Agile Delivery Manager - Broadcast Media Sector (must have broadcast media content supply chain experience) Location: London/UK (Hybrid Flexible approx. 1-3dpw on site) Type: Contract 6 months initially- Outside IR35 - Approx 450pd Availability - ASAP or within 2 weeks notice Agile Delivery Manager required to work with one of the UK's most dynamic broadcast media technology environments. We're looking for an Agile Delivery Manager with proven experience in the broadcast and media sector, specifically across content supply chain technology and operations. Approx 5+ years within the UK broadcast media and entertainment industry and a minimum of 3 years experience working in similar Agile Delivery Manager positions (including Scrum/Scrum Master experience, ScrumMaster CSM ideal). Looking for experience delivering large, multi-year media technology projects/programmes. You should be comfortable matrix managing distributed teams of 10+ such as software development/engineering, business analysts, solution architects, data analysts etc as well as senior Stakeholder client engagement (up to CTO). About the Role As an Agile Delivery Manager, you'll lead the successful delivery of complex, scalable media technology projects - ensuring our clients' content and media supply chain workflows operate seamlessly. You'll champion agile principles, coach cross-functional teams, and remove barriers to ensure delivery excellence from concept to deployment. You'll work closely with our key clients and internal stakeholders, providing oversight and guidance throughout delivery while maintaining strong client relationships. Primary focus will be driving delivery performance, continuous improvement, and alignment with strategic objectives. Key Responsibilities Lead 2 Agile delivery teams (integrated client and internal) across the media supply chain, ensuring outcomes are delivered effectively and on time. Drive Agile practices (Scrum - this is key, Kanban, Lean) to enable adaptive, transparent, and results-driven delivery - running regular standups, sprint meetings, refinement sessions etc. Collaborate with product owners, architects, and engineering teams to maintain clear delivery roadmaps and priorities. Manage project governance, timelines, budgets, and reporting for key broadcast and media technology initiatives. Build trust-based relationships with all stakeholders, providing strategic delivery insight and proactive communication Account Management - Oversee account performance: monitor service levels, identify improvements, and ensure client satisfaction. Leverage tools like Jira to help teams plan, coordinate and optimise flow. Help expand the client account. About You Credible within large Broadcast Media company - strong knowledge and experience of the broadcast and media sector, including end to end media operations and content supply chains (e.g. ingest, media asset management, content distribution, metadata workflows) - Minimum 5 years, ideally 10 years, within the UK broadcast media Proven experience within a similar Agile Delivery Management role/ or Agile Project Manager role: leading end-to-end agile programmes/projects, within media enterprise-level technology environments. Experienced in Agile processes including Scrum/Kanban ideally qualified- Well-versed in building trust and coaching teams toward self-management and cross-functional behaviours. Strong stakeholder management and client engagement skills. Ability to bridge the gap between technology teams and operational stakeholders in fast-paced, media-rich settings. Excellent communication, leadership, and coaching abilities. Account Management skills - able to be the face of the supplier with the client providing service management, ensuring high level of satisfaction, Client communication, proactively dealing with risks and issues Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.
Jul 24, 2026
Contractor
Agile Delivery Manager - Broadcast Media Sector (must have broadcast media content supply chain experience) Location: London/UK (Hybrid Flexible approx. 1-3dpw on site) Type: Contract 6 months initially- Outside IR35 - Approx 450pd Availability - ASAP or within 2 weeks notice Agile Delivery Manager required to work with one of the UK's most dynamic broadcast media technology environments. We're looking for an Agile Delivery Manager with proven experience in the broadcast and media sector, specifically across content supply chain technology and operations. Approx 5+ years within the UK broadcast media and entertainment industry and a minimum of 3 years experience working in similar Agile Delivery Manager positions (including Scrum/Scrum Master experience, ScrumMaster CSM ideal). Looking for experience delivering large, multi-year media technology projects/programmes. You should be comfortable matrix managing distributed teams of 10+ such as software development/engineering, business analysts, solution architects, data analysts etc as well as senior Stakeholder client engagement (up to CTO). About the Role As an Agile Delivery Manager, you'll lead the successful delivery of complex, scalable media technology projects - ensuring our clients' content and media supply chain workflows operate seamlessly. You'll champion agile principles, coach cross-functional teams, and remove barriers to ensure delivery excellence from concept to deployment. You'll work closely with our key clients and internal stakeholders, providing oversight and guidance throughout delivery while maintaining strong client relationships. Primary focus will be driving delivery performance, continuous improvement, and alignment with strategic objectives. Key Responsibilities Lead 2 Agile delivery teams (integrated client and internal) across the media supply chain, ensuring outcomes are delivered effectively and on time. Drive Agile practices (Scrum - this is key, Kanban, Lean) to enable adaptive, transparent, and results-driven delivery - running regular standups, sprint meetings, refinement sessions etc. Collaborate with product owners, architects, and engineering teams to maintain clear delivery roadmaps and priorities. Manage project governance, timelines, budgets, and reporting for key broadcast and media technology initiatives. Build trust-based relationships with all stakeholders, providing strategic delivery insight and proactive communication Account Management - Oversee account performance: monitor service levels, identify improvements, and ensure client satisfaction. Leverage tools like Jira to help teams plan, coordinate and optimise flow. Help expand the client account. About You Credible within large Broadcast Media company - strong knowledge and experience of the broadcast and media sector, including end to end media operations and content supply chains (e.g. ingest, media asset management, content distribution, metadata workflows) - Minimum 5 years, ideally 10 years, within the UK broadcast media Proven experience within a similar Agile Delivery Management role/ or Agile Project Manager role: leading end-to-end agile programmes/projects, within media enterprise-level technology environments. Experienced in Agile processes including Scrum/Kanban ideally qualified- Well-versed in building trust and coaching teams toward self-management and cross-functional behaviours. Strong stakeholder management and client engagement skills. Ability to bridge the gap between technology teams and operational stakeholders in fast-paced, media-rich settings. Excellent communication, leadership, and coaching abilities. Account Management skills - able to be the face of the supplier with the client providing service management, ensuring high level of satisfaction, Client communication, proactively dealing with risks and issues Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Jul 24, 2026
Full time
