£600-650/day overall assignment rate to umbrella

6-month initial contract

Bristol-based

Working with a financial services client who are looking for a business-facing Data Architect. The Architect will be responsible for facing off to 3rd parties and defining data architecture.

Data Architect, key responsibilities:

• Lead the design and implementation of end-to-end data architecture
• Work closely with 3rd party
• Definition of road-map
• Ability to work with large datasets
• Ideally Snowflake experience
• Establish and enforce best practices for data quality
• Work with non-technical stakeholders

Data Architect, Snowflake

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Data Engineers (Consultant & Senior) - Contract - Microsoft Fabric

I’m supporting a public sector organisation looking for two hands-on Data Engineers (1 x Consultant, 1 x Senior) who can hit the ground running and deliver real value from day one.

You’ll lead and deliver end-to-end Microsoft Fabric engineering across a busy, multi-team environment. This includes building and optimising bronze-silver-gold pipelines, shaping lakehouse architecture, and driving high-quality data integration, modelling, and transformation.

Location: 1 day per week on-site in Morpeth

Duration: 6 Months

Rates (Inside IR35)

Senior Data Engineer: £500/day

Consultant Data Engineer: £400/day

Clearance: BPSS only

What They’re Looking For

Expert Microsoft Fabric engineer with strong end-to-end platform capability

7+ years’ data engineering experience in complex environments

Strong in pipeline build, integration, modelling, lakehouse optimisation, and semantic design

Confident implementing data matching, data quality rules, and governance standards

Proven experience creating optimised Power BI models and intuitive dashboards

Comfortable operating independently in agile delivery teams

Integration experience across contact centre platforms (AWS Connect), CRM systems, and line-of-business applications

Able to support analytics teams and enable channel shift & operational insight reporting

Interviews are set to begin next week , so if you’re available and have the right experience, get in touch today .

TPBN1_UKTJ

Data Lineage Developer for Tier 1 bank in Canary Wharf

Role - Data Lineage Developer

Duration - 6 months with very likely extension

Location - Hybrid/Canary Wharf - 3 days per week in a Canary Wharf office

Rate - £415 per day (Inside IR35)

Tech Stack

• C#
• Oracle
• PL/SQL
• Data Lineage
• Data Mapping
• Data Flows
• Documentation

Role

• Primary responsibility will be to reverse-engineer complex source code to document data flows and transformations. You will collaborate closely with application teams, DBAs, and data governance specialists to ensure that lineage artifacts are complete and aligned with organizational standards. Your work will help enhance the understanding of our data assets, enabling better decision-making across the organization.

Tasks

• Analyse C#/.NET application source code to identify SQL interactions and data flows.
• Review Oracle PL/SQL scripts, stored procedures, and ETL logic to document transformations and dependencies.
• Extract and organize technical details for lineage mapping, ensuring clarity and accuracy.
• Collaborate with Collibra engineers to register lineage and metadata assets in the Collibra platform.
• Validate lineage completeness through cross-team communication with DBAs and application developers.
• Manage version control for analysed source code and related documentation, ensuring all updates are tracked and aligned with established governance standards.
• Provide technical insights to resolve ambiguities in code logic and database interactions.

Key Skills & Requirements:

• Strong proficiency in C#/.NET and Oracle PL/SQL, including complex query analysis and performance tuning.
• Solid understanding of Application Server and Oracle database structures.
• Python Scripting skills for automation or data analysis (desirable).
• Familiarity with data lineage concepts and metadata management.
• Experience with Collibra or similar data governance tools (preferred but not mandatory).
• Ability to interpret complex source code and explain findings to both technical and non-technical stakeholders.
• Strong documentation skills for creating clear, structured lineage artifacts.
• Demonstrated ability to collaborate and communicate effectively with system owners and DBAs, accurately documenting technical requirements.
• Ability to work collaboratively across multiple teams and time zones.

GCS is acting as an Employment Business in relation to this vacancy.

