisation and governance
Experience 5+ years in Data Engineering or similar role
Proven delivery of scalable cloud-based data solutions
Experience working with complex, multi-system integrations
Experience in regulated industries (e.g. healthcare) is a plus
Desirable Databricks / Apache Spark
Azure DevOps & CI/CD pipelines
Microsoft Fabric / Synapse
CRM integrations (e.g. Eclipse, CareLineLive)
Power Platform (Power Apps / Automate)
Data warehouse / lakehouse architecture
What You’ll Bring A proactive, self-driven approach with strong ownership
Exceptional attention to detail and documentation
Ability to translate technical concepts into business value
A collaborative mindset across technical and non-technical teams
Curiosity and a drive to continuously improve systems and processes
What’s in It for You Remote-first working with flexibility
Opportunity to own and shape a modern data platform
Exposure to a diverse tech stack (Azure, Databricks, Power BI, APIs)
Work in a growing, purpose-driven healthcare organisation
Real impact on business performance and decision-making
Apply Now If you’re a hands-on Data Engineer who wants to take ownership of a growing data function and build something meaningful, we’d love to hear from you

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90’000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK’s leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data platform.This role owns the end‑to‑end data engineering architecture - from ingestion and lakehouse design to enabling trusted, self‑service analytics across the organisation. You will lead a small engineering team, define technical standards, and work closely with senior stakeholders to ensure data underpins strategic and operational decision‑making. Role Purpose To take ownership of the organisation’s data platform architecture and delivery, ensuring reliable, scalable ingestion pipelines, a well‑designed data warehouse, and high‑quality analytics products. The role combines hands‑on technical leadership with people management and cross‑business collaboration. Key Responsibilities Data Platform & Architecture Own the data warehouse schema, lakehouse design, and core data models
Translate business requirements into pragmatic, scalable data architecture decisions
Define, implement, and maintain data contracts aligned to business domains
Establish data quality, observability, and SLA frameworksEngineering Delivery Design and evolve scalable data pipelines (batch and incremental watermark‑based ingestion) using:
Microsoft Fabric Pipelines
Azure Data Factory
PySpark / Python Fabric Notebooks
Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses
Ensure Direct Lake-ready semantic models for analytics
Lead incident management, root cause analysis, and data issue post‑mortemsAnalytics Enablement Enable self‑service analytics through governed Power BI datasets
Support and guide the production of trusted Power BI reporting using data contractsLeadership & Ways of Working Define engineering standards and review pull requests
Mentor and develop 2-4 data and cloud engineers
Drive the data and warehouse roadmap alongside the Digital Transformation Director
Champion CI/CD, secure secret management, and software engineering best practicesRole Objective Deliver and continuously refine a Microsoft Fabric data warehouse supporting business‑led decision making
Integrate data from diverse sources including APIs, files, databases, and cloud platforms
Establish data contracts as a core mechanism for trusted analytics
Scale Power BI reporting using standardised, high‑quality data products
Provide clear, motivating leadership to direct reports
Conduct regular 1:1s, performance reviews, and development planning
Recruit, onboard, and develop a high‑performing data engineering team
Ensure compliance with company policies, legal obligations, and operating proceduresExperience & Technical Skills Senior‑level experience in data engineering roles
Experience leading or mentoring data engineers
Hands‑on experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models
Strong Python and PySpark development capability
Solid SQL skills for warehouse development and metadata layers
Proven ownership of production data systems end‑to‑end
Wider Azure data platform experience (e.g. Synapse, Databricks)
CI/CD pipelines within Azure and Fabric
Azure Key Vault or similar secret management
Experience in telecoms or cloud‑focused environments
Strong understanding of dimensional modelling and medallion architecture
Experience integrating REST APIs, SFTP, and cloud‑based data sources
Ability to communicate technical trade‑offs to non‑technical stakeholders
Excellent troubleshooting, prioritisation, and delivery focusECS Resource Group are an Equal Opportunity Employer, for more information please click the following link: (url removed) In accordance with the Equality Act 2010, if you require an alternative form of application please click the following link: Flexible Application Process - (url removed)/work/flexible-application-process

Data & Analytics Manager Location: London (Hybrid, 3 days onsite)Salary: £90,000 + benefits + bonusThe OpportunityA large, complex organisation operating in a highly regulated environment is seeking a senior-level data and analytics professional to play a pivotal role in the evolution of its enterprise data capability. This is not a traditional people-management or hands-on engineering role. Instead, you’ll act as a technical authority and trusted partner to the business, ensuring data solutions are well-designed, robust, and genuinely support decision-making at scale.Why This Role Stands Out