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Data Quality Analyst Location: Poole Salary - £35,000-£50,000 Talent Guardian is delighted to be partnering with a fast-growing, international ecommerce business to appoint a Data Quality Analyst on a contract basis. Following rapid expansion, our client is investing in a portfolio of transformation initiatives to raise the maturity of its data, systems and processes and data quality sits right at the heart of that work. Put simply, without clean, consistent and well-defined data, system implementations stall, reporting becomes unreliable and business decisions rest on shaky foundations. This role exists to put that right. If you enjoy rolling up your sleeves on data cleansing, migration and validation, and you'd relish playing a pivotal part in a business-critical transformation programme, we'd love to hear from you. What you'll be doing Working within the Transformation Programme and reporting to the Transformation Project Manager, you'll ensure data is accurate, consistent and ready for use across systems and processes. Your remit will span: Data quality & cleansing Cleanse, standardise and prepare data for system implementations, migrations and integrations. Validate the consistency and accuracy of data across systems and datasets. Monitor data quality metrics, controls and thresholds, and investigate and help resolve anomalies, discrepancies and defects. Maintain metadata, data dictionaries, mapping documentation and data quality records, and support the development of data quality standards and best practice. Migration & integration Perform field mapping between source and target systems in line with agreed business definitions and standards. Execute and validate data migration activities to ensure completeness, accuracy and integrity. Recommend improvements to data quality processes, controls and governance. Testing & UAT Carry out system testing relating to data migration, integrations and business process changes. Validate business rules, calculations and transformation logic. Support User Acceptance Testing, including test data preparation, validation and issue resolution. Support reporting and analytics by ensuring data accuracy and consistency, and maintain clear documentation of mappings, validation results, testing activities and issue logs. What we're looking for Essential Experience in data quality, data analysis, data migration, business systems or a related role. A strong understanding of data cleansing, validation, reconciliation and quality management techniques. Experience supporting system implementations or transformation projects. Experience performing system testing and supporting UAT activities. Strong analytical and problem-solving skills, with excellent attention to detail. Confident working with spreadsheets, databases and reporting tools. Strong communication and stakeholder engagement skills. Desirable Experience with ERP, CRM, HRIS, Finance or other enterprise systems. Knowledge of data governance, master data management or metadata management. Experience using SQL, Power BI, Tableau or similar analytical tools. Prior experience in ecommerce, retail or high-growth consumer businesses. Working arrangements This is a full-time, on-site role based at our client's office in Poole, Dorset. You'll sit within the Transformation Programme, working closely with the Technology function and alongside the Product Owner / Business Analyst and delivery partners. How to apply To apply, or for a confidential conversation about the role, please get in touch with the team at Talent Guardian. We look forward to hearing from you.
Jul 23, 2026
Contractor
Data Quality Analyst Location: Poole Salary - £35,000-£50,000 Talent Guardian is delighted to be partnering with a fast-growing, international ecommerce business to appoint a Data Quality Analyst on a contract basis. Following rapid expansion, our client is investing in a portfolio of transformation initiatives to raise the maturity of its data, systems and processes and data quality sits right at the heart of that work. Put simply, without clean, consistent and well-defined data, system implementations stall, reporting becomes unreliable and business decisions rest on shaky foundations. This role exists to put that right. If you enjoy rolling up your sleeves on data cleansing, migration and validation, and you'd relish playing a pivotal part in a business-critical transformation programme, we'd love to hear from you. What you'll be doing Working within the Transformation Programme and reporting to the Transformation Project Manager, you'll ensure data is accurate, consistent and ready for use across systems and processes. Your remit will span: Data quality & cleansing Cleanse, standardise and prepare data for system implementations, migrations and integrations. Validate the consistency and accuracy of data across systems and datasets. Monitor data quality metrics, controls and thresholds, and investigate and help resolve anomalies, discrepancies and defects. Maintain metadata, data dictionaries, mapping documentation and data quality records, and support the development of data quality standards and best practice. Migration & integration Perform field mapping between source and target systems in line with agreed business definitions and standards. Execute and validate data migration activities to ensure completeness, accuracy and integrity. Recommend improvements to data quality processes, controls and governance. Testing & UAT Carry out system testing relating to data migration, integrations and business process changes. Validate business rules, calculations and transformation logic. Support User Acceptance Testing, including test data preparation, validation and issue resolution. Support reporting and analytics by ensuring data accuracy and consistency, and maintain clear documentation of mappings, validation results, testing activities and issue logs. What we're looking for Essential Experience in data quality, data analysis, data migration, business systems or a related role. A strong understanding of data cleansing, validation, reconciliation and quality management techniques. Experience supporting system implementations or transformation projects. Experience performing system testing and supporting UAT activities. Strong analytical and problem-solving skills, with excellent attention to detail. Confident working with spreadsheets, databases and reporting tools. Strong communication and stakeholder engagement skills. Desirable Experience with ERP, CRM, HRIS, Finance or other enterprise systems. Knowledge of data governance, master data management or metadata management. Experience using SQL, Power BI, Tableau or similar analytical tools. Prior experience in ecommerce, retail or high-growth consumer businesses. Working arrangements This is a full-time, on-site role based at our client's office in Poole, Dorset. You'll sit within the Transformation Programme, working closely with the Technology function and alongside the Product Owner / Business Analyst and delivery partners. How to apply To apply, or for a confidential conversation about the role, please get in touch with the team at Talent Guardian. We look forward to hearing from you.
CBSbutler Holdings Limited trading as CBSbutler
Corsham, Wiltshire
Data Engineer - Data Catalogue Migration Contract 400 - 525 per day insideIR35 Hybrid (Corsham 1-2 days per week) 3-Month Rolling Contract A leading organisation delivering a major data transformation programme is seeking an experienced Data Engineer to support the migration of enterprise data catalogue capabilities as part of a large-scale digital and data modernisation initiative. This is an exciting opportunity to play a key role in assessing, transforming and migrating metadata into a modern data catalogue environment, helping to improve data governance, accessibility and operational efficiency across a complex enterprise landscape. Working as part of a multidisciplinary delivery team, you will assess the current data catalogue estate, evaluate migration feasibility and help define the most effective approach for migrating metadata, governance artefacts and technical assets into a new catalogue platform. You will work closely with Data Architects, Business Analysts and technical stakeholders to analyse existing metadata, identify transformation requirements and ensure the migration is delivered with minimal risk and maximum data quality. Responsibilities: Assess existing data catalogue content, metadata and connected data sources Evaluate metadata quality, completeness and migration suitability Define mapping specifications, transformation rules and data enrichment requirements Identify migration risks, dependencies and recommendations Support backlog refinement and prioritisation of catalogue onboarding activities Design and develop ETL/ELT processes to support data ingestion and transformation Collaborate with architects and business stakeholders to deliver robust technical solutions Produce high-quality technical documentation throughout the programme Skills & Experience Skills and Experience: - Data Engineering within enterprise data transformation programmes - Data catalogue platforms such as Informatica or similar technologies - ETL/ELT development and data integration - SQL and Python - Data modelling and metadata management - Data governance and catalogue best practices - API integration and working with structured and semi-structured data Defence / MOD would be highly desirable. If you are an experienced Data Engineer with a strong background in metadata, data governance and enterprise data migration, please apply. CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.
