18 jobs found

Head of Data £80,000 + Excellent benefits Hybrid role - West Midlands A Head of Data is required for a senior leadership role accountable for defining and delivering the enterprise data strategy. Responsible for building a trusted, cloud-native data platform (Azure, Fabric, Purview) and embedding data across decision-making, risk, and customer outcomes in a regulated environment. Key Responsibilities Own and execute the organisation's data strategy (governance, quality, value). Lead Azure, Microsoft Fabric, and Purview platforms (architecture, roadmap, optimisation). Establish enterprise data governance (lineage, metadata, controls, compliance). Build and lead data engineering and architecture capability (lakehouse, pipelines). Drive analytics, BI (Power BI), and AI/ML adoption. Lead and develop a high-performing data team; influence senior stakeholders and regulators. Must-Have Experience Head of/Director-level data leadership in financial services or regulated sector. Deep expertise in Azure data stack (ADF, Databricks, Synapse, SQL, ADLS, CI/CD). Strong experience with Microsoft Purview and data governance frameworks. Hands-on experience with Microsoft Fabric and Power BI. Strong knowledge of FCA/PRA, GDPR, and data risk/operational resilience. Nice to Have Azure OpenAI/AI experience. Relevant Azure or data certifications. Profile Strategic but hands-on leader. Strong stakeholder management (Exec, regulators). Experience building data capabilities in transformation environments. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your TalentBank Technology Consultant. Additionally, you can contact Mark Bradshaw by exploring the TalentBank Technology website

Senior Systems Architect Duration: Min 6 months Rate: 800 to 900 Per Day - Inside IR35 via Umbrella Location: Warwickshire - 1 day per week onsite, rest remote working An accomplished, Midlands based Interim Senior Systems/Data Architect is required to support our leading financial services client's Datacentre Exit program, the Data Centre of Excellence and Data Engineering team. The successful candidate will need to have a strong Systems/Data/Information Architecture background, with proven experience leading on the designs for Azure based Data platforms. There will be a strong data element to the role and Microsoft stack is key. Deliverables - Deliverable 1: Support data engineering with any solutions design, HLD's needed for the long term and strategic solution move to Synapse. Deliverable 2: To provide IT assurance of SDP changes & DCoE initiatives, supplier produced proposals, technical reporting, remediation approaches and designs. Deliverable 3: To produce designs and other architectural artefacts as required to support delivery of SDP / DCoE projects. Deliverable 4: To provide tech advice and guidance to the various projects and DCoE to ensure that they remain fully engaged with the wider architectural community and comply with process and governance requirements Deliverable 5: To provide technical advice, guidance and support to the data engineering team and Architecture as required. Deliverable 6: Produce necessary KDD's and HLD's and Solution Visions to enable the delivery of BODS decommissioning and DCX / DCoE. Required experience - Strong Systems/Data/Platform/Information Architecture background Microsoft stack is key - Azure Cloud & Azure BI stack - PowerBI, Fabric, Data lakes Strong understanding of reporting, Datalakes, Datawarehousing Strong data experience Experience leading on the designs for Azure based Data platforms Azure Synapse highly desirable Data centre experience Experience working in highly regulated environments - financial services would be ideal If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.

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 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

Senior Data Engineer A successful FTSE-listed organisation with a friendly, close-knit culture is looking for a Senior Data Engineer to help shape and deliver its evolving data platform. This is a hands-on, high-impact role in a smaller organisation where you will act as both a senior engineer and strategic data partner, designing solutions that support both operational and long-term business goals. You will play an important role in the company s migration to Microsoft Fabric, while continuing to build and optimise its existing SQL Server-based data warehouse environment. While primarily a backend engineering role, you will also support reporting via SSRS/Microsoft Power BI, with an increasing focus on AI-driven capabilities over time. As the Senior Data Engineer, you will work closely with the Solutions Architect and collaborate with teams across the business, with occasional travel to France and Germany. This opportunity suits someone with in-depth SQL experience who is looking to work with modern tools like Microsoft Fabric. Essential Skills Strong SQL Server experience (T-SQL, SSIS, SSRS, stored procedures, functions, triggers) Data warehouse architecture, build and maintenance Excellent communication skills and ability to gather requirements from non-technical stakeholders at all levels Degree in Computer Science or STEM subject Comfortable working 4 days per week onsite in Vauxhall Desirable Microsoft Fabric, Azure Synapse, Azure Data Factory, Snowflake, Databricks Python or any other relevant language Experience with tools such as Power BI, Qlik or Tableau The role offers a package of £64k+, plus a bonus of up to 15%, along with a generous pension, 28 days' holiday, private medical insurance, permanent health insurance, study support, and a modern office with an onsite gym. If your experience aligns, apply with an up-to-date CV as soon as possible, as this is expected to be a popular opportunity.