• A senior, influence-led role with no direct line management
• High exposure to leadership across technology and business functions
• Ownership of delivery quality across partners, vendors, and internal teams
• Balance of technical credibility and business-facing engagement
• Opportunity to shape and mature a modern, cloud-based data ecosystem
• Meaningful involvement in ongoing data and analytics transformation

What You’ll Be Doing

• Act as a technical design authority across enterprise data and analytics solutions
• Oversee and challenge delivery from external partners and consultancies
• Translate business requirements into well-structured analytical and reporting solutions
• Ensure strong design principles across:
  • Data models and analytical layers
  • Data pipelines and transformation processes
  • Reporting and insight delivery
• Promote best practices in data architecture, governance, and development standards
• Bridge the gap between technical teams and senior business stakeholders
• Support and evolve cloud-native data platforms and warehouse / lakehouse approaches
• Contribute to strategic initiatives focused on improving data-driven decision-making

Team & Environment

• Reporting into a senior data leader
• Lean internal data function supported by external delivery partners
• Collaborative, outcome-focused culture
• Environment where technical judgement and stakeholder influence matter more than hierarchy

What They’re Looking ForCore Experience

• Strong background in modern, cloud-based data and analytics environments
• Experience designing or overseeing enterprise data platforms and analytical solutions
• Good understanding of contemporary data architectures (e.g. warehouse, lakehouse, layered models)
• Comfortable working alongside and challenging third-party delivery teams
• Proven ability to operate as a senior technical voice without direct management responsibility
• Confident communicator, able to engage credibly with both technical teams and senior business stakeholders

Profile Fit

• A technically credible data professional who enjoys being close to delivery
• Comfortable balancing governance, design, and pragmatic execution
• Able to influence outcomes through expertise rather than authority
• Thrives in complex, highly visible environments

Nice to Have

• Exposure to regulated or data-intensive industries (e.g. financial services, insurance, telecoms)
• Experience supporting enterprise-scale reporting and analytics platforms

If you have the above and arre lookingfor a new role where you can operate at the intersection of technology, analytics, and business change, with strong visibility across senior stakeholders then PLEASE APPLY NOW FOR IMMEDIATE CONSIDERATION!!!

Data Engineer - Microsoft Fabric & Power BIBirmingham City Centre based

£65K - £75K

We’re partnering with a growing, data-driven organisation looking to hire a Data Engineer to take ownership of their end-to-end data platform.

This is a hands-on role focused on building a modern data stack within Microsoft Fabric. You’ll design and develop pipelines, structure data models, and deliver reporting through Power BI that supports decision-making across marketing, sales, finance, and operations.

There is a clear progression path into leadership as the data function grows, but the initial focus is on building a scalable, high-quality data platform from the ground up.

The Role

• Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL
• Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles
• Integrate data from ecommerce, ticketing, and marketing platforms into a central data layer
• Connect sources such as GA4, Google Ads, Meta Ads, and affiliate platforms via APIs and native connectors
• Own data quality, monitoring, and governance across the platform
• Design and implement dimensional data models (fact/dimension tables, star schema)
• Build and maintain Power BI semantic models with DAX, KPIs, and row-level security
• Deliver dashboards and reporting across commercial, marketing, and operational performance
• Support analytics use cases including attribution modelling, cohort analysis, and customer segmentation
• Translate business requirements into data solutions and present insights to stakeholders
• Promote best practices in data engineering, documentation, and version control

Requirements

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, pipelines)
• Advanced SQL and strong PySpark experience
• Proficiency in Python for data processing and API integration
• Experience building Power BI models and dashboards for business reporting
• Strong understanding of ETL/ELT design and data modelling principles
• Experience integrating third-party data via REST APIs
• Knowledge of data quality, monitoring, and governance practices
• Experience using Git or similar version control tools
• Comfortable working in a hands-on, standalone capacity

Data Engineer - Please apply asap if interested - GleeIT

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Head of Data, Hybrid - South London, COR7547

Are you a skilled Data expert with leadership experience looking for a role where you can make an impact? This could be the opportunity for you!

The RoleAs Head of Data, you will provide strategic direction for how data is structured, managed and leveraged across the organisation. This is a senior leadership position focused on building a reliable, well-governed data environment that supports insight-led decision making and continuous improvement across a large organisation.

You will also play a key role in shaping how advanced analytics and emerging technologies are introduced, ensuring they are used responsibly and effectively to support forecasting and performance improvement.

The CompanyOur client is a public sector organisation with a focus on improving outcomes through collaboration, innovation and evidence-based practice. The organisation places significant emphasis on using information and insight to support operational excellence, with a culture that values learning, development and shared expertise across its network.

This is a hybrid role with flexibility to work from home, alongside time spent at their offices in South London.

What’s Required?

