37 jobs found

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight. You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently. This is a newly created role in a growing business. A brilliant opportunity! The following skills/experience is required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary: Up to £90,000 + bonus + package Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead DataOps Engineer (Big Data) position and meet the above requirements please apply immediately.

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight. You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently. This is a newly created role in a growing business. A brilliant opportunity! The following skills/experience is required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary: Up to £90,000 + bonus + package Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead Big Data Ops Engineer position and meet the above requirements please apply immediately.

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £100k - 125k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £125k - 150k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £125k - 150k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £100k - 125k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £80k - 100k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £80k - 100k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £100k - 125k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £80k - 100k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £100k - 125k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You MUST have the following: Good experience as a Data Engineering Manager/Lead Data Architect Strong management experience- inheriting teams, raising standards and performance Strategy to align with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of. On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £125k - 150k + Bonus + Pension

Data Architect Hybrid RCT (South Wales) IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client on an exclusive growth project. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions at a enterprise level. Working closely with the Head of Data Engineering you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals desires and capabilities. You will shape, govern and assure the organisation s data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions Essential Skills Proven experience as a Senior Data Engineer or Data Architect (or similar/related role). Experience with Enterprise level Data sets. Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Ability to lead and mentor other team members. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Experience with Big Data. Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC). Experience of using programming languages such as Python, Scala and SQL Welsh language skills. Key Responsibilities (at a glance): Establish Data strategies and data modelling internally within the data estate Lead the design and oversight of enterprise aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high quality data flows across services. Provide expert architectural guidance to technical teams delivering cloud based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise-wide standards Work closely with other business leaders to maintain governance and compliance within their data estate. Work closely with data analysts,data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals Research into emerging technologies and upcoming trends Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies. Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. What you ll get in return (at a glance) A salary of circa £62,500 - £67,500 (depending on experience) 28 days annual leave + public bank holidays Hybrid working - To be based in their brand new, modern offices 1-2 days per week A flexible working environment Competitive Legal and General pension Scheme (8% employer contribution) 4 x Death in service The opportunity to work on modern and industry changing projects Progression and development opportunities Free Rail travel throughout Wales and discounted throughout the UK Salary sacrifice scheme such as cycle to work, electric vehicle A chance to truly contribute to large scale digitalisation projects within Wales For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas.

We are seeking an experienced Solution Architect to play a key role in an excellent client's large-scale platform migration programme focused on consolidating multiple payment and card-processing systems into a unified global ecosystem. The successful candidate will bring expertise in system migrations, ETL/data transformation pipelines, and cross-functional collaboration. You will work with engineering, product, operations, compliance, and partner teams to define and govern architecture that delivers secure, compliant, resilient, and high-performing outcomes. This can either be a mainly remote or hybrid role depending on what the successful candidate prefers. As well as competitive salary's, our client offers a comprehensive benefits package. Key Responsibilities Lead solution architecture for the migration and consolidation of regional card-processing and payments platforms into a modern, unified global environment. Design and own large-scale data migration and ETL processes, including data mapping, transformation logic, orchestration, validation, lineage, and implementation. Translate complex business requirements into: Data models and data flow diagrams Sequence diagrams Migration runbooks Integration specifications and architectural patterns Provide hands-on technical guidance to engineering teams during solution buildout, ensuring alignment to architectural standards. Collaborate with compliance functions to ensure architectural designs meet regulatory obligations (e.g., PCI-DSS, PSD2, AML, GDPR, electronic money regulations). Promote security-by-design across all components, focusing on card data handling, encryption, tokenisation, and access controls. Facilitate technical workshops and architecture design reviews with internal teams and external partners. Key Skills & Experience Experience as a Solution Architect in fintech, payments, card issuing/acquiring, or financial services. Demonstrated experience with large-scale platform, system, and data migrations. Hands-on expertise in designing ETL and data integration pipelines (Python, SQL-based orchestration, cloud-native ETL tools, messaging ingestion). Solid understanding of data engineering concepts with practical experience in SQL Server, MongoDB, Synapse, Fabric, and Snowflake. Familiarity with card-processing systems, scheme integrations, authorisation flows, transaction life cycles, and settlement processes; knowledge of cryptographic key migrations (e.g., EMV, PEK) is advantageous. Experience architecting microservices, REST APIs, event-driven architectures, and secure cloud services (Azure). Exceptional communication and collaboration skills, capable of working with senior stakeholders, external partners, and technical teams. Ability to balance strategic thinking with hands-on technical problem solving. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Job Title: Lead Data Engineer Location: Warwick (Hybrid - once per week onsite) Remuneration: From 700 per day (via umbrella company) Contract Details: Fixed Term Contract, 6 months, Full Time Are you ready to take the lead in transforming data engineering? Our client, a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role , ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools. Why This Role Stands Out This is not just a leadership role - it's a hands-on engineering opportunity where your Databricks expertise will be front and centre . You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting. Key Responsibilities Lead and deliver hands-on data engineering across all layers of the Azure-based data platform. Act as the Databricks SME (Subject Matter Expert) , overseeing architecture, configuration, and documentation. Guide and support the engineering team while contributing directly to development efforts. Manage DevOps practices including branch supervision and merging. Promote data pipelines and notebooks through development, testing, and production environments. Enhance monitoring and control frameworks to ensure platform reliability. Provide technical leadership and mentorship to a small team of Data Engineers. Essential Skills Extensive hands-on experience with Databricks - this is the core of the role. Strong background in Synapse and Azure DevOps. Proficiency in SQL and PySpark within a Databricks environment. Proven experience leading small engineering teams. Skilled in configuration management and technical documentation. If you're a Databricks expert looking for a role that blends leadership with deep technical involvement, this is your chance to make a real impact. Join a dynamic team and help shape the future of data engineering. Ready to elevate your career? Apply now and be a vital part of this exciting transformation! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Data Engineer Salary : £60,000 Location : Manchester Hybrid We're looking for an experienced Senior Data Engineer to join our team and lead the delivery of advanced Business Intelligence solutions using the latest Microsoft Azure technologies. Our client is a forward-thinking organisation that thrives on innovation, data-driven insights, and excellence. Their Data Analytics Team is at the forefront of driving commercial success and operational efficiency, and we are looking for a skilled Engineer to join a dynamic team. Reporting into the Head of Data and Business Intelligence, you will lead the development and implementation of performant, scalable, and cost-effective data and reporting solutions. You'll work across data sources including Microsoft Dynamics, in-house systems, and third-party platforms leveraging the latest Microsoft technologies. Key Responsibilities: Successful delivery of complex Business Intelligence solutions using modern data platform & reporting technologies and services in Microsoft Azure. Especially Synapse, ADF and Power BI (Datasets and Reports). Ideally SSIS, SSRS, SSAS with some understanding of Power App design and delivery Proficient in SQL and Python (PySpark) languages Understanding of data modelling concepts Experience of working with code management & deployment tools Proficient in debugging, monitoring, tuning and troubleshooting BI solutions. Knowledge and a proven track record in data governance / data quality management Desirable Experience: Familiarity with Microsoft Dynamics CRM, F&O, or Field Services as data sources If you're a technically strong, delivery-focused data professional with a passion for modern Azure-based BI solutions, we'd love to hear from you.

