Data and Insights Engineer

This role requires data engineering capability, with most work focused on back-end data pipeline development and downstream analytics delivery. It will also require considerable relationship building skills and some stakeholder management.

• Partner with stakeholder teams to understand reporting and analytics needs, identifying opportunities to streamline data flows and enhance insight quality.
• Design, build, and maintain scalable and reusable data pipelines in Databricks using Python (PySpark) and SQL, transforming raw data from multiple sources into trusted, analytics-ready datasets.
• Continuously enhance the platform by automating, standardising, and optimising existing data processes.
• Identify and implement process improvements across multiple reporting and analytics functions.
• Transition existing reporting solutions into sustainable, automated frameworks within Databricks and Power BI.

Do you have experience in SQL?, * you have practical experience in data engineering or analytics, ideally within a professional or enterprise environment.

• you have considerable working knowledge of Databricks or other data integration and transformation platforms -developing and optimising data pipelines using Python (PySpark) and/or SQL.
• you have experience with data transformation and visualisation tools (e.g. Power BI, Alteryx) to deliver high-quality insights.
• you have ample problem-solving and analytical skills, with the ability to diagnose and resolve complex data issues.
• you demonstrate excellent communication skills, particularly when troubleshooting complex problems or explaining data concepts.
• you have experience or an understanding of deploying modern AI/ML solutions into production (preferred not essential).
• you have experience of coaching/mentoring others

PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.