Jul 23, 2026
Contractor
Data Engineer - Data Catalogue Migration Contract 400 - 525 per day insideIR35 Hybrid (Corsham 1-2 days per week) 3-Month Rolling Contract A leading organisation delivering a major data transformation programme is seeking an experienced Data Engineer to support the migration of enterprise data catalogue capabilities as part of a large-scale digital and data modernisation initiative. This is an exciting opportunity to play a key role in assessing, transforming and migrating metadata into a modern data catalogue environment, helping to improve data governance, accessibility and operational efficiency across a complex enterprise landscape. Working as part of a multidisciplinary delivery team, you will assess the current data catalogue estate, evaluate migration feasibility and help define the most effective approach for migrating metadata, governance artefacts and technical assets into a new catalogue platform. You will work closely with Data Architects, Business Analysts and technical stakeholders to analyse existing metadata, identify transformation requirements and ensure the migration is delivered with minimal risk and maximum data quality. Responsibilities: Assess existing data catalogue content, metadata and connected data sources Evaluate metadata quality, completeness and migration suitability Define mapping specifications, transformation rules and data enrichment requirements Identify migration risks, dependencies and recommendations Support backlog refinement and prioritisation of catalogue onboarding activities Design and develop ETL/ELT processes to support data ingestion and transformation Collaborate with architects and business stakeholders to deliver robust technical solutions Produce high-quality technical documentation throughout the programme Skills & Experience Skills and Experience: - Data Engineering within enterprise data transformation programmes - Data catalogue platforms such as Informatica or similar technologies - ETL/ELT development and data integration - SQL and Python - Data modelling and metadata management - Data governance and catalogue best practices - API integration and working with structured and semi-structured data Defence / MOD would be highly desirable. If you are an experienced Data Engineer with a strong background in metadata, data governance and enterprise data migration, please apply. CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.
CBSbutler Holdings Limited trading as CBSbutler
Corsham, Wiltshire
Data Engineer Corsham/hybrid (1 - 2 days per week on site) 550 per day inside ir35 SC security clearance is required for this role Help shape one of the UK's most important Defence data transformation programmes. We're looking for an experienced Data Engineer to play a key role on a high-profile MOD programme focused on modernising enterprise data catalogue capabilities. You'll be responsible for assessing, transforming and enabling the migration of metadata from legacy platforms into a modern data catalogue, ensuring critical defence data is discoverable, trusted and fit for future exploitation. This is an opportunity to work on a complex national programme where your work will directly influence migration strategy, data governance and long-term platform capability. Responsibilities Assessing existing data catalogue content, metadata and governance artefacts Evaluating migration feasibility from legacy catalogue platforms Designing metadata mappings, transformation rules and migration approaches Building and optimising ETL/ELT pipelines Integrating data from multiple source systems and APIs Working closely with Business Analysts, Data Architects and technical teams to deliver migration outcomes Producing technical documentation, migration assessments and risk analysis Supporting backlog prioritisation and catalogue onboarding activities Experience Proven experience as a Data Engineer within large-scale data transformation or migration programmes Strong experience with data catalogue platforms, particularly Informatica Excellent ETL/ELT development experience Strong SQL and Python skills Experience with metadata management, data governance and data modelling Experience integrating APIs and multiple data sources Ability to assess data quality and define migration strategies Desirable experience Defence or Central Government programmes Microsoft Fabric, Palantir or Snowflake CI/CD and DevOps practices MODNet PUID If you are interested in this role, please submit your CV
Jul 23, 2026
Contractor
Data Engineer Corsham/hybrid (1 - 2 days per week on site) 550 per day inside ir35 SC security clearance is required for this role Help shape one of the UK's most important Defence data transformation programmes. We're looking for an experienced Data Engineer to play a key role on a high-profile MOD programme focused on modernising enterprise data catalogue capabilities. You'll be responsible for assessing, transforming and enabling the migration of metadata from legacy platforms into a modern data catalogue, ensuring critical defence data is discoverable, trusted and fit for future exploitation. This is an opportunity to work on a complex national programme where your work will directly influence migration strategy, data governance and long-term platform capability. Responsibilities Assessing existing data catalogue content, metadata and governance artefacts Evaluating migration feasibility from legacy catalogue platforms Designing metadata mappings, transformation rules and migration approaches Building and optimising ETL/ELT pipelines Integrating data from multiple source systems and APIs Working closely with Business Analysts, Data Architects and technical teams to deliver migration outcomes Producing technical documentation, migration assessments and risk analysis Supporting backlog prioritisation and catalogue onboarding activities Experience Proven experience as a Data Engineer within large-scale data transformation or migration programmes Strong experience with data catalogue platforms, particularly Informatica Excellent ETL/ELT development experience Strong SQL and Python skills Experience with metadata management, data governance and data modelling Experience integrating APIs and multiple data sources Ability to assess data quality and define migration strategies Desirable experience Defence or Central Government programmes Microsoft Fabric, Palantir or Snowflake CI/CD and DevOps practices MODNet PUID If you are interested in this role, please submit your CV
Job Title: Data Governance Analyst - MetadataTarget Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Up to 60k Eastleigh, Hybrid working with travel to Ageas offices when required. (2 days a month) Data Governance Analy st - Metadata : At Ageas, we are continuing to build a strong data-driven culture, and we are looking for a Data Governance Analyst - Metadata to join our growing Data Governance team. This role sits within our metadata pillar, where you will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. This is a fantastic opportunity to work with leading tools such as Collibra and Databricks Unity Catalog, developing strategic data capability that directly contributes to business decision-making and data and AI enablement. Operating in a dynamic and fast-paced environment, you will play a hands-on role in supporting delivery, coaching stakeholders, and helping translate data governance solutions into clear business value-while developing your expertise in a highly visible and evolving team. This is a rare opportunity to join a growing team during a period of large-scale business transformation and innovation, offering strong development and progression while shaping how data and AI is governed and valued across Ageas. Main Responsibilities as Data Governance Analyst - Metadata: Support the successful planning and delivery of the metadata roadmap, whilst taking on and owning deliveries within it. Develop new capabilities within Collibra and Unity Catalog to enhance the maturity of data governance tools, with a focused objective on helping to maximise tooling capability and value for the organisation. Work with Data Owners and Stewards to enable data delivery and quality governance outcomes through new and enhanced tooling capability. Promote metadata tooling value by demonstrating features and capabilities to Data Owners and Data Stewards. Identify improvements and process automation capabilities in data processes through development and application of metadata tooling. Coach business stakeholders on the importance and value of business context in metadata management, whilst connecting business context to technical metadata management processes and platforms Skills and experience you need as Data Governance Analyst - Metadata: Data Governance Knowledge: Strong understanding of data governance best practice and purpose and value of metadata management. DAMA qualification desirable. 2 years' experience in a data governance role within the Financial Sector. Tooling Experience: Hands-on experience with Collibra or similar tooling (Informatica, Atacama, Alation etc) and an awareness of Databricks Unity Catalogue. Business Communication: Ability to explain technical concepts in simple, value-led terms that are easily understood by non-technical stakeholders. Adaptability: Thrives in changing environments and evolving requirements. Growth Mindset: Ambitious, eager to learn, and build technical expertise and skill in data and AI governance. Take an active interest in data and AI technological advancements and be passionate about developing new and automated data and AI governance processes and techniques that compliment AI enabled analytics. 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- 50% off esure and Sheilas' Wheels motor and home insurance, 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 People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jul 22, 2026
