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Ernst & Young

Global professional services: consulting, assurance, tax

Technology Consulting - Data Engineer, AI & Data

Data EngineeringUpdated on Nov 14
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in data engineering, ETL development, or data analytics within the data and analytics domain.
  • Strong hands-on experience with one or more ETL or data-integration tools, such as Informatica, Microsoft SSIS, Talend, Kafka, or NiFi.
  • Proven experience leading end-to-end project delivery using Agile, SDLC, or hybrid methodologies.
  • Strong stakeholder-management skills, including engaging technical and non-technical audiences.
  • Excellent communication, documentation, and presentation capabilities.
  • Demonstrated experience in team leadership, coaching, and task delegation.
  • A bachelor's degree in Computer Science, IT, Business Analytics, or a related field.

Responsibilities

  • Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions.
  • Drive delivery excellence across projects, ensuring quality outcomes and alignment with client expectations.
  • Manage and mentor a team of data engineers and analysts, fostering a high-performance and collaborative culture.
  • Oversee the full project lifecycle, including strategy and roadmap development, solution architecture design, data engineering and implementation, deployment, and optimization.
  • Bridge business and technical teams by communicating insights effectively to both audiences.
  • Support business development efforts, including proposal development, client presentations, and solution positioning.
  • Stay abreast of emerging technologies and contribute to innovation within the AI & Data practice.

Desired Qualifications

  • Prior consulting experience, preferably in a professional services environment.
  • Experience leading client-facing engagements and managing multiple stakeholders.
  • Background in Business Intelligence, Data Warehousing, Big Data platforms, and Advanced Analytics solutions.
  • Exposure to cloud-based data platforms such as Azure, AWS, or GCP.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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