Data Engineer

We are looking for a Data Engineer to join the Global Technology team at MGS, supporting the design, development, and operation of enterprise data platforms across GWAM. This role is primarily focused on building and modernizing scalable data solutions using Microsoft Azure Data & Analytics technologies, including Azure Databricks, Azure Data Factory, Azure Data Lake, and Azure SQL. Working within an Agile, high-performing environment, the successful candidate will be responsible for delivering robust data pipelines, data integration solutions, automation, and analytics capabilities that enable business insights and data-driven decision making.

In addition to data engineering responsibilities, the role will provide Level 2/3 support for data platforms and critical applications, including troubleshooting data quality issues, pipeline failures, production incidents, and system integrations. The ideal candidate will bring strong analytical and problem-solving skills, a customer-focused mindset, and experience collaborating with business and technology teams to deliver reliable, scalable, and well-governed data solutions that align with Manulife's enterprise standards and strategic objectives.

Position Responsibilities:

• Design, develop, and maintain batch and real-time data pipelines using Microsoft Azure Data & Analytics services, including Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL.

• Build, optimize, and support scalable data ingestion, transformation, curation, and delivery processes across enterprise data platforms.
• Design and develop ETL/ELT processes using Azure Data Factory, Databricks, PySpark, SQL, Python, and related data engineering technologies.
• Develop and maintain modern data architectures, data warehouses, data marts, and relational/non-relational databases supporting reporting, analytics, and data science initiatives.
• Design, build, and maintain data services, APIs, and reusable datasets for business and technology consumers.
• Translate business requirements into scalable technical solutions while collaborating with business users, architects, developers, and business analysts.
• Lead and contribute to the modernization of enterprise data solutions using Azure cloud technologies and best practices.
• Develop and maintain CI/CD pipelines and DevOps processes using GitHub, Azure DevOps, Jenkins, and related automation tools.
• Prepare, transform, and expose data for reporting, advanced analytics, machine learning, and visualization platforms such as Power BI.
• Monitor, troubleshoot, and optimize performance, reliability, scalability, and operational efficiency of data platforms and pipelines.
• Provide Level 2/3 support for enterprise applications, data platforms, and integrations ensuring adherence to service level commitments.
• Investigate and resolve incidents involving data pipelines, data quality, batch processing, file transfers, APIs, and application-related issues.
• Perform root cause analysis on production incidents and coordinate with development teams on defect resolution and minor enhancements.
• Investigate feed/file delivery failures, workflow issues, and scheduling concerns using tools such as Azure Data Factory, Databricks, CA Workload Automation (or equivalent), ServiceNow, and Jira.
• Analyze and resolve data discrepancies, reconciliation issues, and data quality concerns in partnership with business stakeholders.
• Participate in Incident, Problem, Change, and Release Management activities following ITIL and DevSecOps practices.
• Create and maintain technical documentation, operational procedures, knowledge articles, and support runbooks.
• Develop reports, dashboards, and process automations using Power BI, Power Automate, Power Apps, or similar tools.
• Track operational metrics, identify continuous improvement opportunities, and recommend automation and process optimization initiatives.
• Mentor junior team members, conduct code reviews, support knowledge transfer activities, and contribute to a culture of continuous learning and collaboration.
• Remain current on industry standards, emerging technologies, methodologies, and enterprise best practices.
• Perform other duties and responsibilities as assigned by management.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• Minimum 2 years of experience in Data Engineering, Data Warehousing, ETL/ELT development, or related data-focused roles.
• Strong hands-on experience with Microsoft Azure Data Platform technologies, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure SQL Database
• Strong experience designing, developing, and supporting enterprise-scale data pipelines and data integration solutions.
• Proficiency in SQL, Python, and PySpark for data engineering, data transformation, troubleshooting, and automation.
• Experience building and supporting ETL/ELT processes, data warehouses, and analytical data environments.
• Experience with GitHub, Azure DevOps, Jenkins, or similar CI/CD and DevOps tools.
• Knowledge of relational database design, data modeling, and data quality management principles.
• Experience supporting production platforms and applications in a Level 2/3 support environment.
• Working knowledge of Incident, Problem, Change, and Release Management processes aligned with ITIL practices.
• Experience investigating data quality issues, batch processing failures, application defects, and system integrations.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written communication skills with the ability to communicate effectively with both technical and business audiences.
• Proven ability to multitask, prioritize workloads, and work independently or within a collaborative team environment.
• Self-motivated, customer-focused, and adaptable to a rapidly changing environment.
• Amenable to work on a hybrid set-up (3x a week onsite)
• Amenable to work at UP Ayala Technohub (Quezon City)
• Amenable to work in any shift schedule assigned (flexible depending on business need)

Preferred Qualifications:

• Experience with Azure data engineering and analytics technologies including Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS), Synapse Analytics, PySpark, and related cloud-based big data platforms.
• Experience preparing data for Data Science, Advanced Analytics, and Machine Learning initiatives using Azure Machine Learning or similar platforms.
• Experience with Power Platform tools including Power BI, Power Automate, and Power Apps.
• Experience developing or supporting APIs, microservices, and data integration services.
• Knowledge of Java, Shell Scripting, PowerShell, UNIX/Linux environments, and automation frameworks.
• Experience with workload scheduling and monitoring tools such as CA Workload Automation or equivalent platforms.
• Experience using ServiceNow, Jira, or similar workflow and IT service management tools.
• Knowledge of financial services, investment management, asset management, wealth management, or capital markets domains.
• Solution-oriented mindset with the ability to challenge requirements and recommend scalable and sustainable technical solutions.
• Demonstrated leadership, mentoring, stakeholder management, and cross-functional collaboration experience.
• Ability to translate complex technical concepts into business terms and effectively communicate solution impacts and recommendations.
• Experience working in Agile, Scrum, DevOps, or DevSecOps delivery environments.

When you join our team:

• We’ll empower you to learn and grow the career you want.

• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Working Arrangement