Full time
Job Title: Data Governance Analyst - MetadataTarget Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Up to 60k Eastleigh, Hybrid working with travel to Ageas offices when required. (2 days a month) Data Governance Analy st - Metadata : At Ageas, we are continuing to build a strong data-driven culture, and we are looking for a Data Governance Analyst - Metadata to join our growing Data Governance team. This role sits within our metadata pillar, where you will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. This is a fantastic opportunity to work with leading tools such as Collibra and Databricks Unity Catalog, developing strategic data capability that directly contributes to business decision-making and data and AI enablement. Operating in a dynamic and fast-paced environment, you will play a hands-on role in supporting delivery, coaching stakeholders, and helping translate data governance solutions into clear business value-while developing your expertise in a highly visible and evolving team. This is a rare opportunity to join a growing team during a period of large-scale business transformation and innovation, offering strong development and progression while shaping how data and AI is governed and valued across Ageas. Main Responsibilities as Data Governance Analyst - Metadata: Support the successful planning and delivery of the metadata roadmap, whilst taking on and owning deliveries within it. Develop new capabilities within Collibra and Unity Catalog to enhance the maturity of data governance tools, with a focused objective on helping to maximise tooling capability and value for the organisation. Work with Data Owners and Stewards to enable data delivery and quality governance outcomes through new and enhanced tooling capability. Promote metadata tooling value by demonstrating features and capabilities to Data Owners and Data Stewards. Identify improvements and process automation capabilities in data processes through development and application of metadata tooling. Coach business stakeholders on the importance and value of business context in metadata management, whilst connecting business context to technical metadata management processes and platforms Skills and experience you need as Data Governance Analyst - Metadata: Data Governance Knowledge: Strong understanding of data governance best practice and purpose and value of metadata management. DAMA qualification desirable. 2 years' experience in a data governance role within the Financial Sector. Tooling Experience: Hands-on experience with Collibra or similar tooling (Informatica, Atacama, Alation etc) and an awareness of Databricks Unity Catalogue. Business Communication: Ability to explain technical concepts in simple, value-led terms that are easily understood by non-technical stakeholders. Adaptability: Thrives in changing environments and evolving requirements. Growth Mindset: Ambitious, eager to learn, and build technical expertise and skill in data and AI governance. Take an active interest in data and AI technological advancements and be passionate about developing new and automated data and AI governance processes and techniques that compliment AI enabled analytics. 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- 50% off esure and Sheilas' Wheels motor and home insurance, 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 People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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hackajob is collaborating with BAE Critical Skills to connect them with exceptional professionals for this role. Job Title: Data Engineer Job Location: Preston - Hybrid- 1 day a week onsite. We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £55,000 depending on skills and experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. Role Description: As a Data Engineer you will design, build, and maintain high quality data pipelines, integrations, and data platform components that underpin data products across the organization using ETL with SQL Server, SSIS and Alteryx amongst other technologies. Operating within a product centric model, the role flexes across multiple capability areas-including Master Data Management (MDM), data archiving and lifecycle management, integration engineering, and specialist engineering domains to ensure data is reliable, accessible, secure, and value-generating. Data Engineers work within agile, cross-functional squads, collaborating closely with Product Owners, Data Architects, Analysts, and SMEs to deliver incremental value aligned to product outcomes. Core Duties: Core Data Engineering SQL Server Database Development Develop data models and curated layers to support data product use cases. Ensure data quality, reliability, and performance across pipelines and data models ETL Development using SSIS and Alteryx to connect operational systems, data for analytics and business intelligence (BI) systems Embed data quality rules, validation frameworks, observability, and automated monitoring Support continuous improvement and technical debt reduction activities Essential Skills: Knowledge of Git, version control, CI/CD, and data testing/validation technique Creating/modifying and optimising SQL Server database objects; writing complex, testable and efficient advanced SQL code Familiarity with ETL/ELT frameworks, orchestration tools, and data modelling practices Designing and implementing ETL pipelines using SSIS for data integration to ensure ETL processes performs optimally Troubleshooting; identifying and fixing pipeline bottlenecks and data issues Understanding of data governance, data quality, and best practices The Data Management team: Our Data Management team is an innovative, customer focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers and stakeholders, we turn business needs into high quality data products that enable insight and decision making. Collaboration, continuous improvement, and ownership are central to how we work, and you'll be supported to experiment, grow your skills, and make a real impact. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 8th May 26 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
Jul 21, 2026
Full time
hackajob is collaborating with BAE Critical Skills to connect them with exceptional professionals for this role. Job Title: Data Engineer Job Location: Preston - Hybrid- 1 day a week onsite. We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £55,000 depending on skills and experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. Role Description: As a Data Engineer you will design, build, and maintain high quality data pipelines, integrations, and data platform components that underpin data products across the organization using ETL with SQL Server, SSIS and Alteryx amongst other technologies. Operating within a product centric model, the role flexes across multiple capability areas-including Master Data Management (MDM), data archiving and lifecycle management, integration engineering, and specialist engineering domains to ensure data is reliable, accessible, secure, and value-generating. Data Engineers work within agile, cross-functional squads, collaborating closely with Product Owners, Data Architects, Analysts, and SMEs to deliver incremental value aligned to product outcomes. Core Duties: Core Data Engineering SQL Server Database Development Develop data models and curated layers to support data product use cases. Ensure data quality, reliability, and performance across pipelines and data models ETL Development using SSIS and Alteryx to connect operational systems, data for analytics and business intelligence (BI) systems Embed data quality rules, validation frameworks, observability, and automated monitoring Support continuous improvement and technical debt reduction activities Essential Skills: Knowledge of Git, version control, CI/CD, and data testing/validation technique Creating/modifying and optimising SQL Server database objects; writing complex, testable and efficient advanced SQL code Familiarity with ETL/ELT frameworks, orchestration tools, and data modelling practices Designing and implementing ETL pipelines using SSIS for data integration to ensure ETL processes performs optimally Troubleshooting; identifying and fixing pipeline bottlenecks and data issues Understanding of data governance, data quality, and best practices The Data Management team: Our Data Management team is an innovative, customer focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers and stakeholders, we turn business needs into high quality data products that enable insight and decision making. Collaboration, continuous improvement, and ownership are central to how we work, and you'll be supported to experiment, grow your skills, and make a real impact. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 8th May 26 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
