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# Azure Data Engineer

- **Company:** Infinity Quest
- **Location:** UK
- **Salary:** £47,522.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Continuous Integration, Data Validation, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Key Management, Standard Sql, Azure Data Lake, SQL Databases, Data Processing, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, Deployment Automation, Restful APIs, Stream Processing, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5935773151

## About the Role

Azure Services

 * Azure Databricks
 * Azure Data Factory (ADF)
 * Azure Data Lake Storage Gen2 (ADLS)
 * Azure Synapse Analytics
 * Azure Key Vault
 * Azure Monitor

Technical Skills

 * PySpark (Mandatory)
 * Apache Spark
 * Python
 * SQL
 * Delta Lake
 * Data Modeling
 * ETL/ELT Development
 * REST APIs
 * Git/Azure DevOps

## Description

We are seeking an experienced Azure Databricks Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have expertise in Databricks, Spark, Azure Data Services, ETL/ELT development, and data warehousing concepts., * Design, develop, and optimize data pipelines using Azure Databricks and Apache Spark.

 * Build and maintain ETL/ELT processes for ingesting data from multiple sources.
 * Develop scalable batch and real-time data processing solutions.
 * Work with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.
 * Implement Delta Lake architecture for reliable and high-performance data processing.
 * Create and optimize Spark jobs using PySpark, Scala, or SQL.
 * Monitor, troubleshoot, and improve data pipeline performance.
 * Implement data quality checks, governance, and security best practices.
 * Collaborate with business stakeholders, data analysts, and architects to understand requirements.
 * Support CI/CD implementation and deployment automation.