11 of 11 Remote/Hybrid Contract Azure Synapse Analytics Jobs

Data Architect – Insurance (Azure Data Platform) We're working with a leading organisation investing heavily in its data and analytics capabilities, and they're looking for an experienced Data Architect with a strong Insurance background to help shape the next generation of their Azure data platform. This … architecture across underwriting, claims, policy administration, actuarial and finance functions Define data models, integration frameworks and enterprise data standards Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments Drive the design of scalable data pipelines, ETL/ELT frameworks and integration ...

Excellent communication and stakeholder management skills Desirable Experience Customer segmentation and audience analysis Campaign performance and ROI analysis Customer journey, loyalty, or customer experience analytics Experience with Azure Synapse, Databricks, Microsoft Fabric, or similar cloud data platforms Experience within retail, distribution, e-commerce, trade, or multi-site … fixed-term contract Opportunity to work on high-profile marketing and customer insight initiatives Collaborative and stakeholder-facing role with real business impact Modern analytics environment using Power BI, SQL, and cloud-based data platforms If you're passionate about using data to improve marketing performance, customer engagement ...

Data Engineering to join the team. The QA Data Engineer is responsible for ensuring the accuracy, reliability, and quality of data systems, pipelines, and analytics platforms. They design and implement automated testing frameworks, validate data transformations, and work closely with data engineers, analysts, and product teams to guarantee that … Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...

support a large-scale central government data programme. This role focuses on building, optimising, and maintaining secure, cloud-based data pipelines to enable analytics, reporting, and insight across complex government environments. You'll work as part of a multidisciplinary data team alongside architects, analysts, and platform engineers, contributing … regulated environments Strong experience with AWS data services , including: Athena , Glue , and S3 Building and managing ETL/ELT pipelines Experience working with Azure data platforms (e.g. Azure Data Lake, Synapse, Data Factory) Strong SQL skills and experience working with large, complex datasets Understanding of data security ...

Architect to support the delivery of a high-profile central government data programme. This role focuses on designing secure, scalable data architectures to support analytics, reporting, and operational insight across complex government environments, with a strong emphasis on Microsoft technologies and cloud integration. This is a hands-on architecture … current and transferable Proven experience as a Data Architect within central government or regulated environments Strong knowledge of the Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview ...

delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams … Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing … data migration projects Strong capability in: Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable Experience with medallion architecture (bronze/silver/gold layers) Knowledge ...

embedding Power BI content within Power Apps, and working within the wider Power Platform (e.g. Power Automate for workflow triggering). Microsoft Fabric/Azure: Hands-on familiarity with Microsoft Fabric (or closely comparable Azure data platform experience, e.g. Synapse/Databricks with Spark notebooks ...

embedding Power BI content within Power Apps, and working within the wider Power Platform (e.g. Power Automate for workflow triggering). Microsoft Fabric/Azure: Hands-on familiarity with Microsoft Fabric (or closely comparable Azure data platform experience, e.g. Synapse/Databricks with Spark notebooks ...

embedding Power BI content within Power Apps, and working within the wider Power Platform (e.g. Power Automate for workflow triggering). Microsoft Fabric/Azure: Hands-on familiarity with Microsoft Fabric (or closely comparable Azure data platform experience, e.g. Synapse/Databricks with Spark notebooks ...

lineage tools Strong knowledge of data protection regulations (e.g. GDPR) and information assurance Experience defining and implementing data standards, policies, and controls Familiarity with Azure data environments (Data Lake, Synapse, etc.) Experience working with data owners, stewards, and governance forums Strong stakeholder management and communication skills Comfortable working ...