Databricks Engineer
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Role details
Tech stack
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Job description
We are seeking an experienced Senior Databricks Engineer to join a high-profile client project. This is an excellent opportunity for a skilled data engineering professional with strong expertise in Azure technologies and Microsoft Fabric to design and deliver modern cloud-based data platforms.
Working as part of an experienced delivery team, you will build scalable, high-performance data solutions that support business intelligence, analytics, and enterprise reporting., * Design, develop, and maintain enterprise-scale data pipelines using Azure Databricks.
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Build robust ETL/ELT solutions using Azure Data Factory and Microsoft Fabric.
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Develop high-performance data processing solutions using Python, PySpark, and SQL.
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Implement Delta Lake and Lakehouse architectures following industry best practices.
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Work with Azure Data Lake Storage (ADLS Gen2) to manage large-scale datasets.
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Optimise Spark workloads for performance, scalability, and cost efficiency.
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Design and implement data models to support reporting and analytics.
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Integrate datasets with Power BI for business reporting and visualisation.
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Implement CI/CD pipelines using Azure DevOps and Git.
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Collaborate with architects, business analysts, and stakeholders to deliver technical solutions.
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Troubleshoot production issues and continuously improve platform performance.
Requirements
Why Join Us?
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Outside IR35 contract
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Opportunity to work on enterprise-scale Azure data projects
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Flexible remote/hybrid working
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Latest Microsoft Azure and Fabric technologies
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Collaborative and supportive delivery team
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