Azure Data Engineer - PD Outside IR35 - Remote

Position: Azure Data Engineer  - £250PD Outside IR35 - Remote
Data Engineer £250 Outside IR35 - Remote

Job Summary

We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on Microsoft Azure. The ideal candidate has strong hands-on experience with Azure Databricks and Azure Synapse Analytics, and is passionate about transforming raw data into reliable, high-quality datasets that support analytics, reporting, and advanced data use cases.

Key Responsibilities

Design, develop, and optimize end-to-end data pipelines using Azure services

Build and maintain scalable ETL/ELT workflows using Azure Databricks (PySpark/SQL)

Develop and manage data warehouses and analytics solutions using Azure Synapse Analytics

Ingest data from multiple sources (APIs, databases, files, streaming sources) into Azure data platforms

Implement data modeling, transformation, and validation to ensure data quality and reliability

Optimize performance, cost, and scalability of data pipelines and queries

Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions

Implement security, governance, and compliance best practices (RBAC, data masking, encryption)

Monitor, troubleshoot, and resolve pipeline and performance issues

Document data architecture, pipelines, and operational processes

Required Qualifications

3+ years of experience as a Data Engineer or in a similar role

Strong experience with Azure Databricks (PySpark, Spark SQL)

Hands-on experience with Azure Synapse Analytics (dedicated and/or serverless pools)

Solid understanding of data warehousing concepts and dimensional modeling

Proficiency in SQL and Python

Experience with Azure data services such as Azure Data Lake Storage (ADLS Gen2), Azure Data Factory, and Azure SQL

Familiarity with CI/CD pipelines and version control (Git, Azure Dev Ops)

Experience working in Agile/Scrum environments

Preferred Qualifications

Azure certifications (e.g., Azure Data Engineer Associate)

Experience with streaming technologies (Event Hubs, Kafka, or Spark Structured Streaming)

Knowledge of data governance tools (Purview, Unity Catalog)

Experience with Power BI or other BI/analytics tools

Exposure to Dev Ops, Infrastructure as Code (ARM, Bicep, or Terraform)

To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).

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