Collibra Integration Engineer 6 Months 3 days a week, on-site - Canary Warf Up to 550 per day (Inside IR35) My client, in the financial sector are looking for a Collibra Integration Engineer who can blend strong technical expertise with solid business acumen. The ideal candidate will drive data lineage, origin, and quality initiatives using Collibra's platform, translating business requirements into effective technical solutions. Key Responsibilities Design & Implement Collibra data-governance solutions, focusing on data lineage, origin tracking, and quality management. Develop & Customize Collibra Data Quality (DQ) rules, workflows, and integrations. Collaborate with business analysts and data owners to gather requirements and ensure solutions meet functional needs. Maintain and troubleshoot Collibra environments, including metadata ingestion pipelines and DQ scoring. Write & review technical artifacts (e.g., mapping documents, JSON payloads, Oracle query scripts). Provide Guidance to junior team members and act as a liaison between the technical team and business stakeholders. Required skills Collibra Expertise Experience developing and configuring Collibra, especially Data Quality modules. Data Governance Hands-on work with data lineage, data origin, and data quality management. Technical Fundamentals Ability to read and write basic Oracle SQL and JSON. Business-Technical Bridging Demonstrated capability to translate business requirements into technical designs. Professional Experience required Good experience with Collibra in a development or integration role. Preferred Qualifications Collibra Professional Certification(s). Experience with ETL tools (Informatica, Talend, etc.) or data integration frameworks. Knowledge of data cataloging, metadata management, and data stewardship practices. Exposure to cloud platforms (Azure preferred) and related data services. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jul 04, 2026
Contractor
Collibra Integration Engineer 6 Months 3 days a week, on-site - Canary Warf Up to 550 per day (Inside IR35) My client, in the financial sector are looking for a Collibra Integration Engineer who can blend strong technical expertise with solid business acumen. The ideal candidate will drive data lineage, origin, and quality initiatives using Collibra's platform, translating business requirements into effective technical solutions. Key Responsibilities Design & Implement Collibra data-governance solutions, focusing on data lineage, origin tracking, and quality management. Develop & Customize Collibra Data Quality (DQ) rules, workflows, and integrations. Collaborate with business analysts and data owners to gather requirements and ensure solutions meet functional needs. Maintain and troubleshoot Collibra environments, including metadata ingestion pipelines and DQ scoring. Write & review technical artifacts (e.g., mapping documents, JSON payloads, Oracle query scripts). Provide Guidance to junior team members and act as a liaison between the technical team and business stakeholders. Required skills Collibra Expertise Experience developing and configuring Collibra, especially Data Quality modules. Data Governance Hands-on work with data lineage, data origin, and data quality management. Technical Fundamentals Ability to read and write basic Oracle SQL and JSON. Business-Technical Bridging Demonstrated capability to translate business requirements into technical designs. Professional Experience required Good experience with Collibra in a development or integration role. Preferred Qualifications Collibra Professional Certification(s). Experience with ETL tools (Informatica, Talend, etc.) or data integration frameworks. Knowledge of data cataloging, metadata management, and data stewardship practices. Exposure to cloud platforms (Azure preferred) and related data services. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Salesforce Technical Architect London (Hybrid) Up to £130,000 DOE Join a Leading Consultancy Business Delivering Enterprise Salesforce Transformation A leading consultancy business is seeking a talented Salesforce Technical Architect to play a pivotal role in delivering large-scale Salesforce transformation programmes for ambitious organisations. Working at the intersection of Salesforce, Data and emerging AI technologies, you'll help clients solve complex business and technology challenges through robust, scalable, enterprise-grade solutions. This is an opportunity to join a growing consultancy environment where technical excellence, innovation and continuous learning are highly valued. You'll work alongside experienced architects, consultants and delivery teams, leading the technical direction of multi-cloud Salesforce programmes while helping shape best practices, technical standards and future capabilities. The Role As a Salesforce Technical Architect, you will take ownership of the technical architecture across complex Salesforce implementations, ensuring solutions are scalable, secure, maintainable and aligned to both business and technical objectives. You'll provide leadership throughout the delivery life cycle, working closely with Solution Architects, Developers, Business Analysts and client stakeholders to design and implement high-quality Salesforce solutions. Key Responsibilities Lead the technical architecture for large-scale, complex Salesforce implementations Define and govern solution architecture across multiple Salesforce clouds and integrated technologies Provide