Graduate Industry Traineeship – Data Engineer, 6 months at pwc

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Azure Data Bricks, MS Fabric, Data Architectures, Data Warehousing, Data Quality, Data Integrity, Data Security, Database Performance, Python, C# .Net, T-SQL, Data Governance, Metadata Management, ETL, ELT, Data Modeling

Industry

Professional Services

Description

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Intern/Trainee Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com. Our Firmwide Corporate Services unite to help build our competitive advantage with first class support internally. Spanning Administration, Business Development, Chairman’s Office, Compliance, Finance, Human Resources, Learning and Development, Legal, Marketing and Communications, Operations and Change Management, and Technology, we power our lines of services to make sure all of us have the right sources, services and technology to be the best we can be. Not all of us work directly with external clients. Some of our most talented people choose to harness their skills, experience, expertise and service excellence within PwC. The possibilities are endless and our business landscape is changing everyday. How will you value-add? Design, develop, and maintain robust ETL/ELT pipelines using tools like Azure Data Factory, Azure Data Bricks and MS Fabric. Build and optimize Data Architectures (Data lakes, Data warehouses) on Azure Data Services, Azure SQL PaaS and Power BI Collaborate with data analysts, and business stakeholders to understand data requirements. Ensure data quality, integrity, and security across all data systems along with authentication and authorizations for Database. Monitor and troubleshoot data pipeline performance and reliability. Implement best practices for data governance, metadata management, and documentation. Memory management for database systems. Develop database schemas, tables and dictionaries. Ensure the data quality and integrity in databases and fix any issues related to database performance and provide corrective measures. Work with structured and unstructured data from various sources (APIs, databases, flat files, etc.). About you Bachelor’s degree in Computer Science, Information Technology, or related field Graduated in 2024 to 2025 from Universities, Polytechnics, Institutes of Technical Education (ITE), or other Educational Institutions (e.g. private universities and overseas institutions) Graduated earlier from above institutions and completed National Service in 2024 or 2025 Candidates who complete their studies from Universities, Polytechnics, Institutes of Technical Education (ITE) or other Educational Institutions within 2025 but will only receive their qualification/certification award in 2026 are welcome to apply Good to have Azure Data Engineer certificate Familiarity in MS SQL T-SQL and programming languages such as Python or C# .Net. Familiarity with data pipeline orchestration tool Azure Data Factory or Azure Data Bricks. Familiarity with cloud data platforms MS Fabric. Strong understanding of data modeling and warehousing concepts Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Ansible (Open-Source Tool for Software Provisioning, Configuring, and Deployment), AWS CloudFormation, Azure DevOps Server, Bicep, Cloud Infrastructure, Communication, Continuous Deployment, Continuous Integration (CI), CrowdStrike, Cybersecurity, Deployment Management, Dynatrace APM, Emotional Regulation, Empathy, GitHub (Version Control Platform), GitLab (DevOps Tool), Google Cloud Platform, Incident Remediation, Inclusion, Infrastructure as a Service (IaaS), Intellectual Curiosity, Jenkins (Software) {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines and optimize data architectures on Azure. Collaborate with data analysts and business stakeholders to ensure data quality, integrity, and security across all data systems.