Tax Innovation - Data Engineer - Manager

About the role

As a Tax Innovation – Data Engineer – Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. Within the Tax practice you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. You will develop and implement data pipelines, integration, and transformation solutions, lead teams, manage client accounts, and mentor junior staff. You will be accountable for project success, maintaining standards, and inspiring others to deliver quality while embracing technology and innovation.

Responsibilities

• Design and implement data infrastructure and systems for efficient data processing and analysis.
• Develop and manage data pipelines, integration, and transformation solutions to support client needs.
• Lead teams in strategic planning and execution of data engineering projects.
• Utilize Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions.
• Build and maintain data warehouses and data lakes to support business intelligence and analytics.
• Apply data modeling and dimensional modeling techniques to optimize data architecture.
• Oversee data quality, validation, and security within analytics frameworks.
• Encourage innovation and embrace change to improve data engineering practices.
• Mentor team members to develop their skills and enhance project delivery.
• Collaborate with stakeholders to identify opportunities for data‑driven business growth.

Requirements

• At least a Bachelor’s degree.
• At least 5 years of experience.

Preferred qualifications

• Preference for study in Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, or Operations/Supply Chain.
• Experience utilizing Azure Data Factory and Microsoft Azure Databricks for data engineering.
• Experience developing data architecture and data modeling strategies.
• Experience implementing Snowflake Data Warehouse and Snowflake Schema solutions.
• Strong strategic questioning and analytical thinking skills.
• Demonstrated ability to embrace change and innovation in data engineering projects.
• Experience mentoring teams in data integration and transformation techniques.

Pay

The salary range for this position is $99,000 – $266,000. Actual compensation within the range will depend on the individual’s skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits

PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more. View benefits at a glance.