The Head of Data will be accountable for leading our Data Department, including Data Engineering and Analytics, and for delivering the data strategy, architecture, governance, reporting and modernisation agenda. This is a senior leadership role requiring a balance of strategic direction, technical credibility, delivery oversight and strong stakeholder influence across the business Client Details We are the UK's Cash Access and ATM Network that connects virtually all the UK's ATMs and provides communities with access to cash through services such as cashback at retailers' tills, enhanced Post Offices and Banking Hubs. Our network of around 45,000 ATMs connects the country's payment infrastructure and enables the public to access their money easily, conveniently and safely. Description The successful Head of Data will be involved with but not limited to: Refine and implementing our existing Data Strategy. Have a deep understanding of our current technologies, including existing SQL Server environments, and incorporate this knowledge to drive the decommissioning and migration strategy as part of the Database Optimisation programme, including the transition to modern data platforms such as Databricks or Microsoft Fabric and the adoption of modern data engineering practices. Select and lead on the delivery of techniques and technologies to deliver resilient, scalable and future proofed analytics solutions Lead the development and oversee data quality standards, assurance frameworks and compliance practices. Ensuring the adoption of data governance and ownership through a team of data owners and data stewards Ensure robust governance of data models and data cataloguing for internal and external requirements Ensure secure, efficient and scalable data pipelines and integrations between systems using modern best practice. Lead, manage and develop an expanding team of circa 10 data specialists, including Data Engineers and Analysts, through regular coaching and mentoring, driving technical excellence by supporting the team in their respective roles to further develop their skills, technical and industry knowledge Profile The Successful Head of Data candidate will be able to demonstrate: Strategic data leadership, including the ability to define, refine and deliver an enterprise data strategy aligned to organisational objectives. Proven experience leading data engineering and analytics teams, including coaching, mentoring, capability building and performance management. Strong knowledge of data architecture, data platforms, data modelling, data warehousing, integration patterns and scalable analytics solutions. Hands-on credibility with SQL Server environments and experience supporting migration to modern platforms such as Databricks, Microsoft Fabric or comparable technologies. Strong understanding of data governance, data ownership, data stewardship, metadata management, data quality standards and assurance frameworks. Job Offer We are a not for profit and operate in the public interest. We are based in Harrogate and have a remote working policy ( circa 1 day in the office). Our offices are easy to get to by either public transport or car. In addition to some excellent benefits which can be discussed you can also expect Salary circa 75,000 - 90,000 Bonus Scheme Car allowance 1 Day a week in the office 35 hour week For more information on the exciting opportunity and to answer any further questions, apply today.
Aug 14, 2026
Full time
The Head of Data will be accountable for leading our Data Department, including Data Engineering and Analytics, and for delivering the data strategy, architecture, governance, reporting and modernisation agenda. This is a senior leadership role requiring a balance of strategic direction, technical credibility, delivery oversight and strong stakeholder influence across the business Client Details We are the UK's Cash Access and ATM Network that connects virtually all the UK's ATMs and provides communities with access to cash through services such as cashback at retailers' tills, enhanced Post Offices and Banking Hubs. Our network of around 45,000 ATMs connects the country's payment infrastructure and enables the public to access their money easily, conveniently and safely. Description The successful Head of Data will be involved with but not limited to: Refine and implementing our existing Data Strategy. Have a deep understanding of our current technologies, including existing SQL Server environments, and incorporate this knowledge to drive the decommissioning and migration strategy as part of the Database Optimisation programme, including the transition to modern data platforms such as Databricks or Microsoft Fabric and the adoption of modern data engineering practices. Select and lead on the delivery of techniques and technologies to deliver resilient, scalable and future proofed analytics solutions Lead the development and oversee data quality standards, assurance frameworks and compliance practices. Ensuring the adoption of data governance and ownership through a team of data owners and data stewards Ensure robust governance of data models and data cataloguing for internal and external requirements Ensure secure, efficient and scalable data pipelines and integrations between systems using modern best practice. Lead, manage and develop an expanding team of circa 10 data specialists, including Data Engineers and Analysts, through regular coaching and mentoring, driving technical excellence by supporting the team in their respective roles to further develop their skills, technical and industry knowledge Profile The Successful Head of Data candidate will be able to demonstrate: Strategic data leadership, including the ability to define, refine and deliver an enterprise data strategy aligned to organisational objectives. Proven experience leading data engineering and analytics teams, including coaching, mentoring, capability building and performance management. Strong knowledge of data architecture, data platforms, data modelling, data warehousing, integration patterns and scalable analytics solutions. Hands-on credibility with SQL Server environments and experience supporting migration to modern platforms such as Databricks, Microsoft Fabric or comparable technologies. Strong understanding of data governance, data ownership, data stewardship, metadata management, data quality standards and assurance frameworks. Job Offer We are a not for profit and operate in the public interest. We are based in Harrogate and have a remote working policy ( circa 1 day in the office). Our offices are easy to get to by either public transport or car. In addition to some excellent benefits which can be discussed you can also expect Salary circa 75,000 - 90,000 Bonus Scheme Car allowance 1 Day a week in the office 35 hour week For more information on the exciting opportunity and to answer any further questions, apply today.
