6 of 6 Permanent Azure Synapse Analytics Jobs in Maidstone

seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge … model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models ...

techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine ...

This is a hands-on DataOps/Data Quality Engineer role with a strong focus on building data validation frameworks and automated testing for Azure-based data platforms. The role also includes DataOps responsibilities, ensuring reliable, observable, and well-governed pipeline operations across Fabric Data Factory, Azure Data … Factory and Synapse environments. Additionally, the engineer will take on Data Reliability Engineering (SRE) responsibilities. Key Responsibilities Build, maintain, or leverage open-source data validation frameworks to ensure data accuracy, schema integrity, and quality across ingestion and transformation pipelines Test and validate data pipelines and PySpark notebooks developed ...

projects. This role offers the opportunity to work on challenging and rewarding assignments where you will design and build scalable data platforms, pipelines and analytics solutions to support clients with their data-driven objectives. As a Senior Data Engineer, you will take ownership of end‐to‐end technical delivery … responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating dashboards and analytical outputs using Power BI to enable ...

transform data capabilities. About the Role The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security … performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high-quality, timely solutions. Mentor junior engineers and contribute to architectural decisions. Implement best practices ...

PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure DevOps, Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse Strong hands-on background in building ...