technical leadership to development teams throughout project delivery Ensure solutions are designed in line with Salesforce best practice, scalability and security standards Review technical designs and provide guidance on complex implementation challenges Support deployment, release management and environment strategies Collaborate with Solution Architects and project teams to translate business requirements into technical solutions Drive technical quality and architectural governance throughout the project life cycle Contribute to internal technical communities, capability development and innovation initiatives Support the adoption of AI-enabled tools and approaches to enhance delivery efficiency and solution quality What We're Looking For Salesforce Technical Architecture Expertise You will have significant experience designing and delivering enterprise Salesforce solutions, with a strong understanding of platform capabilities, architecture patterns and technical governance. Experience should include: Acting as a lead Technical Architect on complex Salesforce programmes Extensive knowledge of the Salesforce platform and its architectural capabilities Strong experience across: Sales Cloud Service Cloud Experience Cloud Exposure to one or more of: Revenue Cloud Marketing Cloud Advanced CRM Analytics (CRMA) Industry Clouds such as Health Cloud, Life Sciences Cloud or Education Cloud Experience designing solutions involving Agentforce and emerging AI capabilities Deep understanding of Salesforce security, access controls and platform governance Strong knowledge of declarative and programmatic development approaches Solution Architecture & Design You'll be responsible for producing and governing technical architecture outputs, including: End-to-end technical solution designs High-Level Design (HLD) and Low-Level Design (LLD) documentation System architecture and technical landscape documentation Integration architecture and technical design decisions Data architecture and data migration strategies Security architecture and permission models Entity Relationship Diagrams (ERDs) and supporting architecture artefacts You'll also: Define architecture standards and technical design principles Review and assure technical solutions produced by delivery teams Provide technical coaching and guidance to developers and consultants Support architectural decision-making across complex delivery programmes Integration & Platform Design Experience with: Designing and documenting Salesforce integration approaches Evaluating integration patterns and technologies Working with both internal and external system users and requirements Delivering solutions involving third-party Salesforce applications and products Integrating technologies such as document generation, e-signature, CTI and industry-specific platforms Delivery & Stakeholder Management You'll demonstrate: Experience working effectively with stakeholders at all levels Strong workshop facilitation and technical discovery skills The ability to translate complex technical concepts into clear business language Experience supporting QA, testing and successful UAT outcomes A collaborative approach to working across architecture, development and business teams Experience mentoring and developing junior technical team members DevOps & Release Management You'll have practical experience with: Salesforce metadata deployment processes Release management and environment strategies Version control and deployment automation Gearset and GitHub Certifications The ideal candidate will hold, or be working towards: Salesforce Certified Application Architect Additional Salesforce architecture certifications would be highly advantageous
Jul 03, 2026
Full time
Salesforce Technical Architect London (Hybrid) Up to £130,000 DOE Join a Leading Consultancy Business Delivering Enterprise Salesforce Transformation A leading consultancy business is seeking a talented Salesforce Technical Architect to play a pivotal role in delivering large-scale Salesforce transformation programmes for ambitious organisations. Working at the intersection of Salesforce, Data and emerging AI technologies, you'll help clients solve complex business and technology challenges through robust, scalable, enterprise-grade solutions. This is an opportunity to join a growing consultancy environment where technical excellence, innovation and continuous learning are highly valued. You'll work alongside experienced architects, consultants and delivery teams, leading the technical direction of multi-cloud Salesforce programmes while helping shape best practices, technical standards and future capabilities. The Role As a Salesforce Technical Architect, you will take ownership of the technical architecture across complex Salesforce implementations, ensuring solutions are scalable, secure, maintainable and aligned to both business and technical objectives. You'll provide leadership throughout the delivery life cycle, working closely with Solution Architects, Developers, Business Analysts and client stakeholders to design and implement high-quality Salesforce solutions. Key Responsibilities Lead the technical architecture for large-scale, complex Salesforce implementations Define and govern solution architecture across multiple Salesforce clouds and integrated technologies Provide technical leadership to development teams throughout project delivery Ensure solutions are designed in line with Salesforce best practice, scalability and security standards