The ideal candidate for this role will bring:

• The ability to lead innovation, pilot new approaches and support scalable adoption of data solutions
• Strong experience with Microsoft data technologies including Power BI, Power Apps, Power Automate and Microsoft Fabric
• Advanced SQL skills and practical experience using Python for data analysis and insight generation
• Proven ability to design and implement data strategies within large, complex organisations
• Any experience within public sector environments would be a plus!

Apply now and take a leading role in shaping the data practices and environment within this leading company!

Head of Data, South London, COR7547

Corriculo Ltd acts as an employment agency and an employment business. #JC #ChannelA

FP&A Analyst, Up to £75,000, Oxford 2 Days per week

We are supporting a client in South-Central Oxford with the recruitment of a Finance Systems & FP&A Analyst - a hybrid role that blends financial planning, systems ownership and data architecture across a growing international business.
This position sits at the intersection of FP&A, finance systems and data management. The successful candidate will not only support budgets, forecasts and commercial insight, but also act as the architect and custodian of the underlying data structures, ERP configuration and reporting tools that power financial decision-making.It’s an ideal opportunity for someone who enjoys variety, thrives in a fast-moving environment and wants to influence how finance systems and data evolve as the business scales.
Oxford-based - 2 Days Per week on-site
Up to £75,000

Key ResponsibilitiesFP&A & Commercial Insight

• Maintain and enhance the company’s core financial model, ensuring accuracy, scalability and alignment with new tools and AI capabilities
• Standardise planning processes across departments to eliminate silos and improve consistency
• Lead the technical delivery of annual budgets and rolling forecasts, challenging assumptions where needed
• Provide deep-dive analysis into business performance, delivering clear insight to senior leadership

Systems Architecture, Development & Integrity

• Act as functional lead for the ERP and connected finance tools, ensuring structures and master data support business complexity
• Identify inefficiencies and design system-based automation solutions (e.g., automated reconciliations, data triggers)
• Work with non-finance teams to ensure operational data flows accurately into finance systems
• Create a “single source of truth” across the organisation

Data Engineering & Business Intelligence

• Develop and automate reporting using tools such as Power BI, Jet Reports or similar
• Build dashboards to support day-to-day decision-making
• Ensure all departments understand how data structures map into financial reporting
• Maintain strong data governance and drive improvements in data quality and storage

Qualifications & Experience

• Professional accounting qualification (ACA/ACCA/CIMA) preferred; part-qualified with strong experience also considered
• 5+ years in financial analysis or finance systems roles
• Experience delivering full budget cycles and forecasting in a dynamic environment
• Strong ERP experience (Dynamics, Oracle, SAP, Sage) and BI tools (Power BI, Tableau)
• Comfortable working with non-finance teams to translate operational activity into financial outputs
• Understanding of relational databases and financial data structures
• Confident working in a fast-paced, evolving environment with high autonomy

MIS & Data Manager
Cambridge
1 year fixed term contract initially - likely to go permanent
33,966 to 40,012 (Actual Salary offered DOE)
(Term time role + 8 weeks) + Pension + Additional Benefits

Excellent opportunity for a Data or Systems professional with MIS experience looking for a role offering autonomy and the chance to play a key part in a major systems transformation, taking ownership of data and information systems within a highly regarded independent school.

This organisation operates within the independent education sector and has an outstanding national reputation for academic excellence and pupil development. They are well-established, forward-thinking, and place a strong emphasis on innovation, quality of education, and staff development within a supportive working environment.

This role is pivotal during a period of change, supporting the implementation of a new MIS while maintaining the current system. It is a standalone position, giving you the opportunity to take ownership, develop your expertise, and become the long-term systems lead. On a day-to-day basis, you will manage data integrity, system administration, reporting processes, and staff support, while working closely with external consultants and internal stakeholders.

The ideal candidate will come from a Data, Systems or MIS-focused role, ideally within education or a similar environment, and will have experience working with databases or management information systems. You will be highly organised, detail-oriented, and confident supporting users with varying levels of technical ability.

This is a fantastic opportunity to take ownership of a critical function, gain exposure to a full MIS implementation project, and develop into a key systems specialist within a prestigious educational setting.

The Role:
Information Systems & Data Officer, acting as system owner across legacy and new MIS platforms
Responsible for day-to-day MIS administration, including user management, data accuracy and system configuration
Support full academic reporting cycles, including markbooks, report templates and validation processes
Maintain dashboards, assessment data and standardised testing records
Provide first-line support to staff and liaise with external system providers
Play a key role in MIS implementation, including testing, migration and configuration
Oversee school portal and linked systems, ensuring smooth integration and performance
Based onsite in Cambridge

The Person:
Experience in a Data, Systems or MIS role, ideally within education or a similar environment
Experience working with databases or management information systems (e.g. iSAMS, 3Sys, Veracross or similar)
Strong data accuracy, data management and organisational skills
Confident supporting and communicating with a range of stakeholders
Strong IT skills, including Microsoft Office and data handling
Able to manage multiple priorities and work independently in a standalone role
Based within a commutable distance of Cambridge and happy to work onsite

Reference Number: BBBH(phone number removed)

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.

