25 jobs found

Head of Data - Wolverhampton (Hybrid onsite 3 days per week) A forward-thinking organisation is seeking a dynamic Head of Data to establish and lead a new, enterprise-wide capability at the centre of data-driven decision making. This is a high-impact leadership role responsible for shaping how data is transformed into actionable, trusted insight across the business. The successful candidate will define the vision, strategy, and operating model for analytics and intelligence, while building and leading a multidisciplinary team spanning BI, data engineering, analytics, and data science. Key Responsibilities: Establish and lead a new enterprise Data function, including strategy, governance, and operating model Build and develop a high-performing team across BI, Data Engineering, Analytics, and Data Science Define and deliver a prioritised insights roadmap aligned to business and technology strategy Ensure the delivery of trusted, consistent, and executive-ready reporting and analytics Own core KPIs, metrics, and management information, creating a single version of the truth Ensure Analytics and Data Science are built on robust, scalable, and well-governed data pipelines and models Align closely with architecture and application teams to integrate data platforms and models Enable advanced analytics capabilities, including forecasting, optimisation, and predictive modelling Ensure outputs are explainable, trusted, and Embedded into business decisions Lead Data Quality and Data Governance reporting, driving transparency, accountability, and continuous improvement Act as a trusted partner to senior stakeholders across key business functions, shaping demand and driving value Define and enforce standards to ensure scalable, secure, and maintainable solutions Continuously improve tools, processes, and ways of working to accelerate insight delivery What's Needed: Proven experience leading or establishing enterprise BI, Analytics, or Data functions Strong understanding of modern data platforms and architectures, particularly within Azure environments Demonstrated leadership across BI, Analytics, Data Engineering, and Data Science disciplines Experience delivering Data Quality and Data Governance reporting to senior stakeholders Excellent stakeholder management and executive communication skills Strong commercial mindset with a focus on outcomes and value realisation Desirable: Experience working in ERP-led or complex multi-application environments Hands-on exposure to tools such as Power BI, Azure Data Factory, Databricks, and SQL-based platforms Experience building teams in greenfield or transformation settings Background operating within complex, matrixed organisations Please apply ASAP if interested - Head of Data - GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

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

This is an exciting opportunity for a Senior Data Engineer to own the Azure/Databricks data & AI platform end-to-end from architecture and pipelines to governance, data quality, observability, ML enablement so the business gets trusted, timely, and cost-efficient data and models. Client Details Senior Data Engineer The organisation is a well established entity within the financial services industry. It operates as a medium-sized firm and focuses on providing reliable and innovative solutions to its clients. Description Senior Data Engineer Develop and oversee Azure-based solutions to support analytics functions. Design and evolve the Azure/Databricks modern data platform architecture. Build, optimise and maintain scalable ETL/ELT pipelines and data models. Implement data governance, lineage and cataloguing using Purview/Unity Catalog. Establish data quality frameworks, monitoring and observability across pipelines. Manage orchestration, platform operations and ITIL-aligned incident/change processes. Ensure strong data security, access controls and regulatory compliance. Support and enable machine learning and AI solutions within Databricks. Monitor and optimise cloud and compute costs using Azure FinOps tooling. Provide guidance and mentorship to the analytics team on Azure best practices. Profile Senior Data Engineer A successful senior data engineer will have deep, hands-on experience with Databricks and Azure, with the ability to own platform architecture, delivery and operations end-to-end (including DevOps, monitoring, reliability and cost control). They will be fluent across data engineering, governance, ML enablement and ITIL-aligned change and incident management. Proven expertise in delivering Azure and Databricks data platform solutions. Strong background in designing and optimising complex ETL/ELT pipelines. Hands-on experience with data governance, lineage and cataloguing tools. Proven ability to implement data quality, monitoring and observability practices. Experience leading platform operations, including incident and change management. Demonstrated capability in mentoring others and collaborating with diverse stakeholders. Strong leadership skills with the ability to guide and develop teams. Excellent analytical and problem-solving abilities. Job Offer Senior Data Engineer Competitive salary up to £70,000 + Bonus & Benefits. Standard benefits package provided. Permanent position within a reputable organisation. Chance to develop and lead innovative Azure-driven projects. Take the next step in your career by applying for this Senior Data Engineer position in Basingstoke today. Join a trusted organisation and make a significant impact.

