About Scrumconnect Scrumconnect Consulting is a UK national, award-winning SME software development consultancy with over 300 consultants across the UK. We partner with UK public sector clients to build impactful, user-centred digital services that improve millions of lives.We take as much pride in our people, culture, and work-life balance as we do in our mission to make public services simpler, faster, and more accessible.Collaborative, entrepreneurial, and dedicated to problem-solving, we bring the step-change our customers need to sustain innovation. About the Role As a Data Architect, you will define and maintain data architecture to support modern digital services. You will work closely with Technical Architects, Developers, and Analysts to ensure data is designed, stored, and consumed consistently across systems. This is a strategic yet hands-on role where you will support teams in building scalable, secure, and maintainable data solutions while ensuring alignment with organisational standards and data strategy. Hybrid Working Based in London with one day per week on-site. Remaining days may be worked remotely. Key Responsibilities - Data Architecture Design Design and maintain enterprise and solution-level data architectures. Define and support governance of data models, schemas, and metadata structures across the organisation. - Data Standards & Governance Support the creation and maintenance of data standards, data dictionaries, and governance practices to ensure consistency and compliance. - Architectural Guidance Provide technical guidance to delivery teams on data design, storage, and integration patterns. - Cross-team Collaboration Work closely with Technical Architects and engineering teams to ensure alignment between system design and data architecture principles. - Communication & Documentation Produce clear, structured documentation and communicate data architecture decisions effectively to both technical and non-technical stakeholders. - Continuous Improvement Contribute to improvements in data architecture practices, standards, and ways of working across the programme. Skills and Experience Required Experience in data architecture and data modelling Ability to design and maintain data models and metadata systems Experience working with data standards and data governance practices Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, Oracle) Experience with cloud-based data platforms (AWS and/or Azure) Understanding of data integration and data life cycle management Strong analytical, problem-solving, and communication skills Experience working in Agile delivery environments Desirable Experience with reporting/analytics tools such as Power BI or Tableau Exposure to data governance or data quality frameworks Familiarity with event-driven or integration-led architectures Ability to work effectively in a hybrid working environment Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.
May 14, 2026
Full time
About Scrumconnect Scrumconnect Consulting is a UK national, award-winning SME software development consultancy with over 300 consultants across the UK. We partner with UK public sector clients to build impactful, user-centred digital services that improve millions of lives.We take as much pride in our people, culture, and work-life balance as we do in our mission to make public services simpler, faster, and more accessible.Collaborative, entrepreneurial, and dedicated to problem-solving, we bring the step-change our customers need to sustain innovation. About the Role As a Data Architect, you will define and maintain data architecture to support modern digital services. You will work closely with Technical Architects, Developers, and Analysts to ensure data is designed, stored, and consumed consistently across systems. This is a strategic yet hands-on role where you will support teams in building scalable, secure, and maintainable data solutions while ensuring alignment with organisational standards and data strategy. Hybrid Working Based in London with one day per week on-site. Remaining days may be worked remotely. Key Responsibilities - Data Architecture Design Design and maintain enterprise and solution-level data architectures. Define and support governance of data models, schemas, and metadata structures across the organisation. - Data Standards & Governance Support the creation and maintenance of data standards, data dictionaries, and governance practices to ensure consistency and compliance. - Architectural Guidance Provide technical guidance to delivery teams on data design, storage, and integration patterns. - Cross-team Collaboration Work closely with Technical Architects and engineering teams to ensure alignment between system design and data architecture principles. - Communication & Documentation Produce clear, structured documentation and communicate data architecture decisions effectively to both technical and non-technical stakeholders. - Continuous Improvement Contribute to improvements in data architecture practices, standards, and ways of working across the programme. Skills and Experience Required Experience in data architecture and data modelling Ability to design and maintain data models and metadata systems Experience working with data standards and data governance practices Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, Oracle) Experience with cloud-based data platforms (AWS and/or Azure) Understanding of data integration and data life cycle management Strong analytical, problem-solving, and communication skills Experience working in Agile delivery environments Desirable Experience with reporting/analytics tools such as Power BI or Tableau Exposure to data governance or data quality frameworks Familiarity with event-driven or integration-led architectures Ability to work effectively in a hybrid working environment Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.