Role: SAP Data Model Analyst
Business Unit: Scottish Power Energy Networks
Location: Glasgow HQ
Rate: Negotiable, Inside IR35, umbrella and PAYE rates
Job purpose statement:
SP Energy Networks is migrating its business-critical asset data from SAP EEC to SAP S4/HANA. This programme spans multiple business areas and will impact thousands of users and critical safety processes.
As the SAP Data Model Analyst with Network Planning & Regulation (NP&R) your primary responsibility is to lead the analysis of the current SAP Data Model and support non-technical users in understanding how business processes and priorities are delivered within the system, facilitating key decision making by senior stakeholders.
You will also collaborate with the Data Governance Analysts to capture core functionality rules within the current SAP Data Model to support the data quality assessment, and support a team of SAP Data Administrators in managing SAP data model change requests, ensuring that they adhere to Data Best Practices and consider the impacts upon the SAP S4/HANA Migration programme.
Main Duties:
• Collaborate with the NP&R SAP S4/HANA project team, and the wider business stakeholders, in the delivery of the project to migrate from SAP EEC to SAP S4/HANA.
• Translate between Data Model concepts and business concepts for non-technical stakeholders with NP&R, and the SAP Migration Programme team.
• Contribute to the SAP S/4HANA Data Model development, championing critical Asset Management business processes and priorities throughout the development of the conceptual and logical models.
• Maintain a holistic view of data model changes being applied to the SAP EEC Data Model, ensuring that they are considered and addressed during SAP S4/HANA Data Model development.
• Provide SP Data Model expertise to SAP Data Administrators and Data Governance Analysts to deliver project milestones.
Minimum Criteria:
Entry Qualifications:
HND or Degree level qualification
Specific:
Agile tooling (Jira) / Agile & DevOps
Entry Experience:
• 5+ years’ experience working with SAP for utilities – ideally electricity networks
• Experience with SAP S4/HANA would be advantageous but not mandatory
• Experience working on enterprise-level asset management with SAP PM Firsthand experience with SAP modules (e.g SAP OM, SAP MM, SAP SD)
• Excellent knowledge and understanding of relational data models and in the specification of To-Be data models
• Project Involvement: Experience working on SAP implementation or upgrade projects, even in supporting roles, is essential
• System Integration: Understanding of how different SAP modules integrate and work together
• Excellent attention to detail, with a focus on data quality and data management
• Excellent communication skills with the ability to present and report on outputs in a clear, concise way, and to meet the expectations of the target audience
Other:
Relevant SAP certifications are highly beneficial

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.

We partner with PwC to support their contingent recruitment processes. 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.

PwC is a hugely diverse business, bound by our global purpose - to build trust in society and solve important problems. Our greatest opportunity to deliver our purpose is through meaningful work that makes a difference to our clients and society. We have a culture of high performance built on exceptional quality, ethical and professional standards. We lead by example. Our standards for quality - and care - are high. And together we surpass them. We believe we can make the biggest impact when leading with our purpose, values and PwC Professional behaviours in every interaction.

On behalf of PwC, we are looking for a Data Architect for a 6 Month contract based in London.

The Role & Responsibilities:

PwC is seeking an experienced Data Architect to join a transformation programme. This is a key role supporting a multi-year, agile transformation with a strong greenfield mindset, aimed at delivering a Middleware MVP to go live this year.

You will play a pivotal part in shaping and aligning the data architecture across new and legacy platforms, with an initial focus on data flows, integrations, and understanding the current ‘as-is’ data estate. The programme includes a cross-functional team spanning architecture, delivery enablement, requirements, customer journey mapping, and process mapping.

What you’ll do:

• Own and define data architecture deliverables across the programme, ensuring alignment with evolving solution architecture.
• Map and document the current as-is data estate, including data domains, sources, flows, and integration points.
• Ensure strong alignment between Salesforce and legacy system data architecture, with a focus on seamless integration and data consistency.
• Collaborate closely with data modellers, solution architects, SMEs, platform managers, and data business analysts to build a comprehensive understanding of the data landscape.
• Deliver critical data architecture inputs to support the HMod architecture transition, focusing on integration touchpoints between Salesforce and legacy platforms.
• Identify data constraints, risks, issues, and blockers that may impact proposed solution architecture options and delivery timelines.
• Support detailed design and build planning for Middleware MVP, ensuring data architecture is delivery-ready.
• Work in close partnership with the Enterprise Data Architect, ensuring alignment with enterprise data strategy, governance, and standards.