Enterprise Data Manager/Head of Data Hybrid: 2-3 days per week in the office ( London ) Permanent Paying up to 115k + Bonus Experis are delighted to be partnering with a well-established organisation as they continue to evolve and mature their enterprise data capability during a significant phase of data platform transformation. We are supporting them in the search for an Enterprise Data Manager to take ownership of the organisation's enterprise-wide data agenda. This is a senior, strategic role focused on data leadership, governance, stakeholder alignment and platform direction, sitting above the existing Data Engineering Manager and working across multiple business functions. This role provides enterprise-level oversight and cohesion across a complex, federated data landscape. The organisation is midway through modernising its data platform and needs an experienced data leader who can bring clarity, alignment and strategic direction across teams. This is a highly visible role operating across technology and business leadership, treating data as a strategic asset and ensuring the organisation is positioned to scale its data and AI capabilities responsibly. What You'll Be Doing Leading and evolving the enterprise data strategy, turning high-level intent into a clear, actionable roadmap. Providing enterprise leadership across the data ecosystem, bringing alignment between data engineering, architecture, governance and reporting functions. Acting as the senior authority on data across the organisation, influencing senior stakeholders and shaping data-driven decision making. Providing strategic oversight of the organisation's modern data platform including Azure, Databricks, Lakehouse architecture and early exploration of Microsoft Fabric. Guiding key decisions around sources of truth, data product lifecycle management and platform operating models. Managing the strategic delivery partnership with Telef nica Tech, ensuring strong collaboration, knowledge transfer and service delivery. Overseeing vendor-delivered workstreams and shaping the future sourcing strategy as the internal capability evolves. Supporting the organisation's data governance and AI governance foundations, ensuring strong controls before AI capability is scaled further. Operating across a federated data landscape, aligning multiple teams and reducing duplication while strengthening the organisation's overall data ecosystem. Experience Required Proven experience operating at Head of Data / Enterprise Data Manager / senior data leadership level. Strong track record working within large, complex or regulated organisations. Deep understanding of modern data platforms, data governance and enterprise data operating models. Experience managing external vendors, managed services and strategic delivery partners. Comfortable leading through organisational change, transformation and ambiguity. Experience working with Databricks, Lakehouse architectures or Microsoft Fabric. Background in regulated or data-rich industries such as finance, insurance, legal or media. If you'd like to learn more, please contact Jacob Ferdinand at

Principal Data Engineer (MS Azure) Location UK Remote Salary Up to 68,000 home based nationally or up to 74,00 home based for those living within the M25 dependent on experience plus a 600 per annum home working allowance Job Ref J13058 We are looking for a Principal Data Engineer to shape the technical direction of data engineering across a cloud based Enterprise Data Platform built on Microsoft Azure. This role suits someone with deep hands on data engineering experience who can also set standards, guide teams, and influence how data solutions are designed and delivered at scale. You will play a key role in ensuring the platform is engineered to a consistently high standard and can evolve to meet future organisational needs. We value diverse perspectives and are committed to creating an environment where people with different backgrounds and experiences can do their best work. The environment The Enterprise Data Platform is built on Microsoft Azure, using Databricks, Microsoft Fabric, and Power BI to deliver trusted, governed data and analytics. What you will be doing Setting data engineering standards, patterns, and best practices Acting as a trusted senior technical authority across data engineering and analytics Shaping solution design and architectural decisions on Azure Ensuring data pipelines are scalable, reliable, and production ready Championing modern engineering practices including CI/CD and automation Working in a forward deployed way with delivery teams to support progress and remove blockers Managing and developing data engineers, supporting growth and high quality delivery What we are looking for Strong experience designing and building data platforms on Microsoft Azure Hands on experience with Databricks and Microsoft Fabric Experience working with analytics and reporting tools such as Power BI Experience managing and mentoring data engineers Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences A collaborative approach and an interest in raising engineering standards across teams If you have strong Azure based data engineering experience and want to shape how data engineering is delivered at scale, make an application today to find out more. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