Data Engineer Hybrid South Wales 3 months initially Outside IR35 IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. You ll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You ll be exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. Role overview Senior Data Engineer To come in and hit the ground running and start delivering quickly Expected to be initally 3months To be based in their modern offices 1 day per week with the wider team A chance to truly contribute to large scale digitalisation projects within Wales. Start date asap Virtual 1 stage interview IR35 status outside Please note, remote candidate or those living further afield will not be considered due to some office presence in South Wales. For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
Aug 13, 2026
Contractor
Data Engineer Hybrid South Wales 3 months initially Outside IR35 IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. You ll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You ll be exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. Role overview Senior Data Engineer To come in and hit the ground running and start delivering quickly Expected to be initally 3months To be based in their modern offices 1 day per week with the wider team A chance to truly contribute to large scale digitalisation projects within Wales. Start date asap Virtual 1 stage interview IR35 status outside Please note, remote candidate or those living further afield will not be considered due to some office presence in South Wales. For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
Data Platform Lead Microsoft Fabric £80,000 £90,000 + £9,000 Car Allowance + Bonus North West Hybrid 3 days per week We're supporting a large UK organisation that has made a significant investment in its enterprise data capability and is now looking for a Data Platform Lead to take ownership of the next phase of its Microsoft Fabric journey. The foundations are already in place. Microsoft Fabric has been established as the strategic data platform and the initial transformation has been successfully delivered. The next phase is about maturing the platform improving architecture, engineering standards, scalability, automation and governance, while ensuring it can support the organisation's continued growth and future ambitions around AI. This isn't a role to simply maintain an existing platform, nor is it another Fabric implementation project. It's an opportunity to own the technical direction of an enterprise data platform and shape what it becomes next. The Role Working closely with the Head of Data, you'll become the technical lead for the data platform, taking ownership of its architecture, engineering direction and ongoing evolution. You'll lead a small team of Data Engineers while remaining close to the technology providing technical direction, mentoring the team, reviewing designs and getting involved in complex engineering challenges where required. You'll have the autonomy to understand what's already been built, challenge existing approaches where appropriate and establish the standards needed to develop a scalable, reliable and well-governed enterprise platform. Your responsibilities will include: Owning the technical roadmap and architecture of the Microsoft Fabric platform. Driving engineering standards, reusable patterns and development best practice. Improving CI/CD, automation, testing and wider DevOps maturity. Ensuring the platform remains scalable, reliable, secure and cost-effective. Supporting strong data governance, quality and platform controls. Leading and developing a small Data Engineering team. Supporting the integration of new data sources as the organisation continues to evolve. Working with senior technical and business stakeholders to translate requirements into platform capabilities. Helping establish the data foundations required to support future AI and automation initiatives. Remaining technically close to the platform and supporting the team with complex architecture and engineering decisions. What We're Looking For Strong Microsoft Fabric experience is essential. We're looking for someone who combines strong modern Data Engineering expertise with the ability to think beyond individual solutions and take ownership of a wider enterprise data platform. You'll ideally bring: Strong hands-on experience designing, building or evolving Microsoft Fabric data platforms. Strong modern Data Engineering experience and an understanding of scalable data architecture. Experience influencing platform architecture, technical standards and engineering best practice. A good understanding of modern engineering practices including CI/CD, Git, automation and testing . Experience leading, mentoring or providing technical direction to Data Engineers. Strong communication skills with the ability to work effectively with both technical teams and senior business stakeholders. Experience across areas such as Medallion Architecture, Microsoft Purview, data governance, Python/PySpark, real-time/streaming, metadata-driven engineering or AI-enabled data products would be advantageous, but we're not expecting one person to tick every box. Why Join? This is an opportunity to join at an interesting point in a major data transformation. The investment has been made, the core platform is established and the foundations are there. The challenge now is to take ownership of what comes next. You'll have genuine influence over the technical direction of an enterprise Microsoft Fabric platform, significant autonomy in how it evolves and the opportunity to work closely with an experienced Head of Data who is looking for a technical partner , rather than simply another engineer. For someone who has already developed strong Microsoft Fabric expertise and is now looking for greater ownership, technical leadership and the opportunity to shape a platform over the long term , this represents a genuine next step.
