6 of 6 Azure Synapse Analytics Jobs in Scotland

implementations, preferably Microsoft Dynamics 365 (D365) Data Migration: Proven experience in planning and executing complex data migration activities. Additional Core Data Architect Skills Database Technologies: Proficiency in SQL Server, Azure SQL Database, and other enterprise database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance … Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. Data Security More ❯

both strong technical expertise and business understanding. Are you passionate about building secure, scalable, and connected cloud environments Join us as a Cloud Infrastructure Engineer to help strengthen our Azure platforms and ensure our organisation is powered by modern, resilient, and secure technology. You'll work across Azure infrastructure, networking, and data services to design and deliver solutions … that connect our systems, protect our data, and enable digital transformation. From securing internal integrations to optimising data pipelines in Azure Data Factory and Azure SQL, you'll play a critical role in shaping how we use cloud technology to support our mission. This is a hands-on role where your problem-solving skills, technical expertise, and security … first mindset will make a real impact. About You What We're Looking For A hands-on technologist with strong knowledge of Azure infrastructure, networking, data platforms and identity management. Comfortable working with Azure Data Factory, Azure SQL, APIs, and cloud networking. Security-focused, with a good understanding of Azure Policy, Defender for Cloud, and identity More ❯

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 ❯

shape and deliver scalable, cloud-native data solutions for household-name clients. What youll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver … with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset adaptable, collaborative, and delivery-focused The details Location: Edinburgh 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day More ❯

and deliver scalable, cloud-native data solutions for household-name clients. What you ll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver … with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset adaptable, collaborative, and delivery-focused The details Location: Edinburgh 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day More ❯

and deliver scalable, cloud-native data solutions for household-name clients. What you’ll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver … with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused The details Location: Edinburgh – 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day More ❯