We are an equal opportunities company and welcome applications from all suitable candidates.

Business Analyst (Data)

Market Day Rate - Inside IR35 via Umbrella

3 months

Location: Role can be remote working (candidates must be UK based)

Experienced, UK based Data focused Business Analyst’s are required with experience of analysing the “As is” state and workflows, along with strong Datawarehouse Lake and Fabric Azure skills.

To be an accomplished Business Analyst, you should possess a combination of technical and analytical skills, including:

• Data Warehouse and Lake Skills: Proficiency in using data warehouses and lakes for effective data management and analysis.
• Azure Skills: Familiarity with Azure services, including Azure Data Factory and Azure Synapse Analytics, for data integration and transformation.
• “As is” state analysis - Documenting and understanding the current operational reality, processes, and technological landscape before initiating any change or digital transformation.
• Analytical Skills: Ability to analyze the current state and workflows, assess risks, and understand requirements.
• Communication Skills: Strong interpersonal skills to effectively communicate with stakeholders and manage projects.
• NHS experience is highly desirable

If your profile demonstrates strong and recent experience in the above areas - please submit your application to Jackie Dean at TXP today for consideration.

Please note due to the high volume of applications and to ensure a fair process, we are unable to accept phone calls. All applications must be submitted online. Rest assured, our team will review your application and provide an update via email as soon as possible.

Head of Data required by a well-established, technology-driven organisation who are investing heavily in their data and product capabilities. As part of this growth, they are looking to appoint a Head of Data to lead and evolve both functions, driving real business value through technology, insight and innovation.

This is a senior leadership role where you’ll take ownership of the data and product strategy, shaping roadmaps, improving operational efficiency and delivering impactful software and analytics solutions across the business.

The Role

As Head of Data, you will lead multidisciplinary teams across Product, Business Analysis, Data Engineering, BI and Data Science. You’ll work closely with senior stakeholders and operational teams to translate business needs into clear, deliverable outcomes.

Key responsibilities include:

• Defining and owning the product and data strategy, aligned to business goals and KPIs
• Leading and developing high-performing Product and Data teams
• Translating operational challenges into clear product roadmaps, user stories and technical requirements
• Managing and prioritising the product backlog, ensuring effective delivery
• Establishing strong data governance frameworks (quality, ownership, security, compliance)
• Driving the evolution of data platforms and reporting, enabling actionable insight
• Communicating progress, priorities and value to senior stakeholders
• Embedding a culture of continuous improvement, collaboration and data-driven decision making

About You

We’re looking for an experienced leader with a strong blend of product, data and business analysis expertise.

You will have:

• Proven experience in a senior Product / Data / BA leadership role within a technology-led environment
• A track record of delivering product roadmaps and/or data strategies that drive measurable outcomes
• Experience managing multidisciplinary teams (Product, BA, Data, BI)
• Strong stakeholder engagement skills, with the ability to communicate complex concepts clearly
• Solid business analysis capability - requirements gathering, process mapping, specifications
• Experience with BI, analytics or modern data platforms (e.g. cloud, centralised reporting)
• Familiarity with tools such as Jira / Azure DevOps, Power BI, Excel
• A highly organised, analytical mindset with a focus on delivering value

If you are looking for a role of this nature please get in touch for more information

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Job Title: Software Architect
Rate: 515 per day (Inside IR35)
Location: Remote - occasional travel to Telford
Clearance: Active SC Clearance required

Overview

We are seeking an experienced Software Architect to support on governance and development across DMAP Velocity Change Model projects. This role focuses on delivering robust architectural solutions, ensuring best practices, and contributing to the full development lifecycle.

Key Responsibilities

• Define and produce high-level and low-level solution designs
• Support governance and architectural oversight across projects
• Collaborate with development teams in Agile environments
• Contribute to data modelling and system integration design
• Ensure alignment with development lifecycle standards (D4D)
• Support and enhance test automation frameworks

Key Skills & Experience

• Strong experience with Talend, Unix, Oracle SQL, and Oracle PL/SQL
• Proficiency with Jira, Confluence, GitLab, Vault, and Artifactory
• Experience working with AWS
• Knowledge of Berlin JobScheduler
• Solid understanding of Agile methodologies
• Experience designing scalable and secure architectures
• Strong data modelling capability

Desirable Skills

• Experience with Denodo

If this Software Architect role is of interest apply now, or email your CV to me at (url removed)