Aug 11, 2026
Full time
Data Platform Lead Microsoft Fabric £80,000 £90,000 + £9,000 Car Allowance + Bonus North West Hybrid 3 days per week We're supporting a large UK organisation that has made a significant investment in its enterprise data capability and is now looking for a Data Platform Lead to take ownership of the next phase of its Microsoft Fabric journey. The foundations are already in place. Microsoft Fabric has been established as the strategic data platform and the initial transformation has been successfully delivered. The next phase is about maturing the platform improving architecture, engineering standards, scalability, automation and governance, while ensuring it can support the organisation's continued growth and future ambitions around AI. This isn't a role to simply maintain an existing platform, nor is it another Fabric implementation project. It's an opportunity to own the technical direction of an enterprise data platform and shape what it becomes next. The Role Working closely with the Head of Data, you'll become the technical lead for the data platform, taking ownership of its architecture, engineering direction and ongoing evolution. You'll lead a small team of Data Engineers while remaining close to the technology providing technical direction, mentoring the team, reviewing designs and getting involved in complex engineering challenges where required. You'll have the autonomy to understand what's already been built, challenge existing approaches where appropriate and establish the standards needed to develop a scalable, reliable and well-governed enterprise platform. Your responsibilities will include: Owning the technical roadmap and architecture of the Microsoft Fabric platform. Driving engineering standards, reusable patterns and development best practice. Improving CI/CD, automation, testing and wider DevOps maturity. Ensuring the platform remains scalable, reliable, secure and cost-effective. Supporting strong data governance, quality and platform controls. Leading and developing a small Data Engineering team. Supporting the integration of new data sources as the organisation continues to evolve. Working with senior technical and business stakeholders to translate requirements into platform capabilities. Helping establish the data foundations required to support future AI and automation initiatives. Remaining technically close to the platform and supporting the team with complex architecture and engineering decisions. What We're Looking For Strong Microsoft Fabric experience is essential. We're looking for someone who combines strong modern Data Engineering expertise with the ability to think beyond individual solutions and take ownership of a wider enterprise data platform. You'll ideally bring: Strong hands-on experience designing, building or evolving Microsoft Fabric data platforms. Strong modern Data Engineering experience and an understanding of scalable data architecture. Experience influencing platform architecture, technical standards and engineering best practice. A good understanding of modern engineering practices including CI/CD, Git, automation and testing . Experience leading, mentoring or providing technical direction to Data Engineers. Strong communication skills with the ability to work effectively with both technical teams and senior business stakeholders. Experience across areas such as Medallion Architecture, Microsoft Purview, data governance, Python/PySpark, real-time/streaming, metadata-driven engineering or AI-enabled data products would be advantageous, but we're not expecting one person to tick every box. Why Join? This is an opportunity to join at an interesting point in a major data transformation. The investment has been made, the core platform is established and the foundations are there. The challenge now is to take ownership of what comes next. You'll have genuine influence over the technical direction of an enterprise Microsoft Fabric platform, significant autonomy in how it evolves and the opportunity to work closely with an experienced Head of Data who is looking for a technical partner , rather than simply another engineer. For someone who has already developed strong Microsoft Fabric expertise and is now looking for greater ownership, technical leadership and the opportunity to shape a platform over the long term , this represents a genuine next step.
