Senior Azure Data Engineer – Data & Analytics

About the role

At PwC, the Data & Analytics Engineering team is looking for a Senior Azure Data Engineer to design, build and maintain robust data solutions for clients. You will work in a fast‑paced environment, turning raw data into actionable insights and supporting business decisions.

Key responsibilities

• Design, develop and maintain data pipelines and ETL/ELT processes in Azure (Data Factory, Logic Apps, Synapse, Databricks).
• Write complex SQL queries, including CTEs, window functions and sub‑queries, for data extraction, analysis and transformation.
• Create and execute ad‑hoc INSERT, UPDATE and DELETE scripts in production relational databases while ensuring data integrity.
• Collaborate with analysts, product managers and stakeholders to fulfil one‑off data requests and generate insights.
• Document queries, data structures and scripts for transparency and repeatability.
• Partner with engineering teams to optimise database structures and improve data quality.

Required profile

• 5+ years of experience in data engineering, analytics or database administration.
• Strong proficiency in SQL and solid understanding of relational database systems.
• Basic proficiency in Python for maintaining existing ETL processes.
• Excellent problem‑solving, analytical and communication skills.
• Ability to work accurately in a fast‑paced environment.

Required skills

• SQL (CTEs, window functions, sub‑queries)
• Python
• Azure Data Factory
• Azure Logic Apps
• Azure Synapse
• Azure Databricks
• Relational database systems
• .NET (nice to have)
• Azure Application Insights (nice to have)