Snowflake Data Architect Location: Wembley (Fully on-site) Salary: 100,000 + Permanent Benefits The Opportunity We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best practice across data engineering teams, and build scalable solutions that support analytics, automation, and emerging AI capabilities. The successful candidate will be responsible for establishing data modelling standards, designing robust integration architectures, driving platform optimisation, and ensuring the delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data quality. Architect cloud-based data pipelines leveraging Snowflake and modern orchestration technologies, ensuring reliability, scalability, and operational excellence. Establish security and access frameworks, including role-based access control, data masking, row-level security, and environment separation best practices. Lead initiatives to optimise platform performance and cost management, identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem. Promote a Data-as-Code culture, driving engineering standards, automation, governance, and CI/CD best practices. About You You will be a highly experienced Data Architect with a strong track record of modernising enterprise data environments and delivering scalable cloud-based solutions. Required Experience 10+ years' experience within Data Engineering, Data Architecture, or a related field. At least 4 years of hands-on Snowflake architecture and design experience. Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design. Strong knowledge of dbt and source control practices using GitHub. Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems. Strong understanding of data governance, security, CI/CD, and engineering best practices. Experience transforming legacy data environments into modern, automated cloud-based architectures. Desirable Experience with Kestra or other modern orchestration platforms. Exposure to AI, GenAI, vector search, embeddings, or semantic data architectures. Retail, wholesale, supply chain, or large enterprise data platform experience.
Jul 21, 2026
Full time
Snowflake Data Architect Location: Wembley (Fully on-site) Salary: 100,000 + Permanent Benefits The Opportunity We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best practice across data engineering teams, and build scalable solutions that support analytics, automation, and emerging AI capabilities. The successful candidate will be responsible for establishing data modelling standards, designing robust integration architectures, driving platform optimisation, and ensuring the delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data quality. Architect cloud-based data pipelines leveraging Snowflake and modern orchestration technologies, ensuring reliability, scalability, and operational excellence. Establish security and access frameworks, including role-based access control, data masking, row-level security, and environment separation best practices. Lead initiatives to optimise platform performance and cost management, identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem. Promote a Data-as-Code culture, driving engineering standards, automation, governance, and CI/CD best practices. About You You will be a highly experienced Data Architect with a strong track record of modernising enterprise data environments and delivering scalable cloud-based solutions. Required Experience 10+ years' experience within Data Engineering, Data Architecture, or a related field. At least 4 years of hands-on Snowflake architecture and design experience. Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design. Strong knowledge of dbt and source control practices using GitHub. Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems. Strong understanding of data governance, security, CI/CD, and engineering best practices. Experience transforming legacy data environments into modern, automated cloud-based architectures. Desirable Experience with Kestra or other modern orchestration platforms. Exposure to AI, GenAI, vector search, embeddings, or semantic data architectures. Retail, wholesale, supply chain, or large enterprise data platform experience.
Snowflake Data Architect Location: Wembley (Fully on-site) Salary: £100,000 + Permanent Benefits The Opportunity We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best practice across data engineering teams, and build scalable solutions that support analytics, automation, and emerging AI capabilities. The successful candidate will be responsible for establishing data modelling standards, designing robust integration architectures, driving platform optimisation, and ensuring the delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for Legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data quality. Architect cloud-based data pipelines leveraging Snowflake and modern orchestration technologies, ensuring reliability, scalability, and operational excellence. Establish security and access frameworks, including role-based access control, data masking, row-level security, and environment separation best practices. Lead initiatives to optimise platform performance and cost management, identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem. Promote a Data-as-Code culture, driving engineering standards, automation, governance, and CI/CD best practices. About You You will be a highly experienced Data Architect with a strong track record of modernising enterprise data environments and delivering scalable cloud-based solutions. Required Experience 10+ years' experience within Data Engineering, Data Architecture, or a related field. At least 4 years of hands-on Snowflake architecture and design experience. Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design. Strong knowledge of dbt and source control practices using GitHub. Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems. Strong understanding of data governance, security, CI/CD, and engineering best practices. Experience transforming Legacy data environments into modern, automated cloud-based architectures. Desirable Experience with Kestra or other modern orchestration platforms. Exposure to AI, GenAI, vector search, embeddings, or semantic data architectures. Retail, wholesale, supply chain, or large enterprise data platform experience.
Jul 21, 2026
Full time
Snowflake Data Architect Location: Wembley (Fully on-site) Salary: £100,000 + Permanent Benefits The Opportunity We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best practice across data engineering teams, and build scalable solutions that support analytics, automation, and emerging AI capabilities. The successful candidate will be responsible for establishing data modelling standards, designing robust integration architectures, driving platform optimisation, and ensuring the delivery of high-quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for Legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data quality. Architect cloud-based data pipelines leveraging Snowflake and modern orchestration technologies, ensuring reliability, scalability, and operational excellence. Establish security and access frameworks, including role-based access control, data masking, row-level security, and environment separation best practices. Lead initiatives to optimise platform performance and cost management, identifying efficiencies in data processing, storage, and query execution. Design data structures and architectures that enable AI, GenAI, and advanced analytics use cases, including semantic and metadata-driven solutions. Partner closely with data engineering teams, business stakeholders, and analysts to define data contracts and maintain a consistent, trusted data ecosystem. Promote a Data-as-Code culture, driving engineering standards, automation, governance, and CI/CD best practices. About You You will be a highly experienced Data Architect with a strong track record of modernising enterprise data environments and delivering scalable cloud-based solutions. Required Experience 10+ years' experience within Data Engineering, Data Architecture, or a related field. At least 4 years of hands-on Snowflake architecture and design experience. Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design. Strong knowledge of dbt and source control practices using GitHub. Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems. Strong understanding of data governance, security, CI/CD, and engineering best practices. Experience transforming Legacy data environments into modern, automated cloud-based architectures. Desirable Experience with Kestra or other modern orchestration platforms. Exposure to AI, GenAI, vector search, embeddings, or semantic data architectures. Retail, wholesale, supply chain, or large enterprise data platform experience.
