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Technology Consulting - AI & Data (Experienced Hire)

EY

Software and Technology Jobs

Technology Consulting - AI & Data (Experienced Hire)

full-timePosted: Nov 7, 2025

Job Description

About Us
EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industries. We drive data-driven transformation by implementing modern data management practices and frameworks to enhance data value and reusability.

 

Your Role
We are looking for talented individuals to join our growing team in various capacities, including Data Engineer, Solution Architect, and Project Manager. You will play a key role in designing, developing, and implementing data solutions that align with business needs and technology strategies. Depending on your expertise, you will focus on solution architecture, data engineering, or project management within our data transformation initiatives.

 

Key Responsibilities

  • Design, develop, and implement scalable data solutions that meet business requirements.

  • Drive solution architecture design, evaluation, selection, and buy vs. build decisions.

  • Develop and manage cloud-based data platforms (Azure, AWS, GCP) and oversee data engineering pipelines.

  • Lead teams in implementing data solutions, ensuring best practices in data governance, quality, and security.

  • Collaborate with stakeholders (business analysts, data scientists, engineers) to ensure alignment with business objectives.

  • Manage projects from inception to completion, ensuring timely delivery and effective stakeholder communication.

  • Provide technical leadership and mentoring to junior team members.

 

Skills & Attributes for Success

  • Strong experience in cloud architecture and data platforms (Azure, AWS, GCP).

  • Hands-on expertise in data engineering, including data pipelines, ETL/ELT, and real-time data processing.

  • Strong data modeling and architecture knowledge, including data warehousing and data lakes.

  • Proficiency in tools such as Databricks, Snowflake, Talend, Denodo, or similar technologies.

  • Ability to work with both technical and non-technical stakeholders.

  • Strong analytical, problem-solving, and leadership skills.

  • Excellent communication and collaboration abilities.

 

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

  • Relevant experience in Data Engineering, Solution Architecture, or Project Management.

  • Experience in leading data transformation projects and working with large-scale enterprise data architectures.

  • Consulting experience is a plus.

 

What We Offer
EY offers a competitive remuneration package based on experience, with opportunities for career growth and professional development. Our flexible working arrangements support work-life balance, and our inclusive culture fosters a collaborative and innovative work environment.

  • Continuous learning: Access to training and development programs to stay ahead in the industry.

  • Career growth: Opportunities for advancement and leadership roles.

  • Transformative leadership: Work with industry leaders and gain valuable mentorship.

  • Diverse and inclusive culture: Be part of a team that values diversity and innovation.

 

If you are passionate about data and technology and want to be part of a dynamic and forward-thinking team, we would love to hear from you.

 

The exceptional EY experience. It’s yours to build.

 

Locations

  • Kuala Lumpur, Federal Territory of Kuala Lumpur, MY, 50490
  • Kuala Lumpur, Fede, MY 50490

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Strong experience in cloud architecture and data platforms (Azure, AWS, GCP)intermediate
  • Hands-on expertise in data engineering, including data pipelines, ETL/ELT, and real-time data processingintermediate
  • Strong data modeling and architecture knowledge, including data warehousing and data lakesintermediate
  • Proficiency in tools such as Databricks, Snowflake, Talend, Denodo, or similar technologiesintermediate
  • Ability to work with both technical and non-technical stakeholdersintermediate
  • Strong analytical, problem-solving, and leadership skillsintermediate
  • Excellent communication and collaboration abilitiesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (experience)
  • Relevant experience in Data Engineering, Solution Architecture, or Project Management (experience)
  • Experience in leading data transformation projects and working with large-scale enterprise data architectures (experience)

Preferred Qualifications

  • Consulting experience is a plus (experience)

Responsibilities

  • Design, develop, and implement scalable data solutions that meet business requirements
  • Drive solution architecture design, evaluation, selection, and buy vs. build decisions
  • Develop and manage cloud-based data platforms (Azure, AWS, GCP) and oversee data engineering pipelines
  • Lead teams in implementing data solutions, ensuring best practices in data governance, quality, and security
  • Collaborate with stakeholders (business analysts, data scientists, engineers) to ensure alignment with business objectives
  • Manage projects from inception to completion, ensuring timely delivery and effective stakeholder communication
  • Provide technical leadership and mentoring to junior team members

Benefits

  • general: Competitive remuneration package based on experience
  • general: Opportunities for career growth and professional development
  • general: Flexible working arrangements to support work-life balance
  • general: Inclusive culture that fosters a collaborative and innovative work environment
  • general: Continuous learning: Access to training and development programs to stay ahead in the industry
  • general: Career growth: Opportunities for advancement and leadership roles
  • general: Transformative leadership: Work with industry leaders and gain valuable mentorship
  • general: Diverse and inclusive culture: Be part of a team that values diversity and innovation

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EY logo

Technology Consulting - AI & Data (Experienced Hire)

EY

Software and Technology Jobs

Technology Consulting - AI & Data (Experienced Hire)

full-timePosted: Nov 7, 2025

Job Description

About Us
EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industries. We drive data-driven transformation by implementing modern data management practices and frameworks to enhance data value and reusability.

