AC Manila - Cloud Data Engineer Associate

Job 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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Job Description

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 Firm's code of conduct, and independence requirements.
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Analytics & Insights Managed Services team you will empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. As a Senior Associate, you will take ownership of complex data solutions, drive innovative practices, and mentor junior teammates across the entire data lifecycle. This position provides an opportunity to have a voice in designing, building, and operating the next generation of software and services, making a significant impact on business performance.

Responsibilities

• Take ownership of intricate data solutions
• Drive leading practices across the entire data lifecycle
• Mentor junior team members to enhance their skills
• Collaborate on the design and implementation of innovative software and services
• Contribute to improving business performance through analytics
• Engage in continuous learning and skill development
• Foster a culture of collaboration and knowledge sharing
• Analyze data to derive actionable insights
  
  

What You Must Have

• Bachelor's Degree in computer science, Data Engineering, Information Systems, or a related technical field
• 1 to 3 years of hands-on experience designing, building, and operating data platforms and pipelines
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Advanced skills in data pipeline development
• Experience architecting scalable ETL/ELT workflows
• Proficiency in big data and streaming ecosystems
• Knowledge of cloud and hybrid infrastructure deployment
• Skills in data modeling and warehousing
• Experience with DevOps and automation practices
• Understanding of data governance and quality assurance
• Ability to mentor and lead junior engineers