180 Data Migration jobs in Singapore

About the job you are considering

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

• you will be involved in using Talend, SQL, Python, and AWS services (S3, Redshift, Glue, Athena), which are highly applicable to data migration and engineering tasks.
• Project delivery experience in large-scale data migration projects
• Framework Design: You will involve in design dynamic, reusable ETL frameworks that significantly improved development efficiency.
• Stakeholder Engagement: Demonstrated strong communication skills through stakeholder management, mentoring, and cross-functional collaboration.

Your Skills and Experience

• Knowledge of Python, SQL, JavaScript, OOP with a quantitative degree, preferably a Bachelor of Computer Science or Information Systems.
• Good cloud DevOps engineers with Public Sector delivery experience and desire to transit into Data & AI domain will also be considered.
• Past experience of working in Singapore Public Sector with relevant clearances will be advantageous.
• The following additional certificates will be an added advantage: Azure Solutions Architect Expert, AWS
• Certified Data Engineer, Salesforce Platform Developer II, Salesforce Consultant Certificates.
• Knowledge or understanding of project lifecycle.
• Experience with CI/CD tools, release management and integration preferred.
• Eagerness to learn and adapt to new technologies.

Why you should consider Capgemini

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask.  When you join Capgemini, you'll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts.  We find new ways technology can help us reimagine what's possible.  It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future.  By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

#GetTheFutureYouWant|

About the job you are considering

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

• you will be involved in using Talend, SQL, Python, and AWS services (S3, Redshift, Glue, Athena), which are highly applicable to data migration and engineering tasks.
• Project delivery experience in large-scale data migration projects
• Framework Design: You will involve in design dynamic, reusable ETL frameworks that significantly improved development efficiency.
• Stakeholder Engagement: Demonstrated strong communication skills through stakeholder management, mentoring, and cross-functional collaboration.

Your Skills and Experience

• Knowledge of Python, SQL, JavaScript, OOP with a quantitative degree, preferably a Bachelor of Computer Science or Information Systems.
• Good cloud DevOps engineers with Public Sector delivery experience and desire to transit into Data & AI domain will also be considered.
• Past experience of working in Singapore Public Sector with relevant clearances will be advantageous.
• The following additional certificates will be an added advantage: Azure Solutions Architect Expert, AWS
• Certified Data Engineer, Salesforce Platform Developer II, Salesforce Consultant Certificates.
• Knowledge or understanding of project lifecycle.
• Experience with CI/CD tools, release management and integration preferred.
• Eagerness to learn and adapt to new technologies.

Why you should consider Capgemini

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of ₠22.5 billion.

#GetTheFutureYouWant |

information_technology

We are seeking a skilled Data Migration Engineer to lead and execute end-to-end data migration initiatives from legacy systems to modern platforms. The ideal candidate will have hands-on experience in ETL pipelines , data engineering , and data validation , with strong proficiency in Python and SQL . You will be responsible for ensuring the accuracy, completeness, and integrity of data throughout the migration lifecycle, while minimizing disruption to business operations.

• Analyze legacy data structures, formats, and dependencies.
• Profile source data to identify quality issues and inconsistencies.
• Work closely with business and technical stakeholders to define migration scope, timelines, and cutover/rollback strategies.
• Translate business requirements into migration plans and technical specifications.

• Design, develop, and maintain scalable ETL pipelines for data extraction, transformation, and loading.
• Cleanse, map, and transform data to align with the schema and constraints of the target system.
• Execute both incremental and full data loads with minimal downtime.
• Ensure data consistency, referential integrity, and format alignment during migration.

• Conduct trial runs and dry migrations to validate data accuracy and completeness.
• Develop and perform data reconciliation between source and target systems to ensure parity.
• Implement robust error-handling , logging , and rollback mechanisms .
• Investigate and resolve discrepancies or failed loads.

• Monitor performance of data migration tasks and troubleshoot bottlenecks.
• Tune queries, scripts, and pipelines to support large-volume data transfers efficiently.
• Ensure compliance with data governance , privacy , and security policies throughout the migration.