Data Engineer for a major offshore wind project in The United Kingdom

Responsibilities

• Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources.
  Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture.
  Work within clients existing security framework to establish compliant connectivity to operational data sources.
  Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL.
  Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery
  Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling.
  Contribute to technical documentation and ensure pipelines are maintainable and transferable.
  Stay current on Databricks and Azure platform developments relevant to the stack.
  Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
  Professional certifications in Azure, Databricks preferred
  Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus.
  4-7 years of hands-on data engineering experience in a cloud environment.
  Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent).
  Proven ability to implement Medallion architecture or equivalent layered data modelling patterns.
  Experience with REST API ingestion and integration of business systems (ERP, finance tools).
  Experience in a contractor or project-based delivery model preferred.
  Exposure to OT/SCADA environments or energy sector data.
  Exposure to MLOps workflows or collaboration with data science teams.

Role: Data Architect / ModelerType: PERM / Subcon
Location: Basildon, UK
Working Model: Fully Onsite (5 Days in office per week)

PERM Salary: 70 - 72K GBP/Annum
Subcon Payrate: Open

About the Role: Are you an expert in shaping enterprise data ecosystems? We are currently seeking a highly skilled Data Architect / Modeller to design and maintain the overall data architecture for the DAP, ensuring optimal scalability and performance.

Key Responsibilities:

• Design and maintain the data architecture to guarantee scalability and high performance.
• Create detailed logical and physical data models to effectively support our business requirements.
• Collaborate closely with engineering teams to ensure seamless data integration and robust data governance.
• Establish and champion data modelling standards and best practices across the organization.

What We Are Looking For:

• Mandatory Skills: Proven expertise in Data Architecture and hands-on experience with TOAD Data Modeler.
• Extensive background in data architecture and modelling within large enterprise environments.
• Familiarity with cloud data platforms and modern data modelling tools.
• Strong analytical and problem-solving skills to tackle complex data challenges.

This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

We re hiring a Senior Data Steward/Analyst to take ownership of the quality, governance, and reliability of commercial master data across a global enterprise. This role exists because data quality is recognised at an executive level as critical to commercial performance, regulatory confidence, and future scalability. It is an ongoing data governance role, not a one off cleanup or remediation project.

While the initial focus will be on US-based Veeva CRM data, the remit is global by design and will expand as the wider enterprise data ecosystem matures across CRM, ERP, and analytics platforms.

The Role

As Senior Data Steward, you will act as the global owner of commercial master data, working across regions, systems, and functions to ensure data is accurate, consistent, governed, and trusted. You will use Master Data Management (MDM) tooling (e.g. Syncari or equivalent) to control data flows, enforce standards, and prevent poor-quality data from propagating across the organisation. This role sits at the intersection of business, technology, analytics, and compliance.

Key Responsibilities

Global Data Stewardship & Governance

• Act as the global Data Steward for commercial master data, including Accounts, HCPs, HCOs, and hierarchies
• Own and enforce data quality standards across regions to ensure consistency, accuracy, and reliability
• Align governance practices with regional regulatory, privacy, and commercial requirements
• Define, document, and maintain data governance processes, standards, and SOPs

Veeva CRM Data Ownership (Must Have)

• Serve as the primary Data Steward for Veeva CRM
• Own customer mapping, hierarchy management, and overall data accuracy
• Govern the full lifecycle of Veeva CRM data in line with internal standards and compliance expectations
• Support both US and European Veeva configurations, ensuring visibility into regional differences while maintaining shared global standards
• Identify and resolve data quality issues including duplicates, incorrect mappings, missing attributes, and legacy account structures
• Partner closely with commercial and operational stakeholders to ensure Veeva data reliably supports sales execution, reporting, and analytics

Master Data Management & Integration Oversight

• Use MDM tools (e.g. Syncari or similar) to govern data synchronisation between Veeva CRM and downstream systems
• Define and enforce source-of-truth and data authority rules
• Prevent low-quality data from propagating across the enterprise
• Perform root-cause analysis when data issues surface in reporting, analytics, or operational workflows

Data Quality Monitoring & Analytics Enablement

• Conduct data profiling, audits, and reconciliation to ensure reporting and analytics data is trusted
• Define and track data quality metrics, demonstrating continuous improvement over time
• Collaborate with BI, Analytics, IT, and Sales Operations teams to resolve discrepancies and improve upstream data processes

About You

You will bring a strong blend of data governance expertise, CRM mastery, and stakeholder influence, with the confidence to own global standards and the practical skills to resolve complex data problems.