Data Manager - Birmingham (hybrid) 70,000 PA Opportunity for a Data Manager to join a well-known organisation undergoing significant technology transformation. A reputable, complex organisation with numerous sites, providing services to hundreds-of-thousands across the country. You'll be joining at a particularly exciting time for the business. Reporting directly to the Head of IT, you'll be responsible for establishing and leading an enterprise-wide data management capability within a regulated, operationally complex environment. This is a key role responsible for ensuring organisational data is accurate, trusted, secure and fit for operational, regulatory and strategic decision-making, spanning data strategy, governance, architecture, engineering, reporting and analytics. Key Responsibilities: Build and deliver an enterprise data strategy, aligned to business objectives and measurable outcomes Establish robust data governance, ownership, standards, quality controls and prioritisation Lead the development of target data architecture, including warehousing, modelling, integrations and pipelines Oversee data integrity, security, availability and compliance (including GDPR / Data Protection) Manage delivery through internal teams and external partners, including procurement and supplier management Recruit and lead a small team (up to 3 data engineers / BI analysts) over time Work closely with stakeholders to deliver timely, accurate reporting and actionable insights Drive continuous improvement through data quality metrics, audits and process optimisation Skills & Experience: Strong experience in enterprise data management, governance and architecture Excellent knowledge of Microsoft data platforms (Power Platform, Microsoft Fabric, Azure data technologies) Confident communicator able to translate complex data concepts for senior/non-technical stakeholders Experience in regulated, asset-intensive or safety-critical sectors Salary up to 70,000 PA The role offers excellent benefits, including free/heavily discounted public transport travel, 25 days holiday (+bank holidays) and an excellent pension scheme.

Why Greencore? We're a leading manufacturer of convenience food in the UK and our purpose is to make everyday taste better! We're a vibrant, fast-paced leading food manufacturer. Employing 13,300 colleagues across 16 manufacturing units and 17 distribution depots across the UK. We supply all the UK's food retailers with everything from Sandwiches, soups and sushi to cooking sauces, pickles and ready meals, and in FY24, we generated revenues of £1.8bn. Our vast direct-to-store (DTS) distribution network, comprising of 17 depots nationwide, enables us to make over 10,500 daily deliveries of our own chilled and frozen produce and that of third parties. Why is this exciting for your career as a Senior Data Engineer? The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an enterprise wide digital transformation programme. The complexity of the initiative, within a FTSE 250 business, will allow for large-scale problem solving, group wide impact assessment and supporting the delivery of an enablement project to future proof the business. Why we embarked on Making Business Easier? Over time processes have become increasingly complex, increasing both the risk and cost they pose, whilst restricting our agility. At the same time, our customers and the market expect more from us than ever before. Making Business Easier forms a fundamental foundation for our commercial and operational excellence agendas, whilst supporting managing our cost base effectively in the future. The MBE Programme will streamline and simplify core processes, provide easier access to quality business data and will invest in the right technology to enable these processes. What you'll be doing: As a Senior Data Engineer, you will play a key role in shaping and delivering enterprise-wide data solutions that translate complex business requirements into scalable, high-performance data platforms. In this role, you will help define and guide the structure of data systems, focusing on seamless integration, accessibility, and governance, while optimising data flows to support both analytics and operational needs. Collaborating closely with business stakeholders, data engineers, and analysts, you will ensure that data platforms are robust, efficient, and adaptable to evolving business priorities. You will also support the usage, alignment, and consistency of data models; therefore, will have a wide-ranging role across many business projects and deliverables Shape and implement data solutions that align with business objectives and leverage both cloud and on-premise technologies Translate complex business needs into scalable, high-performing data solutions Support the development and application of best practices in data governance, security, and system design Collaborate closely with business stakeholders, product teams, and engineers to design and deliver effective, integrated data solutions Optimise