9 of 9 Contract Databricks Jobs in the Midlands

team members, fostering a strong data culture. Your Profile Essential Skills/Knowledge/Experience Extensive Knowledge Cloud data platforms: Microsoft Fabric, Snowflake, Azure, Databricks Data integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance Power BI, Azure ...

decision making Essential Skills and Experience Extensive experience in data architecture and data engineering at enterprise scale Cloud data platforms Microsoft Fabric, Snowflake, Azure, Databricks Data integration ETL ELT CDC streaming APIs and messaging Advanced data modelling relational dimensional and NoSQL Data governance, security, RBAC, privacy, and compliance Power ...

Skills Strong SQL skills and experience working with Azure-hosted datasets Power BI reporting/dashboards creation Python experience Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial If this is a role that suits your skill set, you are immediatley available and can work 3 days ...

trusted advisor to senior stakeholders Essential Skills & Experience Strong background in Data Architecture and Cloud Data Platforms Hands-on experience with Snowflake, Azure, Databricks and/or Microsoft Fabric Data integration, ETL/ELT, APIs, streaming technologies Data modelling (relational, dimensional, NoSQL) Data governance, security, GDPR and compliance frameworks Experience ...

developing ETL/ELT pipelines using PySpark and Python Hands-on experience with Microsoft Fabric lakehouse or similar cloud data platforms (Azure Synapse Analytics, Databricks) Proficiency in working with Jupyter/Fabric Notebooks for data engineering workflows Solid understanding of data lakehouse architecture patterns and medallion architecture Experience working with ...

pipelines, supporting real-time integrations, and enabling analytics-ready datasets across the business. This is a hands-on engineering role requiring strong experience across Databricks, Python, and modern cloud data environments, as well as the ability to work across multiple third-party systems and stakeholders. KEY RESPONSIBILITIES Design, build … optimise real-time and batch data ingestion pipelines. Implement best practice data engineering and architecture across Databricks and Azure. Support migration and consolidation of data from multiple legacy systems into a new platform ecosystem. Cleanse, merge, and deduplicate complex customer and transactional datasets. Integrate data across multiple sources including ...

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing ...

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing … their Nottingham office every two weeks, this is negotiable. It is a full-time role. Accountabilities: Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. Build and manage an enterprise data model within Databricks. Integrate new data sources into the platform using ...

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing … their Nottingham office every two weeks, this is negotiable. It is a full-time role. Accountabilities: Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. Build and manage an enterprise data model within Databricks. Integrate new data sources into the platform using ...