Requirements:

• 3-8 years of relevant experience
• Strong experience in data migration , ETL processes , and data engineering practices.
• Proficient in Python and SQL for scripting, transformation, and automation.
• Experience with data validation, reconciliation, and quality assurance
• Hands-on with data profiling tools
• Experience working with relational databases (e.g., MySQL, PostgreSQL, MS SQL Server, Oracle).
• Possess good understanding of object-oriented concepts, design patterns, concurrency and software techniques.
• Experience in application integration, monitoring and control with exposure in automated tests
• Proficient in Web services, API technologies and concepts
• Ability to manage multiple migration projects under tight timelines with high attention to detail.
• Strong analytical and problem-solving skills.
• Proficient in consuming data from a variety of sources and connecting frontend applications to backend services.
• Good in analyzing requirements, creating technical specifications and using test cases and scenarios.

Job Purpose

To Lead the end-to-end data migration process for the ERP/EPM implementation. This role is responsible for ensuring accurate, complete, and timely extraction, cleansing, transformation, and loading master and transactional data from legacy SAP system into the new target platform. The consultant will act as the technical expert, ensuring data integrity and quality throughout the migration lifecycle, thereby de-risking the data migration during implementation and ensuring a smooth go-live while ensuring business continuity.

Roles & Responsibilities

Strategic Planning and Alignment

• Execute APLLs Data Migration Strategy and Lead the execution of the Data Migration Work Plan.

• Collaboratively define the Single Source of Truth for all the different Data domains that have been identified to be part of the ERP and EPM Implementation.

• Collaborate with business stakeholders and Data Governance Council to define data standards, quality rules, and acceptance criteria.

• Perform in-depth data profiling and analysis on source systems to assess data quality, identify issues & perform data cleansing activities.

Design & Execution

• Create detailed source-to-target mapping documents for all data objects (e.g., Customer, Vendor, Chart of Accounts.

• Design and document all data transformation, cleansing, and validation rules.

• Develop, test, execute automated scripts for data extraction, transformation and cleansing.

• Lead the data cleansing effort to remediate duplicates, errors, and inconsistencies.

Validation & Quality Assurance

• Conduct multiple mock migration cycles to validate the process and data integrity.

• Perform reconciliation checks to ensure 100% data completeness and accuracy between source and target systems.

• Prepare and present data quality reports and migration status updates to project leadership.

• Identify, assess, and mitigate data risks to ensure projects remain on track and within scope.

Qualification

• Bachelor's degree in computer science, Information Technology, Data Science, or a related field is required.

• Relevant certifications in data management, data migration for specific ERP platforms (e.g., SAP, Workday Finance & Microsoft Dynamics 365 FO).

Experience

• 8-10 years of hands-on experience in a dedicated data migration role.

• Proven experience leading data migration for at least two full-lifecycle ERP implementations (e.g., SAP, Workday Finance, Microsoft D365 FO).

• Direct experience with legacy system data extraction, including managing data from mainframe systems (e.g., COBOL files, packed decimals, VSAM).

• Experience working in complex organizational environments, managing multiple stakeholders, and adhering to strict project timelines.

Skills

• Data Migration Tools & Techniques: Experience with ETL (Extract, Transform, Load) tools, SAP Migration Cockpit, LSMW, and Workday EIB (Enterprise Interface Builder), Workday Studio, and other integration tools.

• Data Mapping & Transformation: Ability to map data fields between SAP and Workday / Microsoft Dynamics 365 FO, including understanding of both systems' data models and structures.

• Data Quality & Cleansing: Skills in identifying, analyzing, and resolving data quality issues to ensure accuracy and completeness during migration.

• Testing & Validation: Conducting thorough testing (unit, integration, user acceptance) to validate migrated data and processes.

• SQL & Scripting: Proficiency in SQL and scripting languages for data extraction, manipulation, and validation.

