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Data Engineering Manager

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Client Overview:

Discover amazing career opportunities with a company that is all about helping people achieve their dreams and aspirations! 


Our client is a leading insurance and wealth and asset management group with global headquarters in Canada, operating regionally in Asia and the United States that 35,000 employees across the globe. Its global shared service centre in Quezon City and Lapu – Lapu City provides administrative, finance, investments, analytics, professional services, support, contact centre and information technology services to companies around the world and puts the customers at the forefront. 


The company aims to attract, develop and retain a diverse workforce and to foster an inclusive work environment that embraces the strength of cultures and individuals.

Client Industry:


Job Description and Qualification:


Accountable for designing and ensuring consistent data flow through the organization. Collaborates with data scientists, data analysts and data engineers on moving data analysis models into production

Job-specific accountabilities:

  • Assess middleware tools for data integration, transformation and routing
  • Maintains data warehouse performance by identifying and resolving conflicts
  • Utilizing a variety of data interchange formats to ensure that data requirements for the business are met
  • Monitor mapping and data integrity across the organization
  • Evaluate and clarify the data lifecycle management process
  • Design and promote the effective use of data querying APIs to provide data to supply data demand with easy access to organizational data resources
  • Ensure data quality standards following data management framework
  • Deployment of ETL jobs in production

Knowledge & skills:

  • Extensive experience in data lake, relational and warehousing database technology working with at least one of the major databases platforms (e.g., Azure Data Lake, Hadoop, Greenplum, Oracle, SQLServer, Teradata, MySQL, or Postgres)
  • Experience with big data processing frameworks and techniques such as HDFS, MapReduce, Storage formats (Avro, Parquet),  Stream processing, etc.
  • Extensive experience in Azure Data Ecosystem (Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Analysis Services)
  • Extensive experience in ETL tools such as Talend, Informatica
  • Good working knowledge of data processing tools using SQL, Spark, Python or similar open source and commercial technologies
  • Good grasp of financial services business requirements and needs
  • Good knowledge of IT industry trends - specifically those related data; understanding of data management, from RDBMS to NoSQL data models
  • Software development experience using multiple languages including at least some of the following: Java, C, C++, C#, JavaScript, Python, Perl
  • Experience in the areas master data management, data warehousing and analytics is desired. Any experience with Big Data will be an asset.
  • Collaborative attitude, willingness to work with team members; able to coach, participate in code reviews, share skills and methods
  • Constantly learns from both success and failure
  • Good organizational and problem-solving abilities that enable you to manage through creative abrasion
  • Good verbal and written communication; able to effectively articulate technical vision, possibilities, and outcomes

Minimum experience

  • BS in Computer Science, Statistics, Informatics, Information System, Mathematics or equivalent quantitative field preferred4+ years of experience as a data engineer
  • People management experience