Data Engineer

Manulife

Data Engineer at Manulife responsible for building data pipelines and maintaining data architecture. Collaborate with data professionals to ensure data quality and governance in a flexible work environment.

Posted 5/22/2026full-timeQuezon City • 🇵🇭 PhilippinesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLJavaPythonScalaSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.
Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.

Requirements

What you’ll need

4 or more years of relevant industry experience as Data Engineer
Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
Good knowledge of data warehousing concepts and relational data modelling
Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural
Experience in Data processing, performance analysis, tuning and capacity planning
Amenable to work on a hybrid set-up (3x onsite per week)
Amenable to work on a night shift schedule (with flexibility for mid shift depending on business need)

Benefits

Comp & perks

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 distributed team, we’ll support you in crafting the future you want to see!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTAzure Data FactoryAzure DatabricksSQLJavaScalaPythonRdata warehousing

Soft Skills

collaborationcommunicationproblem-solvingadaptabilityteamworkflexibilitydata governancedata qualityanalytical thinkingattention to detail