9 of 9 ETL Jobs in Kent

data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and

Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database

exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data

Data Engineer with hands-on experience in Microsoft cloud data platforms, Microsoft Fabric, or Azure-based technologies. Strong SQL skills and practical experience building ETL/ELT pipelines and scalable data models. Experience working with medallion-style architectures. A good understanding of data governance principles, documentation, and best practice. Someone

Data Engineer with hands-on experience in Microsoft cloud data platforms, Microsoft Fabric, or Azure-based technologies. Strong SQL skills and practical experience building ETL/ELT pipelines and scalable data models. Experience working with medallion-style architectures. A good understanding of data governance principles, documentation, and best practice. Someone

more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize

more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize

migration from on-prem to Azure , defining architecture, governance, and delivery best practices. Designing, developing, and optimising data pipelines, integration frameworks, and ETL processes in Azure. Building and maintaining scalable solutions using Azure Data Lake, Synapse, Data Factory, and Databricks . Establishing robust data governance, quality, and lineage frameworks across … . Direct experience migrating from on-premise environments to Azure , ideally within a regulated or financial services context. Deep technical knowledge of data architecture, ETL/ELT, and data modelling . Excellent coding skills in SQL and Python , with experience implementing DevOps for data and CI/CD. Strong leadership

bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a competitive salary of £120,000–£140,000 , plus … Kafka (essential). Extensive background in regulated industries (finance or banking preferred). Strong experience in large-scale data engineering projects , designing and developing ETL pipelines and leading cloud migration initiatives . Expertise in data migration from SQL Server to Azure Cloud Services .