Managed Services - Data Engineer - Senior Associate

PwC US Consulting LLP is hiring a Senior Associate Data Engineer for managed services engagements. The role designs and builds data pipelines and infrastructure, translates business needs into data solutions, and supports clients through analysis, troubleshooting, recommendations, and guidance to junior team members.

Responsibilities

• Designing and building data pipelines, data integration flows, and transformation logic for managed services engagements
• Developing data infrastructure components across cloud-based platforms, data lakes, and warehouses
• Using AWS, Snowflake, Apache Airflow, and MySQL to support ingestion, orchestration, storage, and query performance
• Troubleshooting warehouse issues, validating data quality, and refining pipeline logic to improve reliability
• Translating business needs into data engineering solutions that support reporting, analytics, and decision-making
• Interpreting data patterns and technical findings to inform recommendations for clients and internal teams
• Reviewing assigned work from junior team members and providing guidance on technical tasks and deliverables
• Applying critical thinking to resolve complex data engineering problems and adapt approaches as project needs change

Preferred

• Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
• Demonstrating data engineering experience supporting client service engagements
• Utilizing AWS, Snowflake, Airflow, or MySQL in data pipelines
• Interpreting data quality, validation, and transformation needs
• Collaborating across teams while adapting to ambiguity
• Mentoring junior team members and reviewing work deliverables
• Data Science
• Business Administration
• Computer Science
• Information Systems
• Economics
• Finance
• Mathematics
• Statistics
• Operations
• Supply Chain
• Data Engineering
• Client Service Engagements
• AWS
• Snowflake
• Airflow
• MySQL
• Data Pipelines
• Data Quality
• Data Validation
• Data Transformation
• Cross-Team Collaboration
• Adaptability to Ambiguity
• Mentoring
• Work Review

Benefits

• Annual discretionary bonus
• Medical, dental, and vision benefits
• 401(k)
• Holiday pay
• Vacation
• Personal and family sick leave

Company

• Audit, assurance, tax, legal, deals, and consulting services
• London, England, GBR
• http://pwc.com/
• Founded in 1998
• 10001+ employees

Qualifications

• At least a Bachelor's degree
• At least 3 years of experience
• Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
• Demonstrating data engineering experience supporting client service engagements
• Utilizing AWS, Snowflake, Airflow, or MySQL in data pipelines
• Interpreting data quality, validation, and transformation needs
• Collaborating across teams while adapting to ambiguity
• Mentoring junior team members and reviewing work deliverables

Required skills

• AWS, Apache Airflow, Data Engineering, Data Integration, Data Pipelines, Data Quality Validation, Data Transformation, MySQL, Snowflake

Preferred skills

• Collaborating across teams while adapting to ambiguity

Experience

• 3+ years