Required Experience & Skills

• Hands-on Veeva CRM experience (Accounts, Addresses, Affiliations, hierarchy management)
• 3 5+ years experience in Data Stewardship, Data Governance, or Master Data Management
• Strong experience managing CRM data, ideally within Life Sciences, Healthcare, or a regulated environment
• Hands-on experience with MDM or data integration tools (Syncari preferred; alternatives welcomed)
• Strong SQL skills for data analysis, investigation, and troubleshooting
• Solid understanding of data quality frameworks and governance principles
• Proven ability to work cross-functionally and explain data concepts to non-technical stakeholders
• Experience supporting commercial, sales, or operational analytics use cases
• Familiarity with healthcare master data domains (HCP, HCO)
• Experience with relational databases (e.g. PostgreSQL)

Nice to Have

• Exposure to SAP master data
• Experience working with Snowflake or enterprise analytics platforms
• Involvement in data migrations, platform consolidations, or large-scale data transformations
• Experience with rules-based matching, deduplication, or AI-assisted data quality processes

Why Join

• A true ownership role with executive sponsorship
• Global remit with meaningful influence over how data is governed and trusted
• Opportunity to shape governance foundations that support analytics, automation, and AI
• Work in a regulated, high-impact environment where data accuracy genuinely matters
• Strong benefits package
• Starting salary £65,000 - £70,000 DOE
• Bonus structure

For more information please click APPLY now or call Nathan Handley on (phone number removed).

The organisation has multiple locations across the UK/Europe and Globe but this is a UK based hire. Remote options are available with ad hoc travel to their outer London office when needed.

Please note we are unable to provide sponsorship at this present time.

Data Migration Specialist - Christian Charity (Cezanne HR Implementation) Location: London Bridge, London Contract: Temporary (3 months initially, with potential extension) Start Date: May 2026 Salary: Dependent on experience We are working with a well-established Christian charity based in London Bridge who are seeking an experienced Data Migration Specialist to support the implementation of their newly acquired HR system, Cezanne HR. This is a hands-on role where you will play a key part in ensuring a smooth and accurate transition of HR data into the new system. The assignment will begin in May to align with the system implementation and will run for an initial period of three months. Key Responsibilities: Lead the migration of HR data into the Cezanne HR system Cleanse, validate, and reconcile data to ensure accuracy and integrity Map data fields between legacy systems and Cezanne HR Work closely with HR and project stakeholders during the implementation phase Identify and resolve data discrepancies and issues Support testing and system go-live activities Document processes and provide guidance to internal teams Requirements: Proven experience in data migration, ideally within HR systems Experience with Cezanne HR (highly desirable) or similar HRIS platforms Strong data analysis and problem-solving skills High attention to detail and accuracy Ability to work independently and manage deadlines Strong communication skills About the Role: This is a fantastic opportunity to contribute to a values-driven organisation making a positive impact in the community. You will play a vital role in ensuring data quality and supporting a successful transition to a modern HR system during an important period of change. If you are available from May and have relevant experience, we would love to hear from you.

We're hiring a Finance Systems & FP&A Architect to join a fast-growing, international business.This is a high-impact, hybrid role combining FP&A, systems ownership, and data architecture - ideal for someone who wants to go beyond traditional finance and build the infrastructure behind it.What you'll do Lead budgeting, forecasting, and financial modelling Own and evolve the ERP and finance systems ecosystem Drive automation, data integrity, and process improvement Build Power BI dashboards and reporting solutions Partner across the business to create a true single source of truthWhat we're looking for Strong FP&A background with hands-on modelling experience Proven experience with ERP systems and BI tools (Power BI) A clear passion for systems, data, and process improvement Comfortable working across finance and non-finance teamsWhy this role?This is not a standard FP&A role - you'll shape how finance, systems, and data come together in a scaling business.If you enjoy owning both the numbers and the systems behind them, this is for you.Greenwell Gleeson Ltd is acting as an Employment Business in relation to this vacancy.To find out more about how and why Greenwell Gleeson Ltd process your personal data in line with the data protection regime please go to the privacy notice on our website

As a Senior Data Engineer within the Data Engineering team, you will play a key role in building, enhancing, and maintaining our enterprise data platform on Snowflake. You will develop and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation.

You will translate the data platform strategy into high-quality technical solutions, ensuring our Snowflake environment is reliable, well-structured, and performant. You will champion engineering best practices and contribute to standards that improve the quality, consistency, and usability of data assets.

Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and the foundations for advanced analytics and future AI/ML capabilities.

Key Accountabilities & Responsibilities

Snowflake Data Engineering Delivery
Design, build, and maintain high-quality data pipelines and models in Snowflake to support business analytics, BI, and operational reporting needs.

Data Architecture Implementation
Translate the defined data architecture and standards into implemented solutions including ingestion, transformation, storage, and performance optimisation.

