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Data Engineer

This role is for a Data Engineer with 3+ years of experience in ETL development, specializing in Databricks and Microsoft Power Platform Automate. The 6+ month contract is hybrid, based in London, with a pay rate of "£X per day."
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Databricks #Azure SQL #REST services #Spark (Apache Spark) #Synapse #Datasets #SQL (Structured Query Language) #Storage #Microsoft Power BI #Data Storage #Data Pipeline #Azure #Data Processing #REST (Representational State Transfer) #Automation #Python #Delta Lake #Consul #MLflow #BI (Business Intelligence) #Data Engineering #Cloud #Data Access #Data Lake #Apache Spark #Data Analysis #Power Automate
Role description
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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