 

Your Role
We are looking for talented individuals to join our growing team in various capacities, including Data Engineer, Solution Architect, and Project Manager. You will play a key role in designing, developing, and implementing data solutions that align with business needs and technology strategies. Depending on your expertise, you will focus on solution architecture, data engineering, or project management within our data transformation initiatives.

 

Key Responsibilities

  • Design, develop, and implement scalable data solutions that meet business requirements.

  • Drive solution architecture design, evaluation, selection, and buy vs. build decisions.

  • Develop and manage cloud-based data platforms (Azure, AWS, GCP) and oversee data engineering pipelines.

  • Lead teams in implementing data solutions, ensuring best practices in data governance, quality, and security.

  • Collaborate with stakeholders (business analysts, data scientists, engineers) to ensure alignment with business objectives.

  • Manage projects from inception to completion, ensuring timely delivery and effective stakeholder communication.

  • Provide technical leadership and mentoring to junior team members.

 

Skills & Attributes for Success

  • Strong experience in cloud architecture and data platforms (Azure, AWS, GCP).

  • Hands-on expertise in data engineering, including data pipelines, ETL/ELT, and real-time data processing.

  • Strong data modeling and architecture knowledge, including data warehousing and data lakes.

  • Proficiency in tools such as Databricks, Snowflake, Talend, Denodo, or similar technologies.

  • Ability to work with both technical and non-technical stakeholders.

  • Strong analytical, problem-solving, and leadership skills.

  • Excellent communication and collaboration abilities.

 

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

  • Relevant experience in Data Engineering, Solution Architecture, or Project Management.

  • Experience in leading data transformation projects and working with large-scale enterprise data architectures.

  • Consulting experience is a plus.

 

What We Offer
EY offers a competitive remuneration package based on experience, with opportunities for career growth and professional development. Our flexible working arrangements support work-life balance, and our inclusive culture fosters a collaborative and innovative work environment.

  • Continuous learning: Access to training and development programs to stay ahead in the industry.

  • Career growth: Opportunities for advancement and leadership roles.

  • Transformative leadership: Work with industry leaders and gain valuable mentorship.

  • Diverse and inclusive culture: Be part of a team that values diversity and innovation.

 

If you are passionate about data and technology and want to be part of a dynamic and forward-thinking team, we would love to hear from you.

 

The exceptional EY experience. It’s yours to build.

 

Locations

  • Kuala Lumpur, Federal Territory of Kuala Lumpur, MY, 50490
  • Kuala Lumpur, Fede, MY 50490

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Strong experience in cloud architecture and data platforms (Azure, AWS, GCP)intermediate
  • Hands-on expertise in data engineering, including data pipelines, ETL/ELT, and real-time data processingintermediate
  • Strong data modeling and architecture knowledge, including data warehousing and data lakesintermediate
  • Proficiency in tools such as Databricks, Snowflake, Talend, Denodo, or similar technologiesintermediate
  • Ability to work with both technical and non-technical stakeholdersintermediate
  • Strong analytical, problem-solving, and leadership skillsintermediate
  • Excellent communication and collaboration abilitiesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (experience)
  • Relevant experience in Data Engineering, Solution Architecture, or Project Management (experience)
  • Experience in leading data transformation projects and working with large-scale enterprise data architectures (experience)

Preferred Qualifications

  • Consulting experience is a plus (experience)

Responsibilities

  • Design, develop, and implement scalable data solutions that meet business requirements
  • Drive solution architecture design, evaluation, selection, and buy vs. build decisions
  • Develop and manage cloud-based data platforms (Azure, AWS, GCP) and oversee data engineering pipelines
  • Lead teams in implementing data solutions, ensuring best practices in data governance, quality, and security
  • Collaborate with stakeholders (business analysts, data scientists, engineers) to ensure alignment with business objectives
  • Manage projects from inception to completion, ensuring timely delivery and effective stakeholder communication
  • Provide technical leadership and mentoring to junior team members

Benefits

  • general: Competitive remuneration package based on experience
  • general: Opportunities for career growth and professional development
  • general: Flexible working arrangements to support work-life balance
  • general: Inclusive culture that fosters a collaborative and innovative work environment
  • general: Continuous learning: Access to training and development programs to stay ahead in the industry
  • general: Career growth: Opportunities for advancement and leadership roles
  • general: Transformative leadership: Work with industry leaders and gain valuable mentorship
  • general: Diverse and inclusive culture: Be part of a team that values diversity and innovation

Target Your Resume for "Technology Consulting - AI & Data (Experienced Hire)" , EY

Get personalized recommendations to optimize your resume specifically for Technology Consulting - AI & Data (Experienced Hire). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Technology Consulting - AI & Data (Experienced Hire)" , EY

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Technology ConsultingProfessional ServicesConsulting

Answer 10 quick questions to check your fit for Technology Consulting - AI & Data (Experienced Hire) @ EY.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.