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. Manages collateral and margin activities on behalf of Vanguard funds. Completes complex tasks, manages priorities, and analyzes inputs to meet fund and investment operational objectives. Responsible for tasks in support of accurate calculations for a wide range of portfolios, including institutional funds, investment trusts, mutual funds, ETFs and other pooled vehicles. Manages collateral and margin activities on behalf of Vanguard funds. Completes complex tasks, manages priorities, and analyzes inputs to meet fund and investment operational objectives. Responsible for tasks in support of accurate calculations for a wide range of portfolios, including institutional funds, investment trusts, mutual funds, ETFs and other pooled vehicles. Fund & Investment Operations Analyst, Senior Associate Job Description Manages collateral and margin activities on behalf of Vanguard funds. Completes complex tasks, manages priorities, and analyzes inputs to meet fund and investment operational objectives. Responsible for tasks in support of accurate calculations for a wide range of portfolios, including institutional funds, investment trusts, mutual funds, ETFs and other pooled vehicles. Key Responsibilities Serves as subject matter and technical expert, identifies and resolves complex fund and investment operational issues. Manages and executes collateral and margin activity on behalf of Vanguard funds. Maintains internal systems and external counterparty relationships to ensure best outcomes and manage regulatory, market and counterparty risk. Leads process improvements efforts, completes comprehensive analysis, and recommends solutions. Documents procedures across all fund and investment product types. Leverages fund and investment operational knowledge to aid in the production of gold copy data and enhance output. Maintains communication with internal and external partners to resolve process and reconciliation issues. Oversees the research and implement complex process improvements. Executes daily operation, manages controls and verifies completion of processes Identifies opportunities for process improvements and proactively proposes solutions. Participates in special projects and performs other duties as assigned. Required Qualifications Minimum of two years related work experience. Undergraduate degree or equivalent combination of training and experience. Accounting or Finance degree preferred. Exposure to semantic modelling, metadata management, data governance, or knowledge graph technologies. Experience working within Agile product delivery environments. Work Schedule Hybrid - Currently Tuesday, Wednesday and Thursday in the office Special Factors Vanguard is not offering visa sponsorship for this position. This position is hybrid and requires you to be in the office 3 days per week. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This philosophy has helped millions of people around the world achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value for investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (employees are referred to internally as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, treat them fairly, and give them the best chance for investment success. Applications may close early if there is a high number of applications, so please apply early. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Jul 16, 2026
Full time
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. Manages collateral and margin activities on behalf of Vanguard funds. Completes complex tasks, manages priorities, and analyzes inputs to meet fund and investment operational objectives. Responsible for tasks in support of accurate calculations for a wide range of portfolios, including institutional funds, investment trusts, mutual funds, ETFs and other pooled vehicles. Manages collateral and margin activities on behalf of Vanguard funds. Completes complex tasks, manages priorities, and analyzes inputs to meet fund and investment operational objectives. Responsible for tasks in support of accurate calculations for a wide range of portfolios, including institutional funds, investment trusts, mutual funds, ETFs and other pooled vehicles. Fund & Investment Operations Analyst, Senior Associate Job Description Manages collateral and margin activities on behalf of Vanguard funds. Completes complex tasks, manages priorities, and analyzes inputs to meet fund and investment operational objectives. Responsible for tasks in support of accurate calculations for a wide range of portfolios, including institutional funds, investment trusts, mutual funds, ETFs and other pooled vehicles. Key Responsibilities Serves as subject matter and technical expert, identifies and resolves complex fund and investment operational issues. Manages and executes collateral and margin activity on behalf of Vanguard funds. Maintains internal systems and external counterparty relationships to ensure best outcomes and manage regulatory, market and counterparty risk. Leads process improvements efforts, completes comprehensive analysis, and recommends solutions. Documents procedures across all fund and investment product types. Leverages fund and investment operational knowledge to aid in the production of gold copy data and enhance output. Maintains communication with internal and external partners to resolve process and reconciliation issues. Oversees the research and implement complex process improvements. Executes daily operation, manages controls and verifies completion of processes Identifies opportunities for process improvements and proactively proposes solutions. Participates in special projects and performs other duties as assigned. Required Qualifications Minimum of two years related work experience. Undergraduate degree or equivalent combination of training and experience. Accounting or Finance degree preferred. Exposure to semantic modelling, metadata management, data governance, or knowledge graph technologies. Experience working within Agile product delivery environments. Work Schedule Hybrid - Currently Tuesday, Wednesday and Thursday in the office Special Factors Vanguard is not offering visa sponsorship for this position. This position is hybrid and requires you to be in the office 3 days per week. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This philosophy has helped millions of people around the world achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value for investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (employees are referred to internally as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, treat them fairly, and give them the best chance for investment success. Applications may close early if there is a high number of applications, so please apply early. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description About Wise Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission. Job Description We're looking for a Lead Product Analyst to join the Business Account squad and the Business Onboarding team. As a Lead Product Analyst, your mission will be to deeply understand the needs of business customers as they register with Wise for the first time, regain access to their account, and complete the checks needed to use Wise safely. You'll help the team find the right balance between conversion, customer experience, operational efficiency, and risk controls: reducing unnecessary friction for legitimate businesses while helping deflect bad actors. This role offers a significant opportunity to collaborate across various teams, including Business Pricing, Account Experience, and Verification, to ensure a seamless and integrated experience for our business customers. For more information on our Analytics Career Map and levelling structure, click here. What you will be doing: Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help your team understand their progress and communicate recommendations to senior stakeholders. Use data exploration and funnel analysis to identify high-impact opportunities in the onboarding flow. Partner with the team to prioritise projects with the highest leverage. Lead experimentation and A/B tests for business onboarding, defining hypotheses and metrics. Analyze results to drive product roadmap recommendations to reduce friction and boost conversion. Build and maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights Qualifications What you'll bring: Technical depth: 5+ years of experience in analytical roles, with excellent SQL and the ability to write clear, performant, reliable queries across large and complex datasets. Product analytics craft: Strong experience with at least three of funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and documentation that can be retrieved and reasoned over. Ownership: You enjoy working independently in a fast-paced environment. You identify high-impact opportunities and make them happen. You triage requests by impact and know when to go deep versus deliver 80/20 results. Communication: Excellent verbal and written communicator - you cut through the noise, communicating what matters in a way that people get it. You craft dashboards and visualisations that tell a story and have diagnostic power. Analytical Thinking: You have experience with at least one of: funnel analysis, customer segmentation/cohort analysis, or metrics decomposition. You structure problems before diving into data and know how to find the signal in the noise. Nice to have but not essential: Prior experience in the B2B space - understanding business customers' financial and operational needs. A/B testing or causal inference experience. Familiar with onboarding frameworks and KYC/KYB processes. Demonstrated capability to utilize AI and machine learning for enhancing analytical results and automating routine work. Additional Information What do we offer: Salary: £75,000 - £115,000 Company Restricted Stock Units Numerous great benefits in our London office Key benefits: Hybrid working Paid annual holiday, sick days, parental leave and other leave opportunities 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Jul 14, 2026
