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Closed on August 6, 2026.
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Managed Services - Senior Data Engineer - Manager
Manager
Senior
Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Datastage
ETL
Managed Services
Reporting and Analytics
SQL
Team Lead
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Job Description
In a senior data engineering role within PwC's Managed Services, this position combines technical leadership with managerial responsibilities to drive data initiatives, mentor teams, and nurture client relationships while delivering analytics-driven solutions that enhance business performance.
Responsibilities
- Lead data engineering initiatives to extract strategic insights and boost business performance, including ETL and ELT integration.
- Design and implement innovative data solutions employing advanced analytics techniques, with experience in DataStage.
- Manage and mentor project teams to develop their skills and deliver high-quality services, including pipeline architecture.
- Utilize business intelligence tools and cloud-based analytics platforms to advance data-driven decision making, leveraging AWS and Redshift.
- Construct and maintain data pipelines and architectures that support analytics programs, using DB2 and SQL Server.
- Collaborate with stakeholders to identify opportunities for data utilization and process improvements, including GoldenGate and CDC.
- Oversee the deployment of scalable data visualization and reporting solutions with attention to performance tuning.
- Promote the adoption of new technologies and methodologies within data and analytics teams, including S3 and Glue.
- Address and resolve conflicts or issues with clients and team members, escalating when necessary.
- Uphold professional and technical standards in line with the firm’s code of conduct and independence requirements.
Requirements
- Bachelor's degree
- Minimum of 4 years of relevant experience
Technologies
- DataStage
- AWS
- Redshift
- DB2
- SQL Server
- GoldenGate
- CDC
- S3
- Glue
- BIRT
- Python
- Java
- QlikView
- Spotfire
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
What Sets You Apart
- Academic background in one of the following fields: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management or Research; Statistics; Engineering
- Demonstrated proficiency with Business Intelligence and Reporting Tools, notably BIRT
- Experience using Python and Java for data engineering tasks
- Strong capabilities in data visualization with QlikView and Spotfire
- Experience developing data architectures and pipeline strategies
- Commitment to continuous process improvement in data analytics
- Proven ability to lead teams in data driven decision making
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