Experienced Associate - Data Engineer

Kuala Lumpur Office, Malaysia

PwC

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Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Main Responsibilities

  • Involved in data management activities such as business and technical requirements gathering, data collections and ingestions, design data architecture, develop data pipelines and data model, as well as deploy and maintain/monitor performance of the pipelines.

  • Identify, implement, and maintain internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

  • Work with data from multiple systems of records so that the data can be used for reporting purposes, following best practice standards.

  • Global data platform application support including system enhancement/upgrade, change management, housekeeping, report generation etc and also user support

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

  • Apply a learning mindset and take ownership for your own development.

  • Appreciate diverse perspectives, needs, and feelings of others.

  • Adopt habits to sustain high performance and develop your potential.

  • Actively listen, ask questions to check understanding, and clearly express ideas.

  • Seek, reflect, act on, and give feedback.

  • Gather information from a range of sources to analyse facts and discern patterns.

  • Commit to understanding how the business works and building commercial awareness.

  • Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Requirements

Education

  • Bachelor degree in Information Technology / Computer Science from a recognised university.

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

Work experience

  • Experienced Associate with 1 - 2 years of relevant experience.

  • ETL developer with experience in these technical requirements:

1) Hands-on experience in Azure cloud services like Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Analytics Services (AAS), Azure Blob Storage, Azure Synapse, Azure ML, SSIS, SSMS and Azure Databricks.

2) Experience with SQL development, scripting and programming.

3) Hands-on experience with ETL tools not limited to Alteryx, Talend, Pentaho.

4) Familiar with visualization tools not limited to PowerBI, Tableau.

5) Familiar with the data science and statistical tools such as Python, R.

6) Familiar with Enterprise Data Management (EDM) tools not limited to Azure Purview, EA Sparx, Informatica and/or IBM Sphere.

Good to have skills

  • DAX for PowerBI.

  • PowerShell for extension and automation of ADF.

  • Hands-on experience with Enterprise Data Warehousing (EDW), Data Lake or Data Platform will be an added advantage.

  • Hands-on experience with public and private Cloud such as AWS, GCP, Alicloud, Cloudera.

Soft skills

  • Project management, communication and analytical skills.

  • Team player with good interpersonal and problem-solving abilities.

  • Passionate about learning emerging technologies.

  • Results oriented with an agile mindset.

  • Able to communicate effectively in verbal and written English Language with confidence.

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, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

October 31, 2025

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Business Intelligence Computer Science Data analysis Data Analytics Databricks Data management Data pipelines Data quality Data visualization Data Warehousing Engineering ETL GCP Informatica Java Machine Learning Pentaho Pipelines Power BI Python R SQL SSIS Statistics Tableau Talend

Perks/benefits: Career development Team events

Region: Asia/Pacific
Country: Malaysia

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