Job Title: Lead Data Engineer Role Type: Permanent Location: Birmingham (Hybrid) Role Overview As a Lead Data Engineer, you will be responsible for maintaining data infrastructure on Microsoft Azure and leveraging your expertise in Microsoft BI tools and cloud-based technologies to drive their data initiatives. You will play a critical role in the team optimising data infrastructure. Key Responsibilities Collaborate with cross-functional teams to achieve common business goals. Develop and maintain curated business models to support accurate and insightful decision-making. Utilise SSRS, SSAS, and SSIS to design, develop, and implement robust reporting and analytics solutions. Conduct complex data analysis to identify trends, patterns, and insights that drive business improvement. Demonstrate expertise in Azure Synapse and Azure Data Factory/Lakes for data integration, orchestration, and management. Implement and optimise data pipelines for seamless and efficient data flow within the Azure ecosystem. Extract data from Dynamics to build and enhance curated business models in Synapse/PowerBI. Ensure data security, compliance, and best practices are followed in Azure cloud environments. Build migration paths to transition from on-premises technologies to the cloud where appropriate. Essential Skills Proven experience as a Lead/Senior Data Engineer. Expertise in the Microsoft BI stack, including SSRS, SSAS, and SSIS. Hands-on experience with Azure Synapse, Azure Data Factory, and other Azure cloud services. Strong analytical and problem-solving skills, with the ability to turn complex data into actionable insights. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Demonstrated ability to design and implement curated business models for reporting and analysis. If you are a skilled Lead/Senior Data Engineer, we would like to hear from you. Apply now!

Data Engineer - 3 Month Contract - Hybrid - Cardiff VIQU have partnered with an NHS client who are seeking a Data Engineer to support an ongoing project. The successful Data Engineer will support the modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile practices for delivery. Key skills & experience: Strong experience with SQL Server, T-SQL, and SSIS. Hands-on with Azure SQL, Data Factory, Synapse, and Data Lake. Track record in data warehouse development and cloud migrations. Proficient with Azure DevOps/GitHub. Strong problem-solving and documentation skills. Python for automation (desirable) Knowledge of Microsoft Fabric & Azure Purview (desirable) Exposure to GCP (desirable) NHS experience (desirable) Contract Overview Role: Data Engineer Duration: 3-month contract IR35: Inside IR35 Rate: £400 - £420 per day Location: Hybrid - Cardiff Apply now to speak with VIQU IT in confidence. Or reach out to Suzie Stone via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.

Contract Opportunity: Lead Azure Data Engineer (Remote - 500/day Outside IR35) We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting through cutting-edge cloud engineering and data architecture. Location : Central London (UK-based candidates only) Rate : 500/day IR35 Status : Outside IR35 Start Date : ASAP - Interviews next week Duration : 6 months with potential for extension The Role You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure. Key Responsibilities Build and enhance ETL/ELT pipelines in Azure Databricks Develop facts and dimensions for financial reporting Collaborate with cross-functional teams to deliver robust data solutions Optimize data workflows for performance and cost-efficiency Implement governance and security using Unity Catalog Drive automation and CI/CD practices across the data platform Explore new technologies to improve data ingestion and self-service Essential Skills Azure Databricks : Expert in Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code, monitoring, automation Finance Domain Knowledge : Experience with financial systems and reporting Data Modelling : Kimball methodology, star schemas Retail Experience : Preferred but not essential About the Team We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to-end on solutions, share knowledge, and support each other's growth. Our culture values curiosity, innovation, and continuous learning. Interested? We have limited interview slots next week and aim to fill this role by the end of the month. Please send me a copy of your CV if you meet the requirements