Data Engineering Manager

Description

& SummaryA career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Data Engineering team, you will create data pipelines and data structures utilizing modern data technology, engineering process, and languages. You will be responsible for helping organizations migrate and modernize data platforms in support of enterprise analytics, intelligent applications, and machine learning initiatives.

You will also be leading the implementation of data solutions using Azure Data Engineering tools. The ideal candidate will have a strong background in data engineering, database design, and data integration, with a focus on leveraging Azure's data engineering tools and platforms.

As a Manager, you'll work as part of a team of problem solvers, helping to solve 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 schema, tables, and relationships, using Azure data engineering tools. Leverage DE tools such as Azure Data Factory, Azure Databricks, to develop robust 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. Ensure data security and compliance with relevant data protection regulations, including encryption, access controls, and audit trails. Establish data quality standards and metrics to ensure data accuracy and timeliness. Plan and execute data migration from legacy systems to new data solutions. Develop and maintain a change control process to handle modifications to data solutions. Create comprehensive documentation for data engineering processes and guidelines. Collaborate with cross-functional teams, including data analysts, IT architects, and project managers, to ensure 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 or higher degree in Computer Science, Data Engineering, or a related field. Proven experience in data engineering, with a focus on Azure data engineering tools and platforms. Experience indata integration and ETL processes

Additional application instructions

Azure Data Engineering and other data engineering certification is a plus. Experience leading warehouse implementation is an added advantage.

Education

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications

Required Skills

Optional Skills

Desired Languages

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date