About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure technology solutions for public and private sector clients. This is a fully remote role based in India, supporting our UK operations and client base. You will work closely with our UK leadership team and must be comfortable operating within UK regulatory and legal frameworks. About the Role As a Data Architect, you will define and maintain data architecture to support modern digital services. You will work closely with Technical Architects, Developers, and Analysts to ensure data is designed, stored, and consumed consistently across systems. This is a strategic yet hands-on role where you will support teams in building scalable, secure, and maintainable data solutions while ensuring alignment with organisational standards and data strategy. Hybrid Working Based in Newcastle upon Tyne with three days per week on-site. Remaining days may be worked remotely. Key ResponsibilitiesData Architecture Design Design and maintain enterprise and solution-level data architectures. Define and support governance of data models, schemas, and metadata structures across the organisation. Data Standards & Governance Support the creation and maintenance of data standards, data dictionaries, and governance practices to ensure consistency and compliance. Architectural Guidance Provide technical guidance to delivery teams on data design, storage, and integration patterns. Cross-team Collaboration Work closely with Technical Architects and engineering teams to ensure alignment between system design and data architecture principles. Communication & Documentation Produce clear, structured documentation and communicate data architecture decisions effectively to both technical and non-technical stakeholders. Continuous Improvement Contribute to improvements in data architecture practices, standards, and ways of working across the programme. Skills and Experience Required Experience in data architecture and data modelling Ability to design and maintain data models and metadata systems Experience working with data standards and data governance practices Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, Oracle) Experience with cloud-based data platforms (AWS and/or Azure) Understanding of data integration and data life cycle management Strong analytical, problem-solving, and communication skills Experience working in Agile delivery environments Desirable Experience with reporting/analytics tools such as Power BI or Tableau Exposure to data governance or data quality frameworks Familiarity with event-driven or integration-led architectures Ability to work effectively in a hybrid working environment Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.
May 12, 2026
Full time
About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure technology solutions for public and private sector clients. This is a fully remote role based in India, supporting our UK operations and client base. You will work closely with our UK leadership team and must be comfortable operating within UK regulatory and legal frameworks. About the Role As a Data Architect, you will define and maintain data architecture to support modern digital services. You will work closely with Technical Architects, Developers, and Analysts to ensure data is designed, stored, and consumed consistently across systems. This is a strategic yet hands-on role where you will support teams in building scalable, secure, and maintainable data solutions while ensuring alignment with organisational standards and data strategy. Hybrid Working Based in Newcastle upon Tyne with three days per week on-site. Remaining days may be worked remotely. Key ResponsibilitiesData Architecture Design Design and maintain enterprise and solution-level data architectures. Define and support governance of data models, schemas, and metadata structures across the organisation. Data Standards & Governance Support the creation and maintenance of data standards, data dictionaries, and governance practices to ensure consistency and compliance. Architectural Guidance Provide technical guidance to delivery teams on data design, storage, and integration patterns. Cross-team Collaboration Work closely with Technical Architects and engineering teams to ensure alignment between system design and data architecture principles. Communication & Documentation Produce clear, structured documentation and communicate data architecture decisions effectively to both technical and non-technical stakeholders. Continuous Improvement Contribute to improvements in data architecture practices, standards, and ways of working across the programme. Skills and Experience Required Experience in data architecture and data modelling Ability to design and maintain data models and metadata systems Experience working with data standards and data governance practices Strong knowledge of relational and NoSQL databases (Postgres, MySQL, MongoDB, Oracle) Experience with cloud-based data platforms (AWS and/or Azure) Understanding of data integration and data life cycle management Strong analytical, problem-solving, and communication skills Experience working in Agile delivery environments Desirable Experience with reporting/analytics tools such as Power BI or Tableau Exposure to data governance or data quality frameworks Familiarity with event-driven or integration-led architectures Ability to work effectively in a hybrid working environment Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.
