Manager of Data Engineering

Service Line

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to assist organizations in discovering enterprise insights and delivering business results through smarter data analytics. We concentrate on a group of organizational technology abilities, such as business intelligence, data management, and data assurance that assist our clients in fostering innovation, expansion, and transformation within their organizations to keep up with the evolving nature of customers and technology. We make substantial decisions by combining mind and machine to leverage data, comprehend and navigate risk, and help our clients obtain a competitive advantage. As a member of our Data Engineering team, you will develop data pipelines and data structures using modern data technology, engineering procedures, and languages. You'll be responsible for helping organizations migrate and modernize data platforms for enterprise analytics, intelligent applications, and machine learning initiatives. You will also be at the forefront of implementing data solutions using Azure Data Engineering tools. The ideal candidate will boast a strong background in data engineering, database design, and data integration, with a focus on utilizing Azure's data engineering tools and platforms. As a Manager, you'll collaborate as part of a team of problem solvers, aiding in the resolution of complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Design and implement data solutions, including database schemas, tables, and relationships, using Azure data engineering tools.
• Utilize DE tools like Azure Data Factory, Azure Databricks, to develop sturdy data pipelines for data collection, transformation, and storage.
• Integrate data from various sources into data solutions, ensuring data accuracy and completeness.
• data Validation and Verification: Implement data validation and verification processes to maintain data quality.
• Guarantee data security and compliance with applicable data protection regulations, including encryption, access controls, and audit trails.
• Set data quality standards and metrics to ensure data accuracy and timeliness.
• Plan and execute data migration from old systems to new data solutions.
• Develop and maintain a change control process to manage modifications to data solutions.
• Generate comprehensive documentation for data engineering processes and guidelines.
• Collaborate with cross-functional teams, including data analysts, IT architects, and project managers, to guarantee the success of data solutions.

Preferred skills

• Strong knowledge of database design, data modeling, and SQL.
• Knowledge of data security and compliance standards, including GDPR and other relevant regulations.
• Proficiency in programming languages such as Python, Java, or Scala.

Minimum years experience required

• Bachelor's degree or higher in Computer Science, Data Engineering, or a related field.
• Demonstrated experience in data engineering, with a focus on Azure data engineering tools and platforms.
• Experience in data integration and ETL processes

Additional application instructions

• Certification in Azure Data Engineering and other data engineering standards is a plus.