Full time
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description About Wise Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission. Job Description We're looking for a Lead Product Analyst to join the Business Account squad and the Business Onboarding team. As a Lead Product Analyst, your mission will be to deeply understand the needs of business customers as they register with Wise for the first time, regain access to their account, and complete the checks needed to use Wise safely. You'll help the team find the right balance between conversion, customer experience, operational efficiency, and risk controls: reducing unnecessary friction for legitimate businesses while helping deflect bad actors. This role offers a significant opportunity to collaborate across various teams, including Business Pricing, Account Experience, and Verification, to ensure a seamless and integrated experience for our business customers. For more information on our Analytics Career Map and levelling structure, click here. What you will be doing: Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help your team understand their progress and communicate recommendations to senior stakeholders. Use data exploration and funnel analysis to identify high-impact opportunities in the onboarding flow. Partner with the team to prioritise projects with the highest leverage. Lead experimentation and A/B tests for business onboarding, defining hypotheses and metrics. Analyze results to drive product roadmap recommendations to reduce friction and boost conversion. Build and maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights Qualifications What you'll bring: Technical depth: 5+ years of experience in analytical roles, with excellent SQL and the ability to write clear, performant, reliable queries across large and complex datasets. Product analytics craft: Strong experience with at least three of funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and documentation that can be retrieved and reasoned over. Ownership: You enjoy working independently in a fast-paced environment. You identify high-impact opportunities and make them happen. You triage requests by impact and know when to go deep versus deliver 80/20 results. Communication: Excellent verbal and written communicator - you cut through the noise, communicating what matters in a way that people get it. You craft dashboards and visualisations that tell a story and have diagnostic power. Analytical Thinking: You have experience with at least one of: funnel analysis, customer segmentation/cohort analysis, or metrics decomposition. You structure problems before diving into data and know how to find the signal in the noise. Nice to have but not essential: Prior experience in the B2B space - understanding business customers' financial and operational needs. A/B testing or causal inference experience. Familiar with onboarding frameworks and KYC/KYB processes. Demonstrated capability to utilize AI and machine learning for enhancing analytical results and automating routine work. Additional Information What do we offer: Salary: £75,000 - £115,000 Company Restricted Stock Units Numerous great benefits in our London office Key benefits: Hybrid working Paid annual holiday, sick days, parental leave and other leave opportunities 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Data Quality Analyst Contract - 12 Month FTC Theale/Home Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data. The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance. Key Responsibilities of the Data Quality Analyst include: Deliver daily reports and enhance data governance controls Enforce data policies across ingestion, quality, and lifecycle management Maintain dashboards and remediation plans for data quality Collaborate with stakeholders to meet strategic data goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed) Project People is acting as an Employment Business in relation to this vacancy.
Oct 07, 2025
Contractor
Data Quality Analyst Contract - 12 Month FTC Theale/Home Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data. The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance. Key Responsibilities of the Data Quality Analyst include: Deliver daily reports and enhance data governance controls Enforce data policies across ingestion, quality, and lifecycle management Maintain dashboards and remediation plans for data quality Collaborate with stakeholders to meet strategic data goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed) Project People is acting as an Employment Business in relation to this vacancy.
City & Capital are currently working with one of the UK's most dynamic and fast-growing specialist property finance lenders who are renowned for their innovation and tailored products to suit the needs of a broad range of professional borrowers, such as property developers and investors. Our client currently offers a range of property-backed loans to cover bridging finance, development exits, commercial mortgages and buy to let. Due to success to date, the lender has now doubled the size of their UK loan book and team 6 times in the last 6 years, with plans to achieve this for a 7th time across the coming period. Due to these increasing levels of high activity, they are generating more and more customer and performance data than ever before and are embarking on a key project to best manage & utilise this. An agile and robust data management and utilisation plan will be key to the attainment of this. Our client is therefore seeking an individual who will play an integral role in building & maintaining the businesses core data infrastructure & to deliver on the demands as outlined below. You will work closely with the lenders Chief Mortgage Officer & Senior Data Lead within the role. This is also a role that comes with plenty of progression potential for those that are successful in the role. About the Role As a Data Engineer, you will play a key role in building and maintaining the business's core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You'll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations with platforms like Salesforce and core lending systems. Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You'll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. You'll be a technically strong data professional with hands-on experience in pipeline development, cloud-based data infrastructure, and performance optimisation. You will be at your best when working collaboratively in fast-paced environments and when translating complex business needs into structured, reliable data systems. On?Offer Our client is ideally looking to pay between £50k - £705as a basic salary for the ideal individual, relevant to experience. Higher offers may also be considered for exceptional talent and potential. Salary will be complemented by a favourable bonus scheme too, that will significantly enhance annual earnings. Most notably, due to our clients continued growth & strong and proven promote from within policy, this is also a role that comes with plenty of progression potential, where excellent performance is delivered. In turn, this could see you propel both career standing & salary within, as you make a real impact on the role and business. The?role?will?be?based?in?our?clients?Mayfair?offices,?offering?a?collaborative?and?fast paced working environment. There is a reasonable amount of urgency to fill this position as you might expect, for the reasons outlined. We do not expect this role to be on the market for long! Therefore, if this role does sound like one that you are both qualified for and interested in then we look forward to your application as soon as possible. We do not expect this role to be on the market for long! We will aim to review your application as soon as possible and get back to you with an update following. We look forward to hearing from you. Kind Regards, The City and Capital Team
