Data Engineer

Manulife Financial; Quezon City; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Onsite at UP AyalaTechnohub QuezonCity

Job summary

Manulife Financial is seeking a Data Engineer to join our Global Technology team in the GWAM domain. You will design, build, and operate scalable data pipelines using Azure data services, enabling robust analytics and data-driven decisions across the enterprise.

You will provide Level 2/3 support, collaborate with business and tech teams, and contribute to data governance and modernization efforts. A hybrid work arrangement (3x onsite) in Quezon City is available.

Qualifications

• Bachelor's degree in CS/IT/Engineering/Data Science.
• Minimum 2 years in Data Engineering or related roles.
• Hands-on with Azure Data Factory, Azure Databricks, ADLS, Azure SQL.
• Experience designing enterprise-scale data pipelines.
• Proficiency in SQL, Python, PySpark.
• Experience with CI/CD tools: GitHub, Azure DevOps, Jenkins.
• Knowledge of data modeling and data quality.
• Experience in Level 2/3 production support.
• ITIL-aligned incident/change management.
• Excellent communication with technical and business audiences.
• Hybrid work setup (3x onsite) in Quezon City; flexible shifts.

Responsibilities

• Design, develop, and maintain batch and real-time data pipelines on Azure.
• Build scalable data ingestion, transformation, and delivery processes.
• Develop ETL/ELT with Azure Data Factory, Databricks, PySpark, SQL, Python.
• Develop data warehouses, marts, and databases.
• Develop data services, APIs, and reusable datasets.
• Translate business requirements into scalable technical solutions.
• Lead modernization of data solutions using Azure cloud technologies.
• Develop CI/CD pipelines and DevOps processes.
• Prepare data for reporting and visualization with Power BI.
• Monitor, troubleshoot, and optimize data platforms and pipelines.
• Provide Level 2/3 support for data platforms and integrations.
• Investigate incidents and data quality issues; perform root cause analysis.
• Document procedures and maintain runbooks.
• Mentor junior team members and support knowledge transfer.
• Stay current with industry standards and best practices.

Skills

SQL

Python

PySpark

Data Modeling

Analytical thinking

Problem solving

Communication

Teamwork

Customer-focused

Self-motivated

Adaptable

Education

Bachelor's degree in Computer Science/IT/Engineering/Data Science

Tools

GitHub

Azure DevOps

Jenkins

CA Workload Automation

ServiceNow

Jira

Job description

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 toworkon a hybrid set‑up (3x a week onsite)
• Amenable to work at UP AyalaTechnohub(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.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/lをご覧ください。

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 [e-mail]までご連絡をお願いします。

Working Arrangement

ハイブリッド勤務