Key Accountabilities, Skills & Experience:

• Proven experience as a Data Architect working across complex enterprise environments.
• Strong capability in data integration architecture, including cross-system data flows, interfaces, and dependencies.
• Experience supporting large-scale transformation programmes within financial services (insurance experience highly desirable).
• Strong understanding of customer data and operational data domains such as sales, servicing, claims, and customer journeys.
• Ability to engage effectively with UK-based stakeholders, including senior SMEs and business/technology leaders.
• Comfortable working in Agile delivery environments and fast-moving greenfield programmes.

Desirable / Nice to Have:

• Salesforce data architecture experience (advantageous).
• Experience with modern data platforms, analytics enablement, and enterprise-wide data strategy alignment.
• Experience delivering architecture inputs for middleware or integration MVPs in regulated environments.

Next Steps:

At PwC we want every individual to feel valued, respected and empowered to contribute fully. Creating an environment where everyone belongs and thrives unlocks greater innovation, productivity and deeper engagement.

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.

Role: Configuration Engineer
Position: Contract
Location: Hinkley Point C and SDC, Somerset
Duration: 12 Months Rolling
Rate: Circa £220 p/d PAYE + 36 days annual leave // Circa £300 p/d Umbrella

Job Purpose / Overview

As a Configuration Engineer, you will be part of a growing multidisciplinary team responsible for delivering Work Management Support and maintaining the digital As-Built configuration required to build, commission, and operate Hinkley Point C Power Station.

This role focuses on data extraction, validation, and assembly into datasets aligned with business rules and ready for submission to Asset Suite 9 (HPC’s chosen Enterprise Asset Management (EAM) system). You will support the population of the Project’s Master Equipment List and ensure accurate attribute data within HPC’s EAM tool.

Principal Accountabilities

• Population of the Equipment module in Asset Suite 9 with accurate asset identifiers and attributes.
• Performing data quality assurance for equipment installation and configuration references.
• Maintaining the asset/system schedules and resolving data anomalies.
• Producing weekly performance reports into the line manager for review, and upward reporting.
• Supporting the digital configuration through work management processes.
• Collaboration with Construction Contract Partners, Completions, and Handover teams to ensure consistent data across platforms.

Essential Skills:

• Strong experience in asset data analysis and validation.
• Proficiency in Microsoft Excel, Word, and Power BI.
• Ability to work independently and manage data integrity.
• Experience with SAP, EDRMS or other CMMS systems.

Desirable Skills:

• Familiarity with Asset Suite/Passport or other EAM tools.
• Background/experience in engineering disciplines or interpreting engineering drawings.
• Previous experience of working in a construction, completions, and/or data management related industry.

Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.

Role: Senior Data Engineer Contract: 6 months Location: London - EC1M (Hybrid – minimum 2 days per week onsite) Rate: £425/day (Inside IR35) Start: ASAP Positions: 4 The Opportunity We are looking for experienced Senior Data Engineers to join a large-scale retail data transformation programme. You’ll work on modern cloud data platforms, building robust, scalable data pipelines that power analytics, reporting, and downstream data products. This is a hands-on role with strong exposure to Snowflake, DBT, cloud platforms (AWS/Azure) and modern engineering best practices. You’ll collaborate closely with architects, analysts, and business stakeholders, and play a key role in setting technical standards within the team. Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines * Build and optimise data transformations using DBT and SQL * Implement and maintain data models (Data Vault experience highly desirable) * Monitor, troubleshoot, and optimise production data pipelines * Work with Snowflake to deliver high-performance analytics solutions * Collaborate with cross-functional teams to translate business requirements into technical solutions * Support data governance, data quality, and best engineering practices * Mentor junior engineers and contribute to technical decision-making Essential Skills & Experience * Strong hands-on experience as a Senior Data Engineer * Snowflake data warehouse experience * DBT for data transformation and modelling * Advanced SQL and Python * Experience building pipelines using Airflow (or similar orchestration tools) * Cloud experience on AWS and/or Azure * Infrastructure-as-code exposure (e.g. Terraform) * Git-based version control (GitHub, Azure DevOps) * Strong communication and stakeholder engagement skills Desirable Experience * Data Vault (DV 2.0) modelling * Data governance tools (e.g. Alation) * Azure Data Lake, Delta Lake, Redis * CI/CD using GitHub Actions or Azure DevOps * Monitoring and observability for data platforms Why Apply? * Hybrid working with limited onsite requirement * Long-term, well-funded programme * Modern data stack and real-world scale * Multiple positions available – strong team environment