Burgers & Fries and Incredible Careers! We're the burger restaurant with the uncomplicated formula: burgers and fries cooked to perfection, with no frozen ingredients. And we've stuck to the same 'perfect and serve' philosophy since our family business began in 1986. We are seeking a highly capable and driven Data Engineer to join our dynamic data team. This role is pivotal in leading and initiating the migration of our data infrastructure from AWS to Microsoft Azure, shaping the future state of our data platform. You'll work at the heart of the business, enabling data integration, transformation, and reporting across a range of complex data sources. This is a strategic, hands-on role that requires someone who is not afraid to explore new technologies, drive change, and build future-proof data engineering solutions. You'll collaborate with cross-functional teams, manage data integrations, and optimize the performance of databases and cloud environments in a high-growth, fast-paced setting. YOUR RESPONSIBILITIES: Cloud Migration Leadership Play a key role in the execution of our data migration from AWS to Azure, working closely with the Solution Architect and Head of data to shape the technical approach and deliver scalable, cloud-native solutions. Evaluate existing data infrastructure and propose Azure-native solutions aligned to business needs. Define and lead the migration roadmap, collaborating with internal stakeholders and third parties. Advocate for innovation and drive adoption of Azure services, standards, and tools across the team. Apply and champion Azure Medallion architecture principles in future-state design. Data Ingestion & Integration Design and implement ingestion pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL). Ingest structured, semi-structured, and unstructured data from APIs, FTP/SFTP, cloud platforms, and file-based sources. Manage data integrations with suppliers, including file transfers and API-based solutions. Use Power Automate (Flow) to automate tasks like copying files from SharePoint or emails to SFTP. Provide third-line support for code issues and existing workflows, lead resolution of data failures and integration problems. Collaborate with stakeholders to define integration requirements and implement robust solutions. Data Transformation & ETL Build, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and other cloud-native tools. Develop reusable, scalable transformation logic to enable analytics and reporting needs. Apply data validation, cleansing, and lineage tracking throughout the pipeline lifecycle. Support both existing and future ETL workloads with strong SQL and scripting capabilities. Data Platform & Server Management Revamp and support existing database designs to enable a scalable migration to Azure. Introduce and enforce standards and governance around data structures and code. Optimize T-SQL code and SQL Server performance before deploying into production. Manage consistent data platforms across regions with a focus on reusability and modularity. Monitor and control database file growth, indexing strategies, and performance tuning. Develop scalable solutions based on both current and emerging business requirements. Data Cloud Operations & Resilience Lead initiatives in data cloud management, including usage monitoring and optimization. Configure and test disaster recovery processes, ensuring business continuity through backup and restore exercises. Archive or delete legacy data in line with governance and retention requirements. Delivery & Documentation Conduct data mapping exercises, analysing various sources and formats to design fit-for-purpose models. Create and present complete logical data models to both technical teams and business stakeholders. Participate in scoping future platforms and assessing legacy systems for migration to Azure. Perform functional and systems analysis, producing supporting documentation (e.g., flowcharts, data diagrams). Be the lead in discovery workshops, weekly stand-ups, and cross-functional solution delivery. YOUR TECHNICAL SKILLS & EXPERERIENCE Essential 6-10 years' experience working with SQL Server (including T-SQL development and performance tuning). Proven experience designing ETL/ELT pipelines, ideally in Azure Data Factory. Hands-on experience ingesting and transforming data in cloud environments (preferably Azure). Familiarity with Azure Medallion architecture or similar layered data designs. Integration experience with APIs, SFTP, cloud databases, and file systems. Comfortable working with Power Automate, SharePoint, and Office 365 integrations. Basic knowledge of C# or PowerShell for custom data integration tasks. Experience troubleshooting production systems and optimizing SQL workloads. Strong understanding of database administration, performance, and scalability. Cloud certification (e.g., Azure Practitioner or equivalent) is highly desirable. Desirable Experience working with notebooks and Python in Microsoft Fabric for data exploration, transformation, and pipeline development. Experience with AWS services and data environments, especially helpful for transition planning. Exposure to CI/CD, DevOps pipelines, and Git for data engineering workflows. Familiarity with data governance, quality management, and security practices. YOUR BEHAVIOURS & ATTRIBUTES Technically curious and excited by the opportunity to learn and adopt new tools. Naturally proactive and comfortable driving change in existing environments. Calm and solution-oriented in high-pressure or production-critical scenarios. Collaborative and open communicator who brings people on the journey. Able to travel occasionally within Europe to support cross-territory platforms and teams. LOCATION This role is based in our West London Office including some remote working
Oct 02, 2025
