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Strong PwC brand, mid-level data engineer title, and broad skill requirements drive high competition.
Core data engineering skills transfer across industries, though consulting/managed-services experience is preferred.
Mandatory 6+ years, Senior Manager level and multiple required data engineering technologies increase strictness.
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Develop and implement innovative data engineering solutions to optimize client business performance and competitive advantage.
Build and maintain data pipelines, data architectures, and visualization tools to support advanced analytics and business intelligence efforts.
Lead, coach, and motivate teams to solve complex data problems, validating outcomes with clients and refining solutions based on feedback.
Bachelor's degree required.
Minimum 6 years of professional experience.
Experience with AWS data engineering, Redshift, DataStage, ETL, SQL Server, and DB2 explicitly mentioned.
Up to 60% travel required.
Background in Computer and Information Science, Economics, Engineering, or related quantitative fields preferred.
Advanced skills in data architecture, pipeline management, Python, Java, and business intelligence tools like QlikView and Oracle BI.
Proven ability to lead strategic stakeholder engagement, apply systems thinking, and manage teams through complex and ambiguous data challenges.