data flows and pipelines to enable a wide range of analytical and operational use cases Promote data consistency across transactional and analytical systems through well-designed integration approaches Contribute to the design and ongoing improvement of data platforms - including data lakes, data warehouses, and other distributed storage environments - focused on efficiency, scalability, and ease of maintenance Mentor and support junior engineers and analysts in applying best practices in data engineering and solution design What you'll need: 5+ years of Data Engineering experience, with expertise in Azure data services and/or Microsoft Fabric Strong expertise in designing scalable data platforms and managing cloud-based data ecosystems Proven track record in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation Competent in integrating relational, NoSQL, and streaming data sources Management of CI/CD pipelines & Git-based workflows Good knowledge of data governance, privacy regulations, and security best practices Experience with modern data architectures, including data lakes, data mesh, and event-driven data processing Strong problem-solving and analytical skills to translate complex business needs into scalable data solutions Excellent communication and stakeholder management to align business and technical goals High attention to detail and commitment to data quality, security, and governance Ability to mentor and guide teams, fostering a culture of best practices in data architecture Power BI and DAX for data visualisation (desirable) Knowledge of Azure Machine Learning and AI services (desirable) Experience with streaming platforms like Event Hub or Kafka Familiarity with cloud cost optimisation techniques (desirable) What you'll get: Competitive salary and job-related benefits 25 days holiday allowance plus bank holidays Car Allowance Annual Target Bonus Pension up to 8% matched PMI Cover: Individual Life insurance up to 4x salary Company share save scheme Greencore Qualifications Exclusive Greencore employee discount platform Access to a full Wellbeing Centre platform

Why Greencore? We're a leading manufacturer of convenience food in the UK and our purpose is to make everyday taste better! We're a vibrant, fast-paced leading food manufacturer. Employing 13,300 colleagues across 16 manufacturing units and 17 distribution depots across the UK. We supply all the UK's food retailers with everything from Sandwiches, soups and sushi to cooking sauces, pickles and ready meals, and in FY24, we generated revenues of 1.8bn. Our vast direct-to-store (DTS) distribution network, comprising of 17 depots nationwide, enables us to make over 10,500 daily deliveries of our own chilled and frozen produce and that of third parties. Why is this exciting for your career as a Senior Data Engineer? The MBE Programme presents a huge opportunity for colleagues across the technology function to play a central role in the design, shape, delivery and execution of an enterprise wide digital transformation programme. The complexity of the initiative, within a FTSE 250 business, will allow for large-scale problem solving, group wide impact assessment and supporting the delivery of an enablement project to future proof the business. Why we embarked on Making Business Easier? Over time processes have become increasingly complex, increasing both the risk and cost they pose, whilst restricting our agility. At the same time, our customers and the market expect more from us than ever before. Making Business Easier forms a fundamental foundation for our commercial and operational excellence agendas, whilst supporting managing our cost base effectively in the future. The MBE Programme will streamline and simplify core processes, provide easier access to quality business data and will invest in the right technology to enable these processes. What you'll be doing: As a Senior Data Engineer, you will play a key role in shaping and delivering enterprise-wide data solutions that translate complex business requirements into scalable, high-performance data platforms. In this role, you will help define and guide the structure of data systems, focusing on seamless integration, accessibility, and governance, while optimising data flows to support both analytics and operational needs. Collaborating closely with business stakeholders, data engineers, and analysts, you will ensure that data platforms are robust, efficient, and adaptable to evolving business priorities. You will also support the usage, alignment, and consistency of data models; therefore, will have a wide-ranging role across many business projects and deliverables Shape and implement data solutions that align with business objectives and leverage both cloud and on-premise technologies Translate complex business needs into scalable, high-performing data solutions Support the development and application of best practices in data governance, security, and system design Collaborate closely with business stakeholders, product teams, and engineers to design and deliver effective, integrated data solutions Optimise data flows and pipelines to enable a wide range of analytical and operational use cases