Full time
Burgers & Fries and Incredible Careers! We're the burger restaurant with the uncomplicated formula: burgers and fries cooked to perfection, with no frozen ingredients. And we've stuck to the same 'perfect and serve' philosophy since our family business began in 1986. We are seeking a highly capable and driven Data Engineer to join our dynamic data team. This role is pivotal in leading and initiating the migration of our data infrastructure from AWS to Microsoft Azure, shaping the future state of our data platform. You'll work at the heart of the business, enabling data integration, transformation, and reporting across a range of complex data sources. This is a strategic, hands-on role that requires someone who is not afraid to explore new technologies, drive change, and build future-proof data engineering solutions. You'll collaborate with cross-functional teams, manage data integrations, and optimize the performance of databases and cloud environments in a high-growth, fast-paced setting. YOUR RESPONSIBILITIES: Cloud Migration Leadership Play a key role in the execution of our data migration from AWS to Azure, working closely with the Solution Architect and Head of data to shape the technical approach and deliver scalable, cloud-native solutions. Evaluate existing data infrastructure and propose Azure-native solutions aligned to business needs. Define and lead the migration roadmap, collaborating with internal stakeholders and third parties. Advocate for innovation and drive adoption of Azure services, standards, and tools across the team. Apply and champion Azure Medallion architecture principles in future-state design. Data Ingestion & Integration Design and implement ingestion pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL). Ingest structured, semi-structured, and unstructured data from APIs, FTP/SFTP, cloud platforms, and file-based sources. Manage data integrations with suppliers, including file transfers and API-based solutions. Use Power Automate (Flow) to automate tasks like copying files from SharePoint or emails to SFTP. Provide third-line support for code issues and existing workflows, lead resolution of data failures and integration problems. Collaborate with stakeholders to define integration requirements and implement robust solutions. Data Transformation & ETL Build, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and other cloud-native tools. Develop reusable, scalable transformation logic to enable analytics and reporting needs. Apply data validation, cleansing, and lineage tracking throughout the pipeline lifecycle. Support both existing and future ETL workloads with strong SQL and scripting capabilities. Data Platform & Server Management Revamp and support existing database designs to enable a scalable migration to Azure. Introduce and enforce standards and governance around data structures and code. Optimize T-SQL code and SQL Server performance before deploying into production. Manage consistent data platforms across regions with a focus on reusability and modularity. Monitor and control database file growth, indexing strategies, and performance tuning. Develop scalable solutions based on both current and emerging business requirements. Data Cloud Operations & Resilience Lead initiatives in data cloud management, including usage monitoring and optimization. Configure and test disaster recovery processes, ensuring business continuity through backup and restore exercises. Archive or delete legacy data in line with governance and retention requirements. Delivery & Documentation Conduct data mapping exercises, analysing various sources and formats to design fit-for-purpose models. Create and present complete logical data models to both technical teams and business stakeholders. Participate in scoping future platforms and assessing legacy systems for migration to Azure. Perform functional and systems analysis, producing supporting documentation (e.g., flowcharts, data diagrams). Be the lead in discovery workshops, weekly stand-ups, and cross-functional solution delivery. YOUR TECHNICAL SKILLS & EXPERERIENCE Essential 6-10 years' experience working with SQL Server (including T-SQL development and performance tuning). Proven experience designing ETL/ELT pipelines, ideally in Azure Data Factory. Hands-on experience ingesting and transforming data in cloud environments (preferably Azure). Familiarity with Azure Medallion architecture or similar layered data designs. Integration experience with APIs, SFTP, cloud databases, and file systems. Comfortable working with Power Automate, SharePoint, and Office 365 integrations. Basic knowledge of C# or PowerShell for custom data integration tasks. Experience troubleshooting production systems and optimizing SQL workloads. Strong understanding of database administration, performance, and scalability. Cloud certification (e.g., Azure Practitioner or equivalent) is highly desirable. Desirable Experience working with notebooks and Python in Microsoft Fabric for data exploration, transformation, and pipeline development. Experience with AWS services and data environments, especially helpful for transition planning. Exposure to CI/CD, DevOps pipelines, and Git for data engineering workflows. Familiarity with data governance, quality management, and security practices. YOUR BEHAVIOURS & ATTRIBUTES Technically curious and excited by the opportunity to learn and adopt new tools. Naturally proactive and comfortable driving change in existing environments. Calm and solution-oriented in high-pressure or production-critical scenarios. Collaborative and open communicator who brings people on the journey. Able to travel occasionally within Europe to support cross-territory platforms and teams. LOCATION This role is based in our West London Office including some remote working