Data Governance Lead Edinburgh Personal Contract (dependent on skills and qualifications) Full time (hybrid) Benefits: Joint contribution pension 6% (12% total), enhanced maternity & family leave, life assurance, HolidayPlus, Virtual GP, Employee Assistance Programme, retail & leisure discounts, and many more. REQ5607 The purpose of this role is to mature SGN's data ownership capability across data by embedding foundational data ownership. Data owners should understand what data they own and adopt their responsibilities for managing that data (in collaboration with IT) so it is fit for purpose in delivering business outcomes. Responsibilities Lead on the rollout of SGN's data governance framework by establishing data ownership and decision rights over SGN's critical datasets. Provide secretariat support for SGN's domain data governance forums - arranging attendance and tracking minutes and actions. Provide regular updates on progress against the data ownership maturity roadmap and KPIs to sponsors in Information Management and other relevant stakeholders. Build relationships and engage business teams, relevant IT and specialist SMEs who own and control data across priority data domains (e.g., HR, Finance, Operations). Collaborate with data architects on the creation and maintenance of data management documentation such as conceptual data models and data flow diagrams. Coach and support data owners on their data ownership responsibilities: Identify critical data and create data glossaries. Raise data risk issues so they can be managed and mitigated. Incorporate good data quality management through business process improvements or data enhancement (cleanse/fix etc). Liaise with project teams and other business areas to share knowledge on the activities undertaken within the data governance team with relevant stakeholders across SGN. Manage SGN's enterprise data catalogue and business data glossary. Promote a strong data culture: Lead the adoption of a data driven culture by promoting awareness, education and advocacy of data governance principles, tools and best practice across all levels and business areas in SGN. Provide leadership and training on how we treat data as a shared asset that can be used by others. Qualifications Extensive experience in data governance and data management, including running data governance forums. Excellent communicator - ability to influence at all levels in the organisation and convey complex concepts to audiences across different business and technical backgrounds. Strong collaborator - experience of cross functional work and building relationships across diverse stakeholder groups. Extensive knowledge of data governance frameworks such as DAMA DMBOK. Experience in using data management tools to capture business metadata such as data catalogues, glossary terms and lineage. Understanding of data modelling, data engineering and data architecture principles. Knowledge or experience of areas of compliance such as Ofgem data regulation and risk management. Familiarity with best practice for data quality management, data security and data privacy regulations. Not sure you meet every requirement? Research shows some people - particularly women and those from under represented backgrounds - may hesitate to apply unless they meet every criterion. At SGN, we value diverse backgrounds, experiences and perspectives. If this role interests you but you're not sure you tick every box, we'd still love to hear from you - you might be just who we're looking for, now or in the future.
May 12, 2026
Full time
Data Governance Lead Edinburgh Personal Contract (dependent on skills and qualifications) Full time (hybrid) Benefits: Joint contribution pension 6% (12% total), enhanced maternity & family leave, life assurance, HolidayPlus, Virtual GP, Employee Assistance Programme, retail & leisure discounts, and many more. REQ5607 The purpose of this role is to mature SGN's data ownership capability across data by embedding foundational data ownership. Data owners should understand what data they own and adopt their responsibilities for managing that data (in collaboration with IT) so it is fit for purpose in delivering business outcomes. Responsibilities Lead on the rollout of SGN's data governance framework by establishing data ownership and decision rights over SGN's critical datasets. Provide secretariat support for SGN's domain data governance forums - arranging attendance and tracking minutes and actions. Provide regular updates on progress against the data ownership maturity roadmap and KPIs to sponsors in Information Management and other relevant stakeholders. Build relationships and engage business teams, relevant IT and specialist SMEs who own and control data across priority data domains (e.g., HR, Finance, Operations). Collaborate with data architects on the creation and maintenance of data management documentation such as conceptual data models and data flow diagrams. Coach and support data owners on their data ownership responsibilities: Identify critical data and create data glossaries. Raise data risk issues so they can be managed and mitigated. Incorporate good data quality management through business process improvements or data enhancement (cleanse/fix etc). Liaise with project teams and other business areas to share knowledge on the activities undertaken within the data governance team with relevant stakeholders across SGN. Manage SGN's enterprise data catalogue and business data glossary. Promote a strong data culture: Lead the adoption of a data driven culture by promoting awareness, education and advocacy of data governance principles, tools and best practice across all levels and business areas in SGN. Provide leadership and training on how we treat data as a shared asset that can be used by others. Qualifications Extensive experience in data governance and data management, including running data governance forums. Excellent communicator - ability to influence at all levels in the organisation and convey complex concepts to audiences across different business and technical backgrounds. Strong collaborator - experience of cross functional work and building relationships across diverse stakeholder groups. Extensive knowledge of data governance frameworks such as DAMA DMBOK. Experience in using data management tools to capture business metadata such as data catalogues, glossary terms and lineage. Understanding of data modelling, data engineering and data architecture principles. Knowledge or experience of areas of compliance such as Ofgem data regulation and risk management. Familiarity with best practice for data quality management, data security and data privacy regulations. Not sure you meet every requirement? Research shows some people - particularly women and those from under represented backgrounds - may hesitate to apply unless they meet every criterion. At SGN, we value diverse backgrounds, experiences and perspectives. If this role interests you but you're not sure you tick every box, we'd still love to hear from you - you might be just who we're looking for, now or in the future.