Oct 01, 2025
Full time
City & Capital are currently working with one of the UK's most dynamic and fast-growing specialist property finance lenders who are renowned for their innovation and tailored products to suit the needs of a broad range of professional borrowers, such as property developers and investors. Our client currently offers a range of property-backed loans to cover bridging finance, development exits, commercial mortgages and buy to let. Due to success to date, the lender has now doubled the size of their UK loan book and team 6 times in the last 6 years, with plans to achieve this for a 7th time across the coming period. Due to these increasing levels of high activity, they are generating more and more customer and performance data than ever before and are embarking on a key project to best manage & utilise this. An agile and robust data management and utilisation plan will be key to the attainment of this. Our client is therefore seeking an individual who will play an integral role in building & maintaining the businesses core data infrastructure & to deliver on the demands as outlined below. You will work closely with the lenders Chief Mortgage Officer & Senior Data Lead within the role. This is also a role that comes with plenty of progression potential for those that are successful in the role. About the Role As a Data Engineer, you will play a key role in building and maintaining the business's core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You'll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations with platforms like Salesforce and core lending systems. Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You'll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. You'll be a technically strong data professional with hands-on experience in pipeline development, cloud-based data infrastructure, and performance optimisation. You will be at your best when working collaboratively in fast-paced environments and when translating complex business needs into structured, reliable data systems. On?Offer Our client is ideally looking to pay between £50k - £705as a basic salary for the ideal individual, relevant to experience. Higher offers may also be considered for exceptional talent and potential. Salary will be complemented by a favourable bonus scheme too, that will significantly enhance annual earnings. Most notably, due to our clients continued growth & strong and proven promote from within policy, this is also a role that comes with plenty of progression potential, where excellent performance is delivered. In turn, this could see you propel both career standing & salary within, as you make a real impact on the role and business. The?role?will?be?based?in?our?clients?Mayfair?offices,?offering?a?collaborative?and?fast paced working environment. There is a reasonable amount of urgency to fill this position as you might expect, for the reasons outlined. We do not expect this role to be on the market for long! Therefore, if this role does sound like one that you are both qualified for and interested in then we look forward to your application as soon as possible. We do not expect this role to be on the market for long! We will aim to review your application as soon as possible and get back to you with an update following. We look forward to hearing from you. Kind Regards, The City and Capital Team
Data Architect Location: Hybrid working (minimum 2 days a week in Staffordshire Head Office) Type: Full-time Salary: Up to £70,000 Are you a visionary Data Architect ready to shape the future of enterprise data and AI ? I have an amazing opportunity to join my national market leading client to lead the design and delivery of scalable, secure, and high-performing data solutions that power transformation across a complex, data-rich organisation. What you'll be doing As a Data Architect, you'll be at the heart of enterprise-wide change programmes, working closely with the Lead Data Architect to: Design and deliver enterprise Data & AI architecture aligned with strategic goals. Develop conceptual, logical, and physical data models for both operational and analytical use cases. Define data architecture for solutions involving ETL , data integration, and migration. Establish and maintain data architecture assets, including standards, policies, and integration patterns. Collaborate with Data Stewards, Analysts, and SMEs to define and ratify common reference data and hierarchies. Ensure alignment with enterprise data models and governance frameworks. Support physical schema implementation in data platforms, ensuring consistency and performance. Document solutions including data models, configurations, and architecture decisions. Provide quality assurance across development activity and contribute to architectural standards. Stay ahead of the curve by researching emerging trends in Data & AI and identifying opportunities to drive innovation. What you'll bring Proven experience in data architecture, data modelling, and enterprise data strategy. Strong understanding of data governance, data quality, and metadata management. Experience designing data solutions across operational and analytical systems. Excellent stakeholder engagement and communication skills. A passion for innovation and continuous improvement in the data space. Tech you'll work with Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Why This Role? You'll be joining a forward-thinking team where data is central to decision-making and innovation. This is your chance to influence enterprise architecture, work on high-impact projects, and help shape a data-driven future. If you feel you are a great match, then please apply with an up-to-date CV Studies suggest that women tend not to apply for a job if their CV isn't a perfect fit. Here, talent takes precedence over experience. So, if you like the role and think you could be awesome at it in time, go ahead and apply. My client is unable to sponsor so please only apply if you can work full time without any restrictions
Sep 24, 2025
Full time
Data Architect Location: Hybrid working (minimum 2 days a week in Staffordshire Head Office) Type: Full-time Salary: Up to £70,000 Are you a visionary Data Architect ready to shape the future of enterprise data and AI ? I have an amazing opportunity to join my national market leading client to lead the design and delivery of scalable, secure, and high-performing data solutions that power transformation across a complex, data-rich organisation. What you'll be doing As a Data Architect, you'll be at the heart of enterprise-wide change programmes, working closely with the Lead Data Architect to: Design and deliver enterprise Data & AI architecture aligned with strategic goals. Develop conceptual, logical, and physical data models for both operational and analytical use cases. Define data architecture for solutions involving ETL , data integration, and migration. Establish and maintain data architecture assets, including standards, policies, and integration patterns. Collaborate with Data Stewards, Analysts, and SMEs to define and ratify common reference data and hierarchies. Ensure alignment with enterprise data models and governance frameworks. Support physical schema implementation in data platforms, ensuring consistency and performance. Document solutions including data models, configurations, and architecture decisions. Provide quality assurance across development activity and contribute to architectural standards. Stay ahead of the curve by researching emerging trends in Data & AI and identifying opportunities to drive innovation. What you'll bring Proven experience in data architecture, data modelling, and enterprise data strategy. Strong understanding of data governance, data quality, and metadata management. Experience designing data solutions across operational and analytical systems. Excellent stakeholder engagement and communication skills. A passion for innovation and continuous improvement in the data space. Tech you'll work with Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Why This Role? You'll be joining a forward-thinking team where data is central to decision-making and innovation. This is your chance to influence enterprise architecture, work on high-impact projects, and help shape a data-driven future. If you feel you are a great match, then please apply with an up-to-date CV Studies suggest that women tend not to apply for a job if their CV isn't a perfect fit. Here, talent takes precedence over experience. So, if you like the role and think you could be awesome at it in time, go ahead and apply. My client is unable to sponsor so please only apply if you can work full time without any restrictions