• Business Process Mapping: Ability to analyze and map business processes from SAP to Workday, ensuring functional alignment and process optimization. · Ability to understand and map complex business processes to data entities.

• Meticulous Attention to Detail: Unwavering commitment to data accuracy.

About the Role

Our organization is seeking a highly skilled professional to lead database migration projects. As a key member of our team, you will be responsible for understanding problem statements, proposing solutions considering pros and cons, and collaborating with stakeholders.

The ideal candidate should have extensive experience in database migration, ETL, and data warehousing projects. A strong proficiency in Python coding and excellent communication skills are also essential for this role.

Responsibilities:

• Developing and implementing effective database migration strategies
• Migrating relational databases to cloud-native data lake solutions
• Collaborating with cross-functional teams to ensure successful project execution

Key Qualifications:

• 6-10 years of experience in database migration, ETL, and data warehousing projects
• Proven experience migrating relational databases to cloud-native data lake solutions
• Strong proficiency in Python coding
• Excellent communication and collaboration skills

What We Offer:

This is a contract role for 5-6 months. As a valued member of our team, you will have the opportunity to work on challenging projects, develop your skills, and contribute to the success of our organization.

Perfect for fresh grads or those in-between studies & first job

Location: Office (Central)

Duration: 4 Months, Full-Time

Hours: Mon–Fri, 9:30 AM – 6:00 PM

We're looking for someone meticulous, quick, and ready to jump in to help with our finance data migration project. No experience? No problem — we'll show you the ropes.

• Transfer data from old systems to new ones — accurately and neatly
• Double-check and match records so nothing slips through
• Flag and fix any mismatched details
• Help tidy up and standardize our records
• Work with the accounts team to make sure everything lines up

• No finance background needed — just an eye for detail
• Fast and accurate at typing/data entry
• Patient and careful (you enjoy spotting mistakes)
• Able to focus in a deadline-driven environment
• Committed for 4 months, full-time

• You're between school and your first job
• You want hands-on office experience
• You're organised, responsible, and like things "done right"
• Singaporean

Perfect for fresh grads or those in-between studies & first job!
Location:
Office (Central)
Duration:
4 Months, Full-Time
Hours:
Mon–Fri, 9:30 AM – 6:00 PM
We’re looking for someone meticulous, quick, and ready to jump in to help with our
finance data migration project.
No experience? No problem — we’ll show you the ropes.
What you’ll do
Transfer data from old systems to new ones — accurately and neatly
Double-check and match records so nothing slips through
Flag and fix any mismatched details
Help tidy up and standardize our records
Work with the accounts team to make sure everything lines up
What we’re looking for
No finance background needed — just an eye for detail
Fast and accurate at typing/data entry
Patient and careful (you enjoy spotting mistakes!)
Able to focus in a deadline-driven environment
Committed for 4 months, full-time
This role is for you if.
You’re between school and your first job
You want hands-on office experience
You’re organised, responsible, and like things “done right”
Singaporean
#J-18808-Ljbffr

