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Data Engineer
Job Title: Data Engineer (Databricks & Power Platform Automate)
Location: London ideally but open to Birmingham, Manchester or Newcastle
Duration: 6+ months contract
Overview:
We are looking for a skilled Data Engineer with expertise in Databricks and Microsoft Power Platform Automate engines to design, build, and optimize data workflows and automation solutions.
Key Responsibilities:
• Develop, implement, and maintain data pipelines using Databricks (Apache Spark, Delta Lake, MLflow).
• Design and optimize ETL/ELT workflows to process large datasets efficiently.
• Automate data processing and integration tasks using Power Automate, Power Apps, and Power BI.
• Work with Azure Data Services (Azure Data Lake, Synapse Analytics, Data Factory, Azure SQL) to manage data storage and processing.
• Create low-code automation workflows to enhance data accessibility and business process efficiency.
• Implement API integrations and Power Automate connectors to link various data sources.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Collaborate with data analysts, business stakeholders, and software teams to enable self-service analytics and reporting.
• Stay updated on emerging trends in Databricks, Power Platform, and cloud automation technologies.
Required Skills & Qualifications:
• 3+ years of experience in data engineering, ETL development, or cloud data processing.
• Strong knowledge of Power Automate and Power Apps for workflow automation and process optimization.
• Experience with Azure Data Services (Data Lake, Synapse, Azure SQL, Data Factory).
• Proficiency in SQL and Python for data transformation and automation.
• Hands-on experience with API integration, REST services, and Power Platform connectors.
• Strong analytical and problem-solving skills, with the ability to work independently or in a team.
Priyanka Sharma
Senior Delivery Consultant
Office: 02033759240
Email: psharma@vallumassociates.com