Role Overview We are seeking an accomplished Lead Data Engineer (SFIA Level 5) to provide technical leadership, direction, and strategy across complex data engineering initiatives. This role involves leading teams to deliver resilient, scalable, and standards-driven data solutions, while engaging with senior stakeholders to translate requirements into robust data products and services. The Lead Data Engineer will be responsible for setting engineering standards, embedding best practices, and ensuring delivery aligns with strategic principles. The role also carries line management responsibilities, helping to build capability within the engineering community. Key Responsibilities Provide technical leadership and set the direction for engineering teams and communities, ensuring delivery adheres to data standards and strategic principles. Engage with senior stakeholders to define requirements for complex and sensitive data products, pipelines, and platforms. Oversee delivery and user testing of requirements across teams. Lead the redevelopment of existing data journeys, enhancing performance, resilience, and scalability, while adapting to evolving systems, tools, and platforms. Translate user requirements and data designs into effective, reusable, and standards-compliant data solutions. Define, deliver, and embed engineering standards across multiple platforms, keeping them updated and ensuring adherence across teams. Champion data validation methods and standards to ensure data quality from source to consumption. Standardise code, product, and service quality across engineering teams by implementing best practices and governance. Design and promote reusable metadata libraries and cross-business standards in collaboration with other technical disciplines. Partner with Lead Data Engineers, Data Architects, and Technologists to design and develop innovative solutions. Continually improve data engineering, automation, and scaling capabilities. Provide leadership and mentoring, helping to develop the skills and capabilities of the Data Engineer community. Carry out line management responsibilities, supporting the growth and development of Data Engineers. Ensure alignment and collaboration with teams across Digital Group, Data & Analytics, and Data Practice for consistency and scalability. Skills & Experience Required Practitioner Level: Proven ability to lead development and delivery of complex data pipelines using big data technologies (Apache Kafka, Spark, or similar) and cloud platforms (AWS, Azure). Technical leadership experience, setting team direction and ensuring adherence to data standards and strategic principles. Strong programming/coding expertise across Python, SQL, Proc SQL, and cloud technologies (Azure stack, AWS). Experience in designing and executing data/code quality assurance processes, troubleshooting, and resolving processing issues. Ability to apply standards and tools to design, code, test, correct, and document programs/scripts from agreed specifications. Knowledge of data modelling, with experience leading strategies for delivery to wider communities. Expert Level: Proven track record leading the development of ETL pipelines for large, complex, or high-volume datasets, with effective delegation and oversight. Advanced knowledge of data engineering standards, with the ability to establish, maintain, and enforce them across teams.
Oct 01, 2025
Role Overview We are seeking an accomplished Lead Data Engineer (SFIA Level 5) to provide technical leadership, direction, and strategy across complex data engineering initiatives. This role involves leading teams to deliver resilient, scalable, and standards-driven data solutions, while engaging with senior stakeholders to translate requirements into robust data products and services. The Lead Data Engineer will be responsible for setting engineering standards, embedding best practices, and ensuring delivery aligns with strategic principles. The role also carries line management responsibilities, helping to build capability within the engineering community. Key Responsibilities Provide technical leadership and set the direction for engineering teams and communities, ensuring delivery adheres to data standards and strategic principles. Engage with senior stakeholders to define requirements for complex and sensitive data products, pipelines, and platforms. Oversee delivery and user testing of requirements across teams. Lead the redevelopment of existing data journeys, enhancing performance, resilience, and scalability, while adapting to evolving systems, tools, and platforms. Translate user requirements and data designs into effective, reusable, and standards-compliant data solutions. Define, deliver, and embed engineering standards across multiple platforms, keeping them updated and ensuring adherence across teams. Champion data validation methods and standards to ensure data quality from source to consumption. Standardise code, product, and service quality across engineering teams by implementing best practices and governance. Design and promote reusable metadata libraries and cross-business standards in collaboration with other technical disciplines. Partner with Lead Data Engineers, Data Architects, and Technologists to design and develop innovative solutions. Continually improve data engineering, automation, and scaling capabilities. Provide leadership and mentoring, helping to develop the skills and capabilities of the Data Engineer community. Carry out line management responsibilities, supporting the growth and development of Data Engineers. Ensure alignment and collaboration with teams across Digital Group, Data & Analytics, and Data Practice for consistency and scalability. Skills & Experience Required Practitioner Level: Proven ability to lead development and delivery of complex data pipelines using big data technologies (Apache Kafka, Spark, or similar) and cloud platforms (AWS, Azure). Technical leadership experience, setting team direction and ensuring adherence to data standards and strategic principles. Strong programming/coding expertise across Python, SQL, Proc SQL, and cloud technologies (Azure stack, AWS). Experience in designing and executing data/code quality assurance processes, troubleshooting, and resolving processing issues. Ability to apply standards and tools to design, code, test, correct, and document programs/scripts from agreed specifications. Knowledge of data modelling, with experience leading strategies for delivery to wider communities. Expert Level: Proven track record leading the development of ETL pipelines for large, complex, or high-volume datasets, with effective delegation and oversight. Advanced knowledge of data engineering standards, with the ability to establish, maintain, and enforce them across teams.