Pipeline Development & Orchestration
Develop robust ELT/ETL pipelines using dbt and workflow/orchestration tools (e.g., Argo Workflows), ensuring reliability, maintainability, and adherence to engineering best practices.

Performance & Cost Optimisation
Implement Snowflake warehouse configurations and query optimisation techniques to ensure efficient usage and predictable cost.

Data Quality & Governance Execution
Apply data quality checks, lineage tracking, and security standards across the data estate. Ensure compliance with data policies, InfoSec controls, and regulatory requirements as required.

Tooling & Feature Adoption
Leverage Snowflake capabilities (Tasks, Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation, reduce manual effort, and enhance data accessibility across the business.

Collaboration & Support
Work closely with analysts, data consumers, and business stakeholders to support data product delivery, troubleshoot data issues, and enable effective usage of Snowflake datasets.

Enablement for Analytics & Data Science
Implement dimensional models that provide clean, well-structured, reusable datasets for reporting, scenario modelling, and emerging ML/AI use cases.

Monitoring, Reliability & Operations
Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines to ensure a stable and well-maintained platform.

Continuous Improvement of Engineering Practices
Contribute to shared engineering standards to simplify development and accelerate delivery across the team.

Knowledge & Skills

• Proven experience in delivering cloud-based data engineering solutions, ideally with Snowflake.
• Strong hands-on proficiency with SQL, Python, and dbt for data transformations, modelling, and pipeline automation.
• Practical experience with Snowflake and RBAC management.
• Experience with data ingestion and replication tools such as Airbyte, Fivetran, Hevo, or similar.
• Working knowledge of cloud services (AWS preferred).
• Strong understanding of data modelling and data governance principles.
• Experience supporting BI/reporting tools (Power BI) and enabling them through well-designed Snowflake data models.
• Solid knowledge of CI/CD and version-controlled development practices in git.

Desirable

Enterprise System Familiarity
Exposure to CRM (Salesforce), BSS/OSS (Netadmin), Call Centre, Telephony, or similar enterprise data sources.

Data Migration Experience
Participation in migrating data platforms (e.g., PostgreSQL or other cloud RDBMS) into a data warehouse like Snowflake with minimal disruption and strong data validation controls.

Change & Adoption Support
Experience supporting business teams during platform transitions (e.g., training, documentation, user onboarding, issue resolution).

Best Practice Contribution
Experience contributing to naming conventions, schema standards, environment management, testing frameworks, and security patterns for data platforms.

Continuous Learning & Innovation
Interest in staying up to date with the latest technologies, modern data stack tooling, and best practices to contribute to ongoing platform evolution.

Infrastructure as Code

Exposure to Terraform would be advantageous.

Gigaclear is a growing Fibre Broadband (FTTP / FTTH) company, developing our fibre-to-the-premises broadband infrastructure to some of the most difficult to reach areas of the UK, empowering those communities with broadband to rival any city.

Remote - occasional travel to London required

515 pay inside ir35

Active SC clearance

Role Overview

We are seeking a highly experienced Monitoring and Governance Subject Matter Expert (SME) to lead the design, implementation, and optimisation of monitoring capabilities across Microsoft Fabric and Azure ecosystems. The role focuses on Microsoft Purview, Azure monitoring services, and unified observability across data platforms including Power BI.

You will act as a technical authority, guiding stakeholders on best practices for monitoring, compliance, data governance, and security within a complex enterprise environment.

Key Responsibilities

Design & Implementation

• Lead the discovery, definition, and implementation of enterprise monitoring solutions across Microsoft Fabric and Azure.
• Implement and optimise Microsoft Purview capabilities including:

• Data Catalogue
• Data Lineage
• Data Classification
• Sensitivity Labels
• Data Loss Prevention (DLP)

• Configure and manage monitoring tools including:

• Azure Monitor / Log Analytics
• Azure Sentinel
• Fabric Capacity Metrics
• Monitoring Hub
• Fabric Unified Admin Monitoring (FUAM)
• Insight Manager

• Ensure effective monitoring integration within Microsoft Fabric and Power BI environments.

Technical Leadership & Consultancy

• Act as the SME for monitoring, observability, and governance solutions.
• Provide best practice guidance on data security, compliance, and monitoring frameworks.
• Advise stakeholders across technical and non-technical teams.
• Support decision-making in ambiguous or evolving requirements.

Operational Support & Enablement

• Produce and maintain high-quality documentation including Low-Level Designs (LLDs) and Standard Operating Procedures (SOPs).
• Develop end-user guides and training materials.
• Deliver knowledge transfer sessions and training to operational teams.
• Support continuous improvement of monitoring and governance processes.

