Data Engineer -Specialized - Senior Associate - Operate

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  
  

• Design, develop, and maintain robust data pipelines and ETL processes using Teradata, IBM DataStage, and SSIS.
• Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical specifications.
• Implement data integration solutions and ensure data accuracy, consistency, and integrity.
• Develop and maintain data models and schemas in both on-premises and cloud environments, particularly with AWS.
• Utilize data visualization tools like Tableau and Spotfire to create insightful reports and dashboards.
• Optimize and enhance performance of data processing and storage systems.
• Ensure data security and compliance with relevant regulations and best practices.
  
  

• Bachelors degree in Computer Science, Information Systems, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in Teradata, IBM DataStage, and SSIS for ETL processes.
• Experience with AWS cloud services including but not limited to S3, Redshift, and Lambda.
• Strong skills in data visualization using Tableau and Spotfire.
• Solid understanding of SQL and relational databases.
• Familiarity with data warehousing concepts and best practices.
• Strong problem-solving and analytical skills.
  
  

• Experience working in an offshore or distributed team environment.
• Knowledge of additional programming languages such as Python or R.
• Experience with big data technologies like Hadoop or Spark.
• Familiarity with Agile methodologies and DevOps practices.
  
  

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Strong organizational and time-management skills.