Oracle DBA - Sheffield - 6 months - Inside IR35

My client a leading Telecoms Company is looking for an Oracle DBA Administrator to join their Enterprise Cloud Services Infrastructure team. The successful candidate will be responsible for incident management and change implementation across key technical areas, with a focus on Oracle Database and MySQL Server technologies.This is a hybrid role with flexibility to work from either Birmingham or Sheffield.

You will play a critical role in delivering robust technical support to meet customer KPIs and SLAs, while actively contributing to continuous improvement initiatives using CI methodologies.

Key Responsibilities:

• Provide expert-level support for Oracle DB and MySQL Server within a large-scale enterprise environment.
• Manage and resolve incidents, implement changes, and troubleshoot complex technical issues.
• Ensure high availability and performance across Client’s database estate, which includes over 1000 databases hosted on 1500+ Servers.
• Collaborate with cross-functional teams to maintain and enhance Legacy and modern database systems.
• Apply CI (Continuous Improvement) practices to identify inefficiencies and drive operational enhancements.

Required Skills & Experience:

• Strong hands-on experience as an Oracle DBA, with a solid understanding of MySQL Server.
• Proven ability to own and resolve technical faults within enterprise cloud infrastructure.
• Familiarity with the latest versions of Oracle and a proactive approach to learning new database technologies.
• Experience working in large-scale environments with complex support structures.

If the role aligns with your experience please apply with your updated CV

Data Modeller (Specialty Insurance)

We are looking for an experienced Data Modeller to support a key partner-level engagement with our client

Role Overview:
* Translate business requirements into high-quality conceptual, logical, and physical data models.
* Work closely with business stakeholders and technology teams to ensure models meet strategic and operational needs.
* Support the design and delivery of data solutions

Sector Context: Specialty insurance refers to non-standard, complex or bespoke insurance products, covering areas such as marine, aviation, cyber, or political risk. Data in this domain is typically detailed and varied, with specific underwriting and regulatory requirements. Effective data modelling here means structuring complex policy terms, multi-party exposures, and claims information in a clear, usable way.

Key Requirements:
* Proven experience in data modelling across conceptual, logical, and physical layers.
* Familiarity with specialty insurance or other complex insurance domains.
* Strong Snowflake experience.
* Very clear and confident communication skills-must be able to work directly with senior stakeholders and explain models and requirements effectively.
* Must be ready to start as soon as possible

Location:
* London client site, 2 days per week onsite.

Edinburgh HQ (One day P/W Remote)

Must hold transferable security clearance (UKEO regulations apply)

Up to £50 p/h Inside IR35

A leading Defence prime client in Edinburgh are looking to onboard a security cleared Data Engineer on a contract basis. The successful candidate will be based predominately onsite with some remote working offered.

Key skills

• Experience designing, building, and supporting scalable data solutions, including data pipelines and analytical platforms.
• Working knowledge of modern data operations practices, such as automation, version control, and deployment workflows.
• Familiarity with data integration approaches and large-scale data processing concepts.
• Proficiency in one or more programming or query languages commonly used in data-focused roles.
• Practical experience working with both relational and non-relational databases.
• Educational background in a technical or analytical discipline, or equivalent professional experience.
• Relevant industry certifications or advanced training are considered beneficial.

Key responsibilities

• Build, deploy, and support data pipelines and infrastructure
• Automate the ingestion, processing, and storage of data
• Support both batch and Real Time data processing
• Work with teams to understand data needs and objectives
• Prepare data for analytics, reporting, and modelling
• Ensure data quality, reliability, and governance standards
• Collaborate with data, IT, and architecture teams on shared initiative

Job Title: Lead Data Architect
Location: Farnborough
Duration: 6 months with possible extension
Rate: Up to 700 per day via an approved umbrella company
Must be willing and eligible to go through the SC clearance process

Our client, a reputable organisation in the IT sector, is seeking a skilled Lead Data Architect to join their Data Science, Engineering, and Assurance team. This senior role offers the opportunity to take ownership of data architecture, develop and evolve data migration strategies, and lead the deployment into secure customer environments. You will set the technical direction, make pragmatic architectural decisions, and provide hands-on leadership to a team of Data Engineers and Data Analysts, ensuring the platform remains secure, scalable, resilient, and operational as it grows.

