Senior Data Engineer

We believe that challenges are best solved together. That’s why, when you join us, you become part of a diverse and global community of problem-solvers. You'll find an unexpected mix of people who bring their unique expertise to build trust in society and tackle important issues. Here, we welcome and encourage you to lead with value and inspiration, question and challenge assumptions, as well as embrace new opportunities to deliver quality outcomes in exciting and unexpected ways, all with the support of technology.

We bring together an innovative and diverse community of expert problem-solvers to address the risks and challenges faced by our clients. We develop sophisticated digital solutions that elevate businesses through cutting-edge technologies such as Generative AI, robust data management, advanced analytics, and process automation, complemented by initiatives like ERP implementation and operational model design and assessment, all underpinned by effective business strategy.

As a Senior Associate, you will work with a team of problem solvers and Subject Matter Experts, 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 :

• Foundational Knowledge of Technology : Demonstrates a foundational knowledge of technology concepts and applications and how they can be applied to solve real-world problems.
• Problem Solving and Analytical Skills : Leverage strong analytical and problem-solving skills to address complex business challenges, validate and interpret data, and provide insightful recommendations that drive strategic and executional decisions.
• Client Relationship Management : Build and maintain strong, trusted relationships with clients, acting as a trusted advisor.
• Team Collaboration : Collaborate effectively within diverse teams and with external stakeholders.
• Communication Skills : Exhibit clear and persuasive communication skills, both verbally and in writing.
• Professionalism and Integrity : Uphold high standards of professional conduct and demonstrate integrity in all interactions.
• Continuous Learning and Adaptability : Embrace a growth mindset and demonstrate a commitment to continuous learning.

About you : We recognise that our ideal candidate may come from a diverse range of backgrounds and experiences. Possessing majority of the qualifications below are desired, but not mandatory.

Data : Demonstrates a foundational understanding of data structures, database systems, and data processing techniques.

Analytics : Showcases a solid grasp of analytical methods, Large Language Models, machine learning algorithms, and the use of automation tools to derive insights and streamline processes.

Technologies : Exhibits familiarity with cutting-edge emerging technologies and their practical applications in various domains.

Relevant certification in data engineering and data science not limited to AWS Data Engineer, AWS Solution Architect, Microsoft Azure Fundamentals, Microsoft Azure Data Engineer, Microsoft Azure Data Scientist etc.

Strong analytical and problem-solving capabilities, with the ability to work comfortably with large, complex data sets.

Strong project management capabilities, including the ability to prioritize and manage multiple tasks.

Expertise in business consultancy and advisory, including experience in process mapping, analysis, and risk management.

Excellent communication and presentation skills, both oral and written.

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