Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Job Description & Summary: A career within….
Responsibilities:
Design and implement end-to-end data pipelines using ADF, ADB, and Microsoft Fabric.
Develop scalable ETL/ELT processes using PySpark and Databricks Notebooks.
Integrate data from various sources including on-premise and cloud-based systems.
Optimize data workflows for performance, scalability, and reliability.
Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
Monitor, troubleshoot, and enhance existing data pipelines and workflows.
Implement data governance, security, and compliance best practices.
Work in Agile/Scrum environments and participate in sprint planning and reviews.
Mandatory skill sets:
Azure Data Factory (ADF), Azure Databricks (ADB), Microsoft Fabric (Data Engineering & Data Factory experiences), PySpark and Spark SQL, Proficiency in SQL, Python, and data modeling, Experience with Delta Lake, Lakehouse architecture, and data lakes.
Preferred skill sets:
Azure Synapse Pipelines, Azure Stream Analytics, Azure Event Hubs and IoT Hub, Microsoft Purview (governance, lineage, catalog), Familiarity with CI/CD pipelines and DevOps practices in Azure, Understanding of data security, RBAC, and data lineage.
Years of experience required:
7 to 15 years
Education qualification:
Graduate Engineer or Management Graduate
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Data EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
July 7, 2026