What you’ll be doing:
Own and refine the data architecture, establishing standards, governance, and roadmaps.
Map and document data flows, identifying data locations, movement, and ensuring compliance with security and governance standards.
Design and maintain data structures, storage, and access methods aligned with user needs and technical requirements.
Lead the development of data migration plans and oversee their deployment.
Collaborate with security and assurance teams to support accreditation in regulated environments.
Provide technical guidance and mentorship to engineering teams, ensuring designs are buildable, testable, and supportable.
Stay close to engineering activities to ensure architecture remains fit for purpose.

What you’ll bring:
Extensive experience in data architecture and platform engineering, with a proven track record of owning and evolving complex data environments.
Strong expertise in data modelling, event-driven microservice architecture, and data platform patterns (batch, streaming, lakehouse/warehouse).
Deep knowledge of data governance, metadata, lineage, data quality, and lifecycle management.
Security-focused mindset, designing for least privilege, auditability, and compliance.
Experience working in constrained or mission-critical environments, including edge deployments.
Ability to lead multidisciplinary teams, providing clear technical direction and mentorship.
Excellent communication skills, capable of explaining complex concepts to senior stakeholders.

Qualifications:
Relevant professional certifications and licences are desirable.
A strong background in regulated environments is advantageous.

Join our client’s team in Farnborough and play a pivotal role in shaping their data landscape. If you’re passionate about data architecture and leading innovative projects, we’d love to hear from you!

Role: Data Warehouse Architect

Contract: 6 week initial engagement

Location: Hybrid working - likely to be some travel to London required

Rate: 700pd- 750pd (outside IR35)

We are currently recruiting for a Data Warehouse Architect who can come in and provide a DWH assessment, you will be responsibile for assessing the DWH landscape and provide driection, deliverables and outcomes. This is due to be a 6-week engagement with the chance of it becoming a longer term piece of work.

Core Responsibilities

• Own logical and physical data warehouse architecture from ingestion to consumption
• Define target state architecture and roadmaps for enterprise data platforms
• Design modern data warehouse patterns using medallion architecture. Bronze silver gold
• Define canonical data models conformed dimensions and domain boundaries
• Set Master Data Management strategy including golden records matching and governance
• Define integration patterns for batch streaming and API based data movement
• Establish non functional requirements covering performance security scalability and cost

Microsoft Fabric and Platform Architecture

• Architect solutions on Microsoft Fabric at platform and solution level
• Define appropriate use of Lakehouse Warehouse OneLake and semantic models
• Set standards for data pipelines notebooks and orchestration patterns
• Define medallion layer responsibilities and data contracts between layers
• Govern Power BI semantic models Direct Lake usage and enterprise BI patterns
• Define security architecture using Entra ID RLS FLS and workspace separation

MDM and Data Governance

• Define enterprise MDM architecture and operating model
• Set standards for data domains ownership stewardship and controls
• Define data quality frameworks reference data management and issue management
• Ensure MDM integration into analytical and operational use cases

Business Intelligence and Analytics Enablement

• Define enterprise BI and semantic layer architecture
• Set standards for KPI metric definition and reuse across the organisation
• Enable advanced analytics and data science consumption from curated layers
• Ensure consistency usability and performance of analytical models

Key Data Warehouse Building Blocks

• Source system classification and data contracts
• Ingestion and landing architecture
• Standardisation validation and data quality layers
• Master and reference data integration
• Analytical and dimensional modelling approaches
• Semantic layer and BI consumption patterns
• Metadata lineage observability and monitoring

Architecture Leadership

• Act as architectural authority and design reviewer
• Produce architecture artefacts principles and standards
• Translate business strategy into scalable data architectures
• Work with engineers product owners and business leaders to govern delivery

The role will require travel to London and will be hybrid working, please consider this when applying for the role.

Due to the time-frames required for the engagement, you must be available to start a new role as soon as required.

If you are interested in the role and would like to apply, please click on the link to be considered.

