Data Engineer

Overview

Mandaluyong, National Capital Region ₱ - ₱ Y Bank of Commerce (Philippines)

Posted 1 day ago

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Job Description

I. Job Summary

Builds and implements ETL and data pipelines for importing, cleaning, transforming, validating, and optimizing data.

II. Duties and Responsibilities

• Identifies and acquires pertinent data needed for reporting, dashboard creation and insights generation from various data sources – from the Bank's application systems to worksheets or files being maintained by business units as well as data coming from external data sources.
• References data dictionary, data mapping documents, data models and database structures when analyzing possible sources data.
• Ensures quality and accuracy of the data mapped from the staging environment to the target environment or data repository.
• Creates and develops ETL/ELT programs and data pipelines to move or copy data from source systems to the data repository.
• Performance Tuning and Optimization of all Data Ingestion and Data Integration processes, including Data Platform and databases.
• Works closely with DBA and Data center on the restoration of the needed historical data, files, and databases.
• Implements data security policies to protect sensitive information from being compromised.
• Implements data warehouse architecture that supports business operations.
• Creates data marts, designed to support specific business processes or functions within the Bank.
• Works closely with Data Science and Analytics Unit, application developers and DBAs and Business Analysts on the location of the needed data.
• Provides level 2 support on ETL/data pipeline errors and data inconsistencies
• Prepares monthly accomplishment reports and submits them to Data Engineering and Operations Head.
• Reports to the Data Engineering and Operations Head.

(Note: This posting contains multiple roles with similar titles; some regions may have restricted applicants.)

Data Integration Engineer

Role Overview:

This role will be primarily responsible for designing, developing, optimizing and maintaining ETL / ELT processes using Microsoft tools (Azure Data Factory, LogicApps etc.) targeting the Snowflake ecosystem. Knowledge of other ETL tools such as Alteryx would also be beneficial. Knowledge of data-warehousing using Snowflake would be desirable to ensure provision of available, reliable datasets for reporting and analysis. Experience with Data visualization through Power BI would be a plus.

Duties and Responsibilities:

• Collaborate with internal data owners and other IT specialists to identify data requirements and design data integration solutions.
• Develop ETL / ELT pipelines to process datasets from internal and external sources into Snowflake using Microsoft tools such as Azure Data Factory and LogicApps.
• Provide management and oversight of external integration IT teams.
• Utilize other tools such as Alteryx as needed.
• Ensure that all code is fully reviewed and tested prior to deployment.
• Ensure that datasets staged into Snowflake are accurate and up to date.
• Maintain oversight and management of all integration SDLC and monitoring of all production workflows.
• Support Data Governance and Quality within the integration environment

Collaboration with Business and IT Teams:

• Work closely with business units including finance, marketing, supply chain, and sales to gather reporting requirements and translate them into technical solutions.
• Liaise with data governance teams to ensure adherence to best practices in data management and security.

Documentation and Compliance:

• Maintain documentation for all data pipelines/ transformations, ensuring clarity and consistency for both technical teams and end-users.
• Ensure adherence to corporate policies and industry standards related to data security and compliance.
• Previous experience with CSV and GxP requirements would be a plus.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, IT, or any related field.
• 6+ years hands-on experience in integration processes, with a focus on building and managing dataflows into Snowflake or similar systems.
• Advanced hands-on technical experience with Azure Data Factory, LogicApps, and other similar tools.
• Experience with SQL and/or Python required.
• Experience with Alteryx would be beneficial.
• Experience with Data Governance including compliance, security, privacy and access.
• Ideally, proven expertise in building datasets to enable reports and dashboards using Power BI.
• Must be amenable to work on a day shift schedule (9am-6pm) and in a hybrid setup (2-3x a week RTO in Science Hub, Taguig).

This advertiser has chosen not to accept applicants from your region.

Additional Posting

Posted today; Job Description continues with similar Data Integration roles in different contexts and locations. See below for other postings and requirements, which include on-site and hybrid roles, different tooling (Azure, Snowflake, Talend, Informatica, API usage, etc.), and varying qualification expectations. All postings maintain focus on data integration, ETL/ELT pipelines, data governance, security, and collaboration with IT and business units.

Azure Data and Integration Developer

Makati City, National Capital Region ₱ - ₱ Y Leighton Asia

Posted 1 day ago

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Job Description

Company Description

Leighton Asia delivers infrastructure projects across Asia. This on-site role in Makati leads end-to-end Azure integration development aligned with CIMIC's architecture. Responsibilities include security compliance, development and testing, documentation, and BAU handover.

Qualifications:

• Degree in ICT, Engineering, or related field.
• 2–3 years in a similar role; Azure data projects experience (data ingestion, storage, transformation, lakes, real-time and batch integrations).
• Security compliance knowledge; architectural discipline; experience with onshore/offshore teams.
• Technical pillars: API management, REST APIs, Azure Key Vault, Entra ID, GitHub, CI/CD pipelines.

This advertiser has chosen not to accept applicants from your region.

MoneyHero Group – Senior Data Engineer (Nasdaq: MNY)

MoneyHero Group is a fintech platform with operations across multiple markets. The Senior Data Engineer oversees data systems, pipelines, governance, and data models; leads a team of data engineers and collaborates with data scientists and business analysts.

What you will do:

• Develop and implement data architecture and engineering strategies; build scalable data pipelines; create data models; mentor junior engineers; collaborate with stakeholders; monitor and troubleshoot data issues; ensure data governance and security.

What we’re looking for:

• 4+ years in data engineering; strong SQL, Python, dbt; experience with cloud platforms (AWS/Azure/GCP); data warehousing and governance knowledge; excellent communication; Bachelor’s in CS/Engineering or related field.

What’s in it for you:

Nasdaq Manila offers hybrid work, HMO for you and dependents, ESOP, retirement plan, annual bonus, learning benefits, and more. Nasdaq is an equal opportunity employer.

This advertiser has chosen not to accept applicants from your region.

Job Description – Data Operations Analyst (Nasdaq Manila)

Role: Data Operations Analyst for Nasdaq Data Link DOPE division. Responsibilities include monitoring datasets, responding to alerts, communicating issues, resolving queries, and developing Python/SQL skills. 1–3 years of experience preferred; willing to work a rotational shift; strong communication; knowledge of Python/SQL/Git; Databricks and Monte Carlo familiarity a plus.

What you will do:

• Monitor alerts and data delays; troubleshoot; communicate with partners and stakeholders; assist support teams; develop Python/Spark/SQL skills; learn Databricks and Monte Carlo.

What we expect:

• 1–3 years in data products/data management; willing to work 24/7 rotational shifts; degree or equivalent experience; strong communication; eagerness to learn; knowledge of Python/SQL/Git; interest in Databricks/Airflow.

Location and regional notes: Nasdaq may restrict applicants by region; posted 1 day ago.

Job Description – Data Engineer (General)

Job varies by posting but generally covers creation, maintenance, and optimization of data pipelines, data models, and data architectures; collaboration with software engineers and data scientists; adherence to DataOps, data governance, and security practices. Typical qualifications include 3+ years in data engineering, Spark/SQL, Python, Cloud (Azure/AWS/GCP), and understanding of data warehousing concepts.

Note: This consolidated refinement preserves the core responsibilities and qualifications found across multiple postings while removing boilerplate and non-essential prospecting language. The advertiser region restrictions remain indicated where applicable.

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