Review technical designs and provide guidance on complex implementation challenges Support deployment, release management and environment strategies Collaborate with Solution Architects and project teams to translate business requirements into technical solutions Drive technical quality and architectural governance throughout the project life cycle Contribute to internal technical communities, capability development and innovation initiatives Support the adoption of AI-enabled tools and approaches to enhance delivery efficiency and solution quality What We're Looking For Salesforce Technical Architecture Expertise You will have significant experience designing and delivering enterprise Salesforce solutions, with a strong understanding of platform capabilities, architecture patterns and technical governance. Experience should include: Acting as a lead Technical Architect on complex Salesforce programmes Extensive knowledge of the Salesforce platform and its architectural capabilities Strong experience across: Sales Cloud Service Cloud Experience Cloud Exposure to one or more of: Revenue Cloud Marketing Cloud Advanced CRM Analytics (CRMA) Industry Clouds such as Health Cloud, Life Sciences Cloud or Education Cloud Experience designing solutions involving Agentforce and emerging AI capabilities Deep understanding of Salesforce security, access controls and platform governance Strong knowledge of declarative and programmatic development approaches Solution Architecture & Design You'll be responsible for producing and governing technical architecture outputs, including: End-to-end technical solution designs High-Level Design (HLD) and Low-Level Design (LLD) documentation System architecture and technical landscape documentation Integration architecture and technical design decisions Data architecture and data migration strategies Security architecture and permission models Entity Relationship Diagrams (ERDs) and supporting architecture artefacts You'll also: Define architecture standards and technical design principles Review and assure technical solutions produced by delivery teams Provide technical coaching and guidance to developers and consultants Support architectural decision-making across complex delivery programmes Integration & Platform Design Experience with: Designing and documenting Salesforce integration approaches Evaluating integration patterns and technologies Working with both internal and external system users and requirements Delivering solutions involving third-party Salesforce applications and products Integrating technologies such as document generation, e-signature, CTI and industry-specific platforms Delivery & Stakeholder Management You'll demonstrate: Experience working effectively with stakeholders at all levels Strong workshop facilitation and technical discovery skills The ability to translate complex technical concepts into clear business language Experience supporting QA, testing and successful UAT outcomes A collaborative approach to working across architecture, development and business teams Experience mentoring and developing junior technical team members DevOps & Release Management You'll have practical experience with: Salesforce metadata deployment processes Release management and environment strategies Version control and deployment automation Gearset and GitHub Certifications The ideal candidate will hold, or be working towards: Salesforce Certified Application Architect Additional Salesforce architecture certifications would be highly advantageous
ESSENTIAL ROLES & RESPONSIBILITIES Identify and understand customer data-centric use cases within regulated financial services environments Design and implement data ingestion, processing, and transformation pipelines on Azure Build and maintain data pipelines for cleaning, normalisation, enrichment, and preparation Apply appropriate data modelling techniques and architecture patterns, with a strong focus on medallion architecture Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability Use automated CI/CD pipelines to manage, deploy, and version data artefacts and pipelines Operationalise workflows developed by analysts and data scientists Support customers in adopting Azure data, analytics, and machine learning services Ensure secure storage, processing, and quality of customer data Ensure networking and security best practices are applied when designing and operating data solutions Design solutions for processing large volumes of data using batch and streaming approaches Collaborate with analytics teams on data visualisation best practices and reporting enablement Ensure all solutions are well-documented, including pipelines, schemas, transformations, and operational runbooks GOVERNANCE & REPORTING Maintain accurate documentation of data pipelines, schemas, transformations, and deployment processes Support data governance initiatives including lineage, metadata management, and access control Contribute to service reporting, risk tracking, and continuous improvement actions Ensure data environments are audit-ready and aligned with governance standards TECHNOLOGY STACK (AZURE) Cloud Platform: Microsoft Azure Data Engineering & Analytics: Azure Databricks (development, UAT, and production) Azure Data Factory Azure Synapse Analytics (where applicable) Machine Learning & AI : Azure Machine Learning (limited non-production usage) Azure Document Intelligence Databases: Microsoft SQL Server / Azure SQL Database (primary platforms) PostgreSQL (limited