Data / Migration / Lead / Manager / Bank / Banking / Building Society / Finance / Financial / FinTech / Core Banking / Transformation / Contract / Remote / Outside IR35 / START ASAP

Data Migration Lead
Contract: 12 Month Contract / Outside IR35
Rate: Competitive day rates
Location: UK - REMOTE

We are hiring for a major financial services transformation programme, seeking an experienced Data Migration Lead to take ownership of end to end data migration delivery across complex enterprise systems.

This is a senior, hands on contract role with responsibility for strategy, governance, and execution of large scale data migrations.
Responsibilities
• Lead the full data migration lifecycle including discovery, design, data mapping, rehearsals, cutover, and post migration support
• Own delivery of the Data Migration workstream across multiple projects and dependencies
• Manage data migration planning, execution, and governance including risks, issues, actions, assumptions, and dependencies
• Oversee data pipelines, reporting, data validation, reconciliation, and cutover sign off
• Act as the primary point of contact for all data migration activities
• Coordinate technical teams, SMEs, and senior stakeholders
• Ensure high quality, on time delivery aligned to programme objectives
Skills and Experience
• Proven experience as a Data Migration Lead or Data Migration Manager
• Strong hands on expertise in data migration, data mapping, transformation, and validation
• Extensive experience delivering migrations within banking or financial services
• Strong knowledge of data migration tools, methodologies, and best practices
• Experience with data governance, data quality frameworks, and reporting
• Excellent stakeholder management and communication skills
• Exposure to cloud hosted data platforms is desirable

Why Apply
• Outside IR35 day rate contract
• Predominantly remote working
• Long term programme with immediate start
• High impact leadership role within financial services

Apply using the links provided for consideration. Ideally this will suit candidates available to start a position within the next 6 weeks.

Job Title: Neo4j Developer / Graph Database Specialist

Location: Onsite - London or Edinburgh, UK

Job Type: Full-time

About the Role:

We are seeking an experienced Neo4j Developer with strong expertise in graph databases and hierarchical data modelling to join our dynamic team onsite in London or Edinburgh. The successful candidate will be responsible for designing, developing, and optimising graph database solutions to support complex data relationships and hierarchies in our business applications.

Key Responsibilities:

• Design, develop, and maintain graph database solutions using Neo4j to model complex hierarchical and relational data.
• Collaborate with data architects and business analysts to translate business requirements into graph models.
• Develop Cypher queries and procedures for data retrieval, manipulation, and analysis.
• Optimise query performance and database schema to ensure scalability and efficiency.
• Integrate Neo4j with existing applications and data sources.
• Troubleshoot and resolve issues related to graph data storage and retrieval.
• Document designs, processes, and solutions clearly for technical and non-technical stakeholders.
• Stay current with graph database trends and best practices to continuously enhance system capabilities.

Required Skills and Experience:

• Proven experience (4+ years) working with Neo4j and Cypher query language.
• Strong understanding of graph theory, graph data structures, and hierarchical data modelling.
• Ability to design and implement efficient and scalable graph database schemas.
• Experience in integrating Neo4j with other data platforms or applications.
• Knowledge of software development best practices, including version control, testing, and deployment.
• Proficiency in relevant programming languages (e.g., Java, Python, or JavaScript).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team.

Preferred Qualifications:

• Experience with other graph technologies or databases.
• Familiarity with cloud platforms (AWS, Azure) hosting Neo4j solutions.
• Experience working in agile development environments.
• Relevant certifications in Neo4j or graph database technologies.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Central London Council
Contract: Interim / Contract
Rate: 450 per day
Contract Length: 3+ months (ongoing)
Working Arrangement: Agile & flexible working

The Opportunity

Council is seeking an experienced Data Quality & Systems Manager to lead data governance, system optimisation, and data quality assurance across the Housing Directorate.

The Directorate manages over 21,000 homes, and this role is critical in ensuring that both strategic and operational decisions are driven by accurate, secure, and high-quality data. You will play a key leadership role in shaping asset data strategy, improving system integration, and embedding a strong data-led culture across Housing.