Promote data consistency across transactional and analytical systems through well-designed integration approaches Contribute to the design and ongoing improvement of data platforms - including data lakes, data warehouses, and other distributed storage environments - focused on efficiency, scalability, and ease of maintenance Mentor and support junior engineers and analysts in applying best practices in data engineering and solution design What you'll need: 5+ years of Data Engineering experience, with expertise in Azure data services and/or Microsoft Fabric Strong expertise in designing scalable data platforms and managing cloud-based data ecosystems Proven track record in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation Competent in integrating relational, NoSQL, and streaming data sources Management of CI/CD pipelines & Git-based workflows Good knowledge of data governance, privacy regulations, and security best practices Experience with modern data architectures, including data lakes, data mesh, and event-driven data processing Strong problem-solving and analytical skills to translate complex business needs into scalable data solutions Excellent communication and stakeholder management to align business and technical goals High attention to detail and commitment to data quality, security, and governance Ability to mentor and guide teams, fostering a culture of best practices in data architecture Power BI and DAX for data visualisation (desirable) Knowledge of Azure Machine Learning and AI services (desirable) Experience with streaming platforms like Event Hub or Kafka Familiarity with cloud cost optimisation techniques (desirable) What you'll get: Competitive salary and job-related benefits 25 days holiday allowance plus bank holidays Car Allowance Annual Target Bonus Pension up to 8% matched PMI Cover: Individual Life insurance up to 4x salary Company share save scheme Greencore Qualifications Exclusive Greencore employee discount platform Access to a full Wellbeing Centre platform

Data Solutions lead- 95,000-Hybrid About the Role We are seeking a dynamic and client-focused Pre-Sales Data Solutions Architect to join our high-performing team. In this role, you will lead the design and positioning of modern data platform solutions for enterprise clients. Your primary focus will be on pre-sales solutioning , including RFP/RFI response leadership , client workshops , and translating complex data architectures into compelling business value propositions. Key Responsibilities Client-Facing Solution Leadership Lead the creation of tailored, data-driven solutions in response to RFPs, RFIs, and client needs. Engage with senior stakeholders to understand business objectives and align them with scalable, modern data platform architectures. Craft solution narratives that clearly articulate business value and technical feasibility. Cross-Functional Collaboration Collaborate with sales, data architects, engineers, and delivery teams to shape commercially viable and technically sound solutions. Conduct discovery workshops and requirements-gathering sessions with clients to inform solution design. Act as a bridge between business and technical teams, ensuring a shared understanding of goals and outcomes. Proposal Management & Industry Insight Own and manage end-to-end proposal processes including content creation, reviews, pricing inputs, and executive summaries. Maintain a repository of reusable proposal assets, templates, and case studies. Stay current on trends in cloud platforms (Azure, AWS, GCP), data governance, analytics, and emerging technologies to inform solution strategy. Required Qualifications Proven experience in a pre-sales or consulting role focused on data platforms, cloud architecture, or analytics solutions. Deep knowledge of modern cloud data platforms (Azure, AWS, GCP), including data lakes, warehousing, governance, and pipelines. Demonstrated ability to lead RFP/RFI/RFS responses and engage effectively with senior business and IT stakeholders . Strong communication skills with the ability to translate complex technical concepts into clear business benefits. Experience with discovery workshops, solution design sessions, and proposal presentations. Preferred Qualifications Prior experience in a consulting, systems integrator, or cloud services environment. Certifications in Azure, AWS, or GCP (e.g., Azure Data Engineer, AWS Data Analytics, GCP Professional Data Engineer). Familiarity with data governance tools and practices (e.g., Collibra, Informatica, Microsoft Purview). Industry-specific knowledge in sectors like Financial Services, Healthcare, or Retail is a plus. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Data Solutions lead-£95,000-Hybrid About the Role We are seeking a dynamic and client-focused Pre-Sales Data Solutions Architect to join our high-performing team. In this role, you will lead the design and positioning of modern data platform solutions for enterprise clients. Your primary focus will be on pre-sales solutioning , including RFP/RFI response leadership , client workshops , and translating complex data architectures into compelling business value propositions. Key Responsibilities Client-Facing Solution Leadership Lead the creation of tailored, data-driven solutions in response to RFPs, RFIs, and client needs. Engage with senior stakeholders to understand business objectives and align them with scalable, modern data platform architectures. Craft solution narratives that clearly articulate business value and technical feasibility. Cross-Functional Collaboration Collaborate with sales, data architects, engineers, and delivery teams to shape commercially viable and technically sound solutions. Conduct discovery workshops and requirements-gathering sessions with clients to inform solution design. Act as a bridge between business and technical teams, ensuring a shared understanding of goals and outcomes. Proposal Management & Industry Insight Own and manage end-to-end proposal processes including content creation, reviews, pricing inputs, and executive summaries. Maintain a repository of reusable proposal assets, templates, and case studies. Stay current on trends in cloud platforms (Azure, AWS, GCP), data governance, analytics, and emerging technologies to inform solution strategy. Required Qualifications Proven experience in a pre-sales or consulting role focused on data platforms, cloud architecture, or analytics solutions. Deep knowledge of modern cloud data platforms (Azure, AWS, GCP), including data lakes, warehousing, governance, and pipelines. Demonstrated ability to lead RFP/RFI/RFS responses and engage effectively with senior business and IT stakeholders . Strong communication skills with the ability to translate complex technical concepts into clear business benefits. Experience with discovery workshops, solution design sessions, and proposal presentations. Preferred Qualifications Prior experience in a consulting, systems integrator, or cloud services environment. Certifications in Azure, AWS, or GCP (eg, Azure Data Engineer, AWS Data Analytics, GCP Professional Data Engineer). Familiarity with data governance tools and practices (eg, Collibra, Informatica, Microsoft Purview). Industry-specific knowledge in sectors like Financial Services, Healthcare, or Retail is a plus. To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Software Engineer Leeds Permanent C#, Azure, MVC, Javascript, Software Engineer, SQL Server This technology company based in Leeds city centre are looking for capable senior software developers to join their product development team working on the next generation of their software offerings. Working on a green field project you will have the opportunity to influence the direction of these systems through technology choices, technical design and input into feature requirements. The basis of the new systems is C# 6, ASP.NET 4.5 and Azure. Our Ideal Software Engineer · You will be a solid .NET software developer with proven commercial experience working within the .NET ecosystem. · You will be familiar with Azure and used to developing within the constraints of cloud computing and the web. · You will be familiar with Microservice architectures and aware of Microsoft's Service Fabric. · You will be passionate about writing software and will be accustom to delivering high quality, tested, scalable and maintainable code. · You will be adaptable. Be it coding on either the client or server the opportunity to try out a new language or framework should excite you. · You will have an appetite to learn and will share your findings. Roles and responsibilities · To code in a test driven manner to deliver feature requirements to a high standard of quality, accuracy and maintainability. · To work within a multidisciplinary team, with developers, designers, testers, a product owner, scrum master & a business analyst. · To ensure your code performs and scales efficiently. · To develop in a way that supports mobile and poor internet connections. · To design technical solutions including database design, infrastructure, business rules and presentation. Documentation must be produced to a high level of accuracy, be unambiguous, and kept up to date. · To act as a centre of excellence in terms of the essential competency skills shown below and to provide expertise to the business. · To identify and highlight where productivity gains can be achieved either through new techniques or adoption of programming tools. If appropriate design, develop and implement programming tools for internal use. · To help the business sponsors and product owners identify and classify programming defects and then develop a solution for these defects that satisfies the specification. · To set up and configure continuous integration and deployment into target infrastructure. · To keep up to date with current trends and new technologies within the industry through self-study and research. · To perform other functions as required by senior management. Required · Expert .NET experience · Excellent C# · Excellent ASP.NET · SQL Server · JavaScript The offices are based centrally in Leeds city centre and accessible by road or rail. The offices are a short 5 minute walk from the train station. Software Engineers in West Yorkshire will find this role easily accessible. C#, Azure, MVC, Javascript, Software Engineer, SQL Server