Senior Data Engineer – SnapLogic & Databricks

About the role

At PwC, the Data & Analytics team helps clients turn data into actionable insights. As a Senior Data Engineer you will design, build and maintain scalable data integration pipelines and support advanced analytics initiatives.

Key responsibilities

• Design, build and maintain data integration and ETL pipelines using SnapLogic.
• Develop and optimise complex SQL queries for analytics and reporting.
• Work with structured and unstructured data in large‑scale data warehouse environments.
• Leverage Databricks for advanced data processing, transformation and analytics.
• Collaborate with data analysts, data scientists and business stakeholders to gather requirements.
• Ensure data quality, integrity and governance across platforms.
• Create documentation for data workflows, architecture and processes.
• Participate in code reviews and promote best practices in data engineering.

Required profile

• 3+ years of hands‑on experience in data engineering, including SnapLogic, SQL and Databricks.
• BE/B.Tech/MBA/MCA or equivalent degree.

Required skills

• SnapLogic for data integration.
• Advanced SQL query development.
• Databricks for data processing and analytics.
• ETL pipeline design and implementation.
• SAP Analytics Cloud (SAC) data modelling and dashboard creation.
• Experience with SAP HANA, SAP BW and S/4HANA.
• Python scripting (preferred).