Key Responsibilities

• Lead the Data Quality & Systems function, embedding high standards of data quality and governance across the Housing Directorate
• Develop and implement a pan-directorate Asset Data Strategy to support investment planning and statutory responsibilities
• Oversee systems architecture, ensuring effective integration between housing asset systems, finance systems, and operational platforms
• Establish and enforce data governance frameworks, quality assurance processes, and regulatory compliance, including GDPR
• Provide accurate data, analysis, and insight to support the HRA Business Plan, Asset Management Strategy, and business case development
• Lead procurement, contract management, and supplier relationships for systems and related services
• Produce high-quality reports, documentation, and insights for senior stakeholders
• Support system and digital improvements, including BIM, AutoCAD, and wider digital infrastructure, to strengthen asset data accuracy
• Promote a culture of continuous improvement, learning, and collaborative working

Experience Required

• Proven experience maintaining databases, managing systems, and delivering associated contracts
• Experience within housing, property, or asset-focused environments
• Demonstrable team leadership experience, with evidence of delivering measurable improvements
• Strong stakeholder engagement skills across multiple departments
• Knowledge of asset management systems, maintenance planning, and compliance requirements
• Good understanding of GDPR, data governance frameworks, and ICT security principles

Team Structure

Reporting to the Head of Asset Strategy, you will lead a team comprising:

• Data Quality & Systems Officer
• Data Quality & Systems Business Analyst
• Data Quality & Systems Administrator

6 Months

Reading - 4 days on site

828 per day

DV Cleared / clearable - preferably starting with at least SC

• Data Migration Lead for Greenfield project, legacy to SAP S/4HANA using Data Services & Migration Cockpit, must have previous experience and deep understanding of the data migration life cycle and full project lifecycle.
• Responsibilities include managing a development team, planning, defect resolution, ability to communicate about data and SAP to all levels of understanding. Experience running data workshops, preparing and reviewing technical documentation, analysing source datasets.
• Whilst the role is a lead and not a developer, they must be able to mentor the team and suggest solutions based on development experience, plus help out if needed.
• Work closely with SAP functional teams and business data stewards advising them on data cleansing and data analysis issues.

Working on site at least 4 days a week is non negotiable.

Contract Data Modeller (Finance & HR)
Watford (Hybrid - 2-3 days onsite)
550- 600 per day - Outside IR35
3-month contract

A global organisation based in Watford is looking for an experienced Contract Data Modeller to deliver foundational Finance and HR data models.

This is a pure data modelling role - focused on structure, consistency, and correctness of enterprise data (no reporting or analytics delivery).

Key Responsibilities

• Design and own global canonical data models for Finance and HR
• Integrate data from multiple source systems (ERP, HRIS, payroll, planning tools)
• Define conformed dimensions, facts, hierarchies, and reference data
• Resolve data inconsistencies across regions and legacy systems
• Work closely with Finance and HR stakeholders to validate definitions
• Produce clear, long-term data model documentation

Required Experience

• Strong background as a Data Modeller in enterprise environments
• Deep Finance data modelling experience (GL, cost centres, entities, actuals, budgets, forecasts)
• Solid HR data modelling exposure (employee, organisation, payroll, rewards)
• Experience with global, multi-source data landscapes
• Strong stakeholder communication skills

Hybrid working (2-3 days onsite), plenty of parking, competitive rate, and outside IR35.

If this interests you, please apply immediately and call Andy Weir at Cathcart Technology.

Cathcart Technology is acting as an Employment Business in relation to this vacancy.

12 months

Hybrid - Croydon x1 day onsite x4 remote

(Apply online only) per day inside IR35 - Umbrella only

Active SC clearance required

Key skills:

• Proven experience as a Data Architect or Senior Data Engineer / Data Modeller.
• Strong expertise in data modelling (conceptual, logical, and physical).
• Experience designing data warehouses and data lake architectures.
• Strong SQL skills and understanding of relational and NoSQL databases.
• Experience with cloud data platforms (AWS, Azure, and/or GCP).
• Knowledge of data integration, ETL/ELT, and streaming architectures.
• Solid understanding of data governance, metadata, and master data concepts.
• Strong communication skills with both technical and non-technical stakeholders

Nice to have:

