Associate, Data Engineering

RCBC Bankard Services Corporation; Eastern Manila District; On-site; PHP 300,000 - 600,000; Full time

Job summary

RCBC Bankard Services Corporation is seeking a data engineer to build, maintain, and optimize data pipelines and models supporting reporting and analytics. You will collaborate with analysts and business users to translate data requirements into maintainable solutions.

The role emphasizes data reliability, quality checks, and resolving data issues, suitable for candidates with 0–2 years of experience and a foundation in SQL, Python, and data modelling.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Statistics, Engineering, or a related field, or equivalent experience.
• 0-2 years of experience in data engineering, analytics, BI, or a related role. Internships and personal projects count
• Strong SQL in terms of writing and optimizing queries, including joins, window functions, CTEs, and aggregations
• Working knowledge of Python like scripting, libraries such as pandas, and reading data from files, databases, and APIs
• Familiarity with Git, using platforms such as GitHub or GitLab, and working with branches and pull requests
• Understanding of basic data modelling concepts, such as keys, grain, and fact and dimension tables

Responsibilities

• Builds, maintains, and improves data pipelines that move and transform data across systems.
• Develops and maintains data models that support reporting and analytics.
• Makes data processes reliable, repeatable, and easy for others on the team to run and support.
• Works with analysts and business users to understand data requirements and turn them into documented, maintainable solutions.
• Checks data quality and accuracy, and investigate and fix issues when they come up.

Skills

SQL proficiency

Python scripting

Git/GitHub

Data modelling concepts

Education

Bachelor's degree in CS/IT/Statistics/Engineering

Tools

Git

GitHub

Pandas

Job description

Job Purpose

• Builds, maintains, and improves data pipelines that move and transform data across systems.

• Develops and maintains data models that support reporting and analytics.

• Makes data processes reliable, repeatable, and easy for others on the team to run and support.

• Works with analysts and business users to understand data requirements and turn them into documented, maintainable solutions.

• Checks data quality and accuracy, and investigate and fix issues when they come up.

Job Requirements

• Bachelor's degree in Computer Science, Information Technology, Statistics, Engineering, or a related field, or equivalent experience

• 0-2 years of experience in data engineering, analytics, BI, or a related role. Internships and personal projects count

• Strong SQL in terms of writing and optimizing queries, including joins, window functions, CTEs, and aggregations

• Working knowledge of Python like scripting, libraries such as pandas, and reading data from files, databases, and APIs

• Familiarity with Git, using platforms such as GitHub or GitLab, and working with branches and pull requests

• Understanding of basic data modelling concepts, such as keys, grain, and fact and dimension tables