5 of 5 Azure Synapse Analytics Jobs in Scotland

pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows, and … Responsibilities Design, develop, and maintain robust, scalable data pipelines and services that support investment data products and reporting platforms. Build and optimise data integration workflows using tools such as Azure Data Factory, Synapse Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation, unit testing, and CI/CD pipelines. Support data governance and metadata management initiatives to ensure data integrity and compliance. Explore and apply AI More ❯

enhancement. Key Areas of Focus Group Performance Reporting: Developing dashboards that provide consolidated insights across multiple business units, enabling group-wide visibility and informed decision-making. Sales and Operational Analytics: Delivering detailed reports and analysis on performance, trends, and forecasts to support strategic planning across the group. Departmental Insights: Building reports tailored to departmental needs, ensuring metrics are relevant … objectives. Regulatory and Compliance Reporting: Supporting compliance initiatives (e.g. Consumer Duty) by delivering transparent, accurate, and auditable reporting. What you'll need to succeed Degree in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience). Microsoft certifications are a plus. 5+ years' experience in Power BI development, with advanced proficiency in DAX, SQL, and data … and board level. Experience integrating Power BI with enterprise and cloud data sources via APIs, gateways, and direct connections. Strong understanding of data pipelines, dataflows, and cloud platforms (AWS, Azure). Solid grasp of data visualisation and UI/UX design principles, with familiarity in tools such as Figma or Balsamiq. Knowledge of AI and machine learning concepts to More ❯

Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital … make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are … followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to £100,000. Opportunity to shape the data landscape of a forward-thinking organisation. More ❯

Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital … make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are … followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. Benefits: Competitive salary up to £100,000. Opportunity to shape the data landscape of a forward-thinking organisation. More ❯

sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms – You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS … GCP, Azure). We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions – You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms … activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that More ❯