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Builds and maintains Azure data pipelines, Synapse analytics, and Power BI reports to transform raw data into business insights.
Build and maintain ETL pipelines in Azure Synapse using Python to move and transform data for client projects.
Design and implement enterprise-grade data platforms on Azure for an insurance company, focusing on scalable modeling, governance, and analytics using Synapse, Databricks, Power BI, and Azure ML.
Designs and implements enterprise-scale data platforms on Azure, focusing on insurance data models, semantic layers, and regulatory compliance while leading modernization and governance initiatives.
Design and govern enterprise-wide data architecture for a healthcare innovation hub, applying TOGAF and DAMA-DMBOK to enable scalable data platforms, advanced analytics, and AI initiatives.
Builds and optimizes SQL data models and pipelines using Microsoft Fabric, Azure Synapse, and Power BI to power reliable, fast reports and dashboards.
Build and optimize SQL pipelines, models, and queries to ensure reliable, fast, and well-structured data for reports and analytics using Microsoft Fabric, Azure Synapse, and Power BI.
Design and build Azure-based data pipelines and lakes for Big Data projects, transforming raw data into clean, analytics-ready formats for downstream ML and reporting.
Data Engineer £54-59,000 + bonus Hybrid Working – 1 day on-site per week West Midlands based I'm recruiting for a Data Engineer to join an established data team, working on the development and improvement across…
Designs and maintains Azure Synapse ETL pipelines using PySpark to move and transform data for analytics and reporting.
Designs and builds scalable data pipelines and analytics platforms on Azure Databricks, Synapse Analytics, and Microsoft Fabric to power enterprise reporting and AI/ML workloads.
Design and maintain Azure-based cloud and data architectures, focusing on performance, security, and cost optimization for enterprise environments.
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and lakes using Azure tools, Python, and Spark to power analytics and reporting for a hybrid team.
Build and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and PySpark to power analytics and reporting for a client’s digital products.
Designs and maintains secure, scalable data pipelines on Azure to ingest and transform regulatory data into analytics-ready datasets for compliance and decision-making.
Builds secure, scalable Azure data pipelines and platforms for government analytics, using Databricks, Synapse, and Python to ensure trusted, compliant data access.
Build and maintain Azure Synapse-based data pipelines, integrate third-party systems, and design optimized data models for analytics and reporting.
Builds and optimizes data pipelines using Python, Apache Spark, and Azure tools to process and transform large datasets efficiently.
Builds and optimizes data pipelines using Apache Spark (Databricks/Azure Synapse), Python, Pandas/Polars, and Parquet/Delta Tables for reliable analytics workloads.
Builds and maintains ETL pipelines in Azure Synapse using PySpark to move data from APIs, SQL, and files into analytics-ready warehouses for reporting and modeling.
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