Senior BI Insights Analyst Harnham Remote Bristol SENIOR BI INSIGHTS ANALYST 50K REMOTE BRISTOL UK training provider digital transformation needs Senior BI Analyst. End-to-end BI role project delivery stakeholder engagement operational support. COMPANY Major UK training provider second largest learner numbers revenue. Parent company four independent businesses delivering apprenticeships professional development supporting thousands learners employers. Digital data transformation consolidating systems standardised platforms learning management Salesforce payroll. Investing data infrastructure insight capabilities strategic operational decision making. TEAM Data Automation team reporting BI Manager. Small impactful team supporting data driven decision making. Team Head Data AI hiring, BI Manager line manager, 2 Senior BI Analysts, future Data Engineer. ROLE Hands on end to end BI. Balance project work day to day reporting insight delivery. Build maintain Power BI dashboards reports Manage BI support tickets troubleshooting access rights Work stakeholders gather requirements prototype test deliver insights Participate executive discussions present insights Support data capabilities data modelling reporting Ensure reports accurate relevant aligned business needs Contribute data driven decision making sales learner outcomes efficiency Fast paced dynamic. Switch tasks balance projects requests multiple stakeholders. SKILLS Power BI report development dashboard creation Strong SQL ETL processes data pipelines Data modelling Power BI DAX Microsoft Power Platform Power Automate Power Apps End to end BI lifecycle requirements to insights Senior stakeholder engagement translate business problems data solutions Fast paced complex environments Minimum 3 years 5 plus preferred NICE TO HAVE Education apprenticeship sector Python Modern platforms Fabric Databricks Data architecture governance pipeline design FOCUS Unified data platform development. Data multiple locations separate warehouses unstructured sources. Consolidate single scalable platform. Define data requirements reporting Support automation architecture Shape data drives performance decisions Experimenting Fabric. Architecture roadmap being defined. SALARY 50K base no bonus Remote Bristol office Small high impact team Shape unified platform Digital transformation Work across group INTERVIEW Stage 1 minutes BI Manager Senior Analyst question based Stage 2 45 minutes BI Manager stakeholder question based no task unless needed APPLY Send CV Mohammed Buhariwala or

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 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 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 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 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: £80k - 100k + Bonus + Pension

Python Full Stack Developer Azure Databricks London (Hybrid) 6 Month Contract £550/day (Inside IR35) Python Full Stack Developer needed with active SC Security Clearance Azure Cloud and Azure Databricks. . 6 Month Contract based in Central London (Hybrid). Start ASAP in March/April 2026. Hybrid Working - 2 days/week remote (WFH), and 3 days/week working on-site from the London office. A chance to work with a leading global IT and Digital transformation business specialising in Government projects: Key experience, responsibilities + tasks: Strong Python development expertise , develop and maintain Python code for data processing, API development and integration with the Azure Databricks environment. Senior experience in software development, with a focus on both front-end and back-end development. Front-end development using React, Angular, Vue.js, Front-end and back-end development of applications and APIs interacting with the Azure Databricks platform. Experience with Azure cloud platform and services. Azure Databricks. containerisation (Docker) and orchestration (Kubernetes). CI/CD pipelines. Technical Environment: Full Stack, Python, RESTful APIs, Git, SQL Server database experience, including working with databases (SQL and NoSQL). Demonstratable experience of reverse engineering existing codebases. Experience with testing frameworks (e.g., pytest, xUnit). Familiarity working with economic data or Financial Markets strongly desirable. Banking / Financial Services domain experience preferred. Must hold active SC Security Clearance used on a project within the past 12 Months.

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

Base Location: Reading / Havant / Perth Salary: 600 per day Working Pattern: 40 hours per week / Full time Embark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you'll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for generations to come. Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive experience in using Terraform to deploy cloud resources as infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong understanding of cloud access control and governance such as RBAC and IAM. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management. Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you're eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days. We appreciate your patience and look forward to the possibility of welcoming you aboard.

Senior Data Engineer, Insurance London/Hybrid To £85K + Bonus and Benefits SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.

Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey 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.

AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call

Your new company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (eg, Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.

Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.

Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.