• Experience with modern analytics and BI platforms.
• Knowledge of big data technologies (e.g. Spark, Hadoop).
• Experience with real-time or event-driven data architectures.
• Familiarity with data cataloguing and lineage tools.
• Experience in regulated or data-sensitive environments.
• Architecture or data certifications (e.g. TOGAF, cloud data certifications)

24 months until December 2027

Hybrid occasional travel to Reading

Rate TBD

Role Requirements:

• Subject to clearance requirements
• Experience: Proven track record as a Data Architect in complex, multinational environments.
• Technical Expertise: Strong knowledge of Azure services (Data Lake, Data Factory, Synapse) and familiarity with emerging cloud technologies.
• Security Awareness: Ability to design architectures with strict security boundaries, protective markings, export-control constraints, and multi-tenant segregation.
• Collaboration: Comfortable working in greenfield projects and multinational defence contexts with varying data access classifications.

Key Responsibilities:

• Define and implement end-to-end data architecture across multiple business areas.
• Ensure architectural consistency across nations and business domains in collaboration with the Data Architect Manager.
• Evaluate and adopt new technologies to support secure multinational collaboration.
• Design and maintain distributed data environments and modern data warehousing patterns.
• Implement solutions that comply with security, regulatory, and export-control requirements.
• Extensive experience in Data standards
• ISO 10303 experience
• Experience in working with engineering data integration

Desirable Skills:

• Hands-on experience with tools such as Databricks and Hadoop, and distributed data platforms.
• Knowledge of modern data warehousing and big data processing frameworks.
• Ability to work with Azure-based ecosystems and integrate emerging services.
• Strong understanding of data governance in highly regulated environments.
• Excellent communication and stakeholder management skills.
• ERP
• PLM
• Manufacturing

Senior Business Analyst - Metadata Lead

24 months until December 2027

Hybrid occasional travel to Reading

Rate - £TBD

Role Requirements:

• Proven experience in metadata management and data governance within highly regulated environments.
• Strong understanding of GDPR, PII, export controls, and protective markings.
• Ability to work within Azure-based ecosystems and integrate emerging services.
• Excellent communication and stakeholder management skills.

Key Responsibilities:

• Acts as a business analyst with deep data governance and metadata expertise.
• Lead the design of the programme-wide metadata schema that must scale across all nations.
• Engage with business users, legal teams, and security/export-control specialists to understand how data is classified and what restrictions apply.
• Capture existing metadata requirements from stakeholders and harmonise them into a single structured model.
• Consider and design for GDPR, PII, UK and international government protective markings, export control rules, and the EU AI Act.
• Define controlled vocabularies, taxonomies, and metadata categories needed for compliant data sharing.
• Work closely with Data Custodians and Data Governance Deputy to ensure metadata and policy frameworks align.

Desirable Skills:

• Experience with metadata management tools (e.g., Collibra, Informatica, Alation).
• Knowledge of data modeling and enterprise architecture principles.
• Familiarity with cloud platforms (Azure, AWS, GCP) for metadata integration.

Data Governance Custodian

24 months until December 2027

Hybrid occasional travel to Reading

Rate TBD

Role Requirements:

• Experience: Background in data governance, data management, or related disciplines.
• Knowledge: Familiarity with governance frameworks, metadata management, and compliance requirements.
• Technical Awareness: Understanding of governance tooling (e.g., Microsoft Purview or similar).
• Collaboration: Ability to work with multiple stakeholders across nations and business areas.

Key Responsibilities:

• Work under the Data Governance Manager to define foundational governance for a greenfield data environment.
• Define and maintain data dictionaries, glossary terms, standards, naming conventions, and metadata structures.
• Implement governance tooling once selected (e.g., Purview or equivalent).
• Engage with business areas and national representatives to understand data usage, classification, and control.
• Contribute to drafting governance policies and procedures aligned with security classifications and compliance requirements.
• Support early-stage activities such as data auditing, monitoring approaches, and documenting lineage/ownership models.
• Act as a bridge between business users and future architecture during framework creation.

Desirable Skills:

• Experience with data governance tools (Purview, Collibra, Informatica, etc.).
• Knowledge of metadata management, data lineage, and data quality frameworks.
• Strong understanding of security classifications, export-controlconstraints, and compliance in regulated environments.
• Excellent stakeholder engagement and communication skills.
• Ability to work in greenfield, multinational defence contexts.