use) MySQL (limited use) Data Processing: Batch and streaming data pipelines Security & Governance: Role-based access control (RBAC) Data encryption and key management Audit logging and monitoring DevOps: CI/CD pipelines for data artefacts and infrastructure BEHAVIOURAL COMPETENCIES - ORGANISATIONAL & BEHAVIOURAL FIT Positive mindset and enthusiasm for learning new technologies Collaborative and supportive team player Strong sense of ownership and accountability Methodical, analytical approach to problem-solving Strong understanding of ethical data usage in regulated environments CRITICAL COMPETENCIES - TECHNICAL FIT Essential: Strong SQL skills Programming experience with Python and/or Scala Hands-on experience with Azure-based data platforms Experience designing, building, and maintaining data pipelines Strong understanding of data modelling (relational and analytical), including medallion architecture Experience orchestrating and optimising Databricks and Data Factory workloads Experience using CI/CD pipelines for data and analytics solutions Strong awareness of security, networking best practices, GDPR, and PII handling Desirable: Experience with Azure Databricks in production environments Familiarity with Azure Machine Learning and AI services Exposure to data visualisation tools (e.g. Power BI) Experience with big data frameworks (Spark, Kafka) Knowledge of data governance, lineage, and metadata tooling SHIFT & WORKING PATTERN Standard business hours, with participation in an on-call rota as required Occasional weekend engineering coverage will be required, typically limited to a small number of planned weekends per year to support business continuity, resilience testing, or disaster recovery activities
Jun 30, 2026
Full time
ESSENTIAL ROLES & RESPONSIBILITIES Identify and understand customer data-centric use cases within regulated financial services environments Design and implement data ingestion, processing, and transformation pipelines on Azure Build and maintain data pipelines for cleaning, normalisation, enrichment, and preparation Apply appropriate data modelling techniques and architecture patterns, with a strong focus on medallion architecture Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability Use automated CI/CD pipelines to manage, deploy, and version data artefacts and pipelines Operationalise workflows developed by analysts and data scientists Support customers in adopting Azure data, analytics, and machine learning services Ensure secure storage, processing, and quality of customer data Ensure networking and security best practices are applied when designing and operating data solutions Design solutions for processing large volumes of data using batch and streaming approaches Collaborate with analytics teams on data visualisation best practices and reporting enablement Ensure all solutions are well-documented, including pipelines, schemas, transformations, and operational runbooks GOVERNANCE & REPORTING Maintain accurate documentation of data pipelines, schemas, transformations, and deployment processes Support data governance initiatives including lineage, metadata management, and access control Contribute to service reporting, risk tracking, and continuous improvement actions Ensure data environments are audit-ready and aligned with governance standards TECHNOLOGY STACK (AZURE) Cloud Platform: Microsoft Azure Data Engineering & Analytics: Azure Databricks (development, UAT, and production) Azure Data Factory Azure Synapse Analytics (where applicable) Machine Learning & AI : Azure Machine Learning (limited non-production usage) Azure Document Intelligence Databases: Microsoft SQL Server / Azure SQL Database (primary platforms) PostgreSQL (limited use) MySQL (limited use) Data Processing: Batch and streaming data pipelines Security & Governance: Role-based access control (RBAC) Data encryption and key management Audit logging and monitoring DevOps: CI/CD pipelines for data artefacts and infrastructure BEHAVIOURAL COMPETENCIES - ORGANISATIONAL & BEHAVIOURAL FIT Positive mindset and enthusiasm for learning new technologies Collaborative and supportive team player Strong sense of ownership and accountability Methodical, analytical approach to problem-solving Strong understanding of ethical data usage in regulated environments CRITICAL COMPETENCIES - TECHNICAL FIT Essential: Strong SQL skills Programming experience with Python and/or Scala Hands-on experience with Azure-based data platforms Experience designing, building, and maintaining data pipelines Strong understanding of data modelling (relational and analytical), including medallion architecture Experience orchestrating and optimising Databricks and Data Factory workloads Experience using CI/CD pipelines for data and analytics solutions Strong awareness of security, networking best practices, GDPR, and PII handling Desirable: Experience with Azure Databricks in production environments Familiarity with Azure Machine Learning and AI services Exposure to data visualisation tools (e.g. Power BI) Experience with big data frameworks (Spark, Kafka) Knowledge of data governance, lineage, and metadata tooling SHIFT & WORKING PATTERN Standard business hours, with participation in an on-call rota as required Occasional weekend engineering coverage will be required, typically limited to a small number of planned weekends per year to support business continuity, resilience testing, or disaster recovery activities
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