We are seeking a skilled
Data Migration Engineer
to lead and execute end-to-end data migration initiatives from legacy systems to modern platforms. The ideal candidate will have hands-on experience in
ETL pipelines ,
data engineering , and
data validation , with strong proficiency in
Python
and
SQL . You will be responsible for ensuring the accuracy, completeness, and integrity of data throughout the migration lifecycle, while minimizing disruption to business operations.
Key Responsibilities
1. Migration Planning and Analysis
Analyze legacy data structures, formats, and dependencies.
Profile source data to identify quality issues and inconsistencies.
Work closely with business and technical stakeholders to define migration scope, timelines, and cutover/rollback strategies.
Translate business requirements into migration plans and technical specifications.
2. ETL Development and Execution
Design, develop, and maintain scalable
ETL pipelines
for data extraction, transformation, and loading.
Cleanse, map, and transform data to align with the schema and constraints of the target system.
Execute both
incremental
and
full data loads
with minimal downtime.
Ensure data consistency, referential integrity, and format alignment during migration.
3. Validation, Testing, and Reconciliation
Conduct trial runs and dry migrations to validate data accuracy and completeness.
Develop and perform
data reconciliation
between source and target systems to ensure parity.
Implement robust
error-handling ,
logging , and
rollback mechanisms .
Investigate and resolve discrepancies or failed loads.
4. Performance Tuning and Optimization
Monitor performance of data migration tasks and troubleshoot bottlenecks.
Tune queries, scripts, and pipelines to support
large-volume data transfers
efficiently.
Ensure compliance with
data governance ,
privacy , and
security policies
throughout the migration.
Requirements
3-8 years of relevant experience
Strong experience in
data migration ,
ETL processes , and
data engineering
practices.
Proficient in
Python
and
SQL
for scripting, transformation, and automation.
Experience with
data validation, reconciliation, and quality assurance
Hands-on with
data profiling tools
Experience working with relational databases (e.g.,
MySQL ,
PostgreSQL ,
MS SQL Server ,
Oracle ).
Possess good understanding of object-oriented concepts, design patterns, concurrency and software techniques.
Experience in application integration, monitoring and control with exposure in automated tests
Proficient in Web services, API technologies and concepts
Ability to manage multiple migration projects under tight timelines with high attention to detail.
Strong analytical and problem-solving skills.
Proficient in
consuming data
from a variety of sources and connecting
frontend applications to backend services.
Good in analyzing requirements,
creating technical specifications
and using
test cases and scenarios.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr

We are seeking a skilled
Data Migration Engineer
to lead and execute end-to-end data migration initiatives from legacy systems to modern platforms. The ideal candidate will have hands‐on experience in
ETL pipelines ,
data engineering , and
data validation , with strong proficiency in
Python
and
SQL . You will be responsible for ensuring the accuracy, completeness, and integrity of data throughout the migration lifecycle, while minimizing disruption to business operations.
Key Responsibilities
1. Migration Planning and Analysis
Analyze legacy data structures, formats, and dependencies.
Profile source data to identify quality issues and inconsistencies.
Work closely with business and technical stakeholders to define migration scope, timelines, and cutover/rollback strategies.
Translate business requirements into migration plans and technical specifications.
2. ETL Development and Execution
Design, develop, and maintain scalable
ETL pipelines
for data extraction, transformation, and loading.
Cleanse, map, and transform data to align with the schema and constraints of the target system.
Execute both
incremental
and
full data loads
with minimal downtime.
Ensure data consistency, referential integrity, and format alignment during migration.
3. Validation, Testing, and Reconciliation
Conduct trial runs and dry migrations to validate data accuracy and completeness.
Develop and perform
data reconciliation
between source and target systems to ensure parity.
Implement robust
error‐handling ,
logging , and
rollback mechanisms .
Investigate and resolve discrepancies or failed loads.
4. Performance Tuning and Optimization
Monitor performance of data migration tasks and troubleshoot bottlenecks.
Tune queries, scripts, and pipelines to support
large‐volume data transfers
efficiently.
Ensure compliance with
data governance ,
privacy , and
security policies
throughout the migration.
Requirements:
Requirements
3-8 years of relevant experience
Strong experience in
data migration ,
ETL processes , and
data engineering
practices.
Proficient in
Python
and
SQL
for scripting, transformation, and automation.
Experience with
data validation, reconciliation, and quality assurance
Hands‐on with
data profiling tools
Experience working with relational databases (e.g.,
MySQL, PostgreSQL, MS SQL Server, Oracle ).
Possess good understanding of object‐oriented concepts, design patterns, concurrency and software techniques.
Experience in application integration, monitoring and control with exposure in automated tests.
Proficient in Web services, API technologies and concepts.
Ability to manage multiple migration projects under tight timelines with high attention to detail.
Strong analytical and problem‐solving skills.
Proficient in
consuming data
from a variety of sources and connecting
frontend applications to backend services .
Good in analyzing requirements,
creating technical specifications
and using
test cases and scenarios .
#J-18808-Ljbffr