Required Skills & Experience

• Deep hands-on experience with Microsoft Purview, including governance, catalogue, lineage, and DLP.
• Strong expertise in Azure and Microsoft Fabric monitoring tools, including:

• Azure Monitor
• Log Analytics
• Azure Sentinel
• Fabric Capacity Metrics
• Monitoring Hub
• Fabric Unified Admin Monitoring (FUAM)

• Experience with M365 security technologies and data governance frameworks.
• Strong understanding of data security concepts, including classification, sensitivity labels, and DLP policies.
• Proven ability to configure, administer, and troubleshoot enterprise monitoring solutions.
• Familiarity with advanced workspace monitoring (desirable).
• Microsoft certifications preferred (e.g. DP-600, DP-700 or equivalent Fabric/Azure certifications).
• Ability to learn quickly and apply new concepts in a fast-moving environment.
• Comfortable working in ambiguous or evolving technical landscapes.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

Our Client is one of the world’s longest standing general insurers, providing peace of mind to individuals and families, and protecting small businesses and large corporations from uncertainty for more than 305 years. They provide award-winning personal, commercial and specialty insurance products and services direct-to-customers, via brokers and affinity partners.

On behalf of this organisation, AMS are looking for a Data Management Lead for a 9 month contract based in London (hybrid model, 3 days a week in the office).

Purpose of the role:

The Data Management Lead is responsible for developing and overseeing the implementation of data management practices, ensuring high data quality, governance and compliance across the organisation.

This role will focus on establishing robust data management frameworks for our client’s Enterprise Data Foundation and drive the implementation informed by use cases. The role will collaborate closely with data governance, engineering and business teams to enable data as a trusted asset.

What you’ll do:

• Establish and manage data quality frameworks and processes to ensure that data is accurate, complete, and reliable.
• Oversee the development of data quality dashboards and KPIs to track the health of critical data assets.
• Ensure all data management practices comply with regulatory and industry standards.
• Work closely with compliance teams to ensure data is handled securely and adheres to privacy standards.
• Implement systems and processes to capture and maintain comprehensive metadata and data lineage for key data assets.
• Oversee enterprise MDM/RDM strategy implementation, ensuring that master data across key business domains (e.g., customers, policies, claims) is consistent and accurate across all systems.
• Collaborate with enterprise data architecture, data delivery, and business teams to ensure that data management practices are embedded throughout the data lifecycle-from data sourcing to data consumption.
• Work closely with IT and security teams to ensure that data is handled securely, protecting it from unauthorised access, breaches and data loss.
• Lead the delivery of training programs to raise awareness of data management practices across the organisation.

The skills you’ll need:

• Strong delivery experience to develop and execute roadmaps and implementation plans.
• Hands-On expertise in data quality, metadata, lineage, MDM/RDM strategies and regulatory compliance.
• Familiarity with data management platforms (e.g., Purview, Collibra, Informatica) and tools.
• Experience and a strong working knowledge of developing and implementing data quality solutions.
• Experience with cloud data platforms (e.g., Azure) and data governance tools.
• Ability to work with cross-functional teams to enforce and implement data management solutions.
• Ideally hold strong Insurance domain knowledge (preferred), or financial background.

Next steps

This client will only accept workers operating via an Umbrella or PAYE engagement model.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

Job Title: Senior Data Quality AnalystTarget Start Date: Q2 2026Contract Type: Permanent, Full TimeSalary Range: £65,000 - £70,000Location: Eastleigh, Hybrid (1x week)Closing Date for applications: 7th May

Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you’ll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation.Main Responsibilities as Senior Data Quality Analyst:

• Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions
• Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems
• Develop data profiling, reporting and monitoring solutions using SQL and Python
• Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets
• Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers
• Champion the value of data quality through governance forums, stakeholder engagement and guidance materials
• Support delivery of the strategic data quality roadmap and key governance outcomes
• Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services

Skills and experience you need as Senior Data Quality Analyst:

• Strong experience implementing data quality processes and governance frameworks within complex data environments
• Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation
• Experience working with modern cloud data platforms, particularly Databricks
• Experience profiling datasets and defining data quality rules, controls and monitoring approaches
• Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams
• Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar
• Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams
• Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI

Qualifications:

• DAMA CDMP (Certified Data Management Professional) or equivalent.

• Recognised Data Quality Specialist certification or training.

Desirable:

• Experience in the insurance or financial services sector.
• Exposure to data migration or transformation programmes.

At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.Here are some of the benefits you can enjoy at Ageas:

Flexible Working- Smart gives employees flexibility around location (as long as it’s within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.

Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness.

Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.

Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more.

Supporting you and your Family-Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay.

Benefits for Them- Partner Life Assurance and Critical Illness cover.

Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops.

Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.

Supporting you back to work- Return to work programme after maternity leave.

About Ageas:We are one of the largest car and home insurers in the UK.Our Peoplehelp Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We’re a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit