Data Engineer

Nexus Recruitment Group; Taguig; On-site; PHP 600,000 - 900,000; Full time

Job summary

Nexus Recruitment Group is seeking a Data Engineer to design, build, and maintain robust data pipelines and infrastructure supporting enterprise analytics and reporting. This role drives high‑quality data flows for operational decisions, regulatory reporting, and business intelligence across a shared services or financial services organization.

The ideal candidate will have ETL development and data modeling experience, plus hands-on work with cloud platforms.

Qualifications

• 3-5 years of experience in data engineering or enterprise data management.
• Strong SQL and at least one programming language (Python, Java, or Scala).
• Experience with cloud data platforms such as Azure Data Factory, AWS Glue, Snowflake, Databricks, or Airflow.
• Understanding of data warehousing, dimensional modeling, and data governance.

Responsibilities

• Design, develop, and optimize ETL pipelines from multiple sources.
• Collaborate with analysts and business users to define data needs.
• Ensure data quality, governance, and lineage with validation tools.
• Implement data models and warehouse structures for analytics and compliance.
• Automate data integration for real-time and batch processing.
• Partner with infra teams on performance, security, and availability.
• Participate in code reviews, debugging, and performance tuning.
• Maintain docs on data architecture and pipeline logic.

Skills

SQL

Python

Java

Scala

ETL development

Data modeling

Azure Data Factory

AWS Glue

Snowflake

Databricks

Apache Airflow

Git

CI/CD

Agile

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure Data Factory

AWS Glue

Snowflake

Databricks

Apache Airflow

Git

Job description

We are seeking a results-driven and detail-oriented Data Engineer to design, build, and maintain robust data pipelines and infrastructure supporting enterprise analytics and reporting. This role plays a key part in enabling high-quality data flows for operational decision-making, regulatory reporting, and business intelligence across a shared services or financial services organization.

The ideal candidate has strong experience with ETL development, data modeling, and cloud-based data platforms.

Key Responsibilities:

• Design, develop, and optimize data pipelines that extract, transform, and load (ETL) data from various internal and external sources.
• Work closely with data analysts, business users, and application teams to define data requirements and deliver scalable solutions.
• Ensure data quality, governance, and lineage through proper validation and monitoring tools.
• Implement data models and warehouse structures that support analytics, reporting, and compliance needs.
• Automate data integration workflows to support real-time and batch processing.
• Collaborate with infrastructure teams to ensure performance, security, and availability of data systems.
• Participate in code reviews, troubleshooting, and ongoing performance tuning.
• Maintain documentation of data architecture, lineage, and pipeline logic.

Qualifications:

• Bachelors degree in Computer Science, Information Systems, Engineering, or a related field.
• 3-5 years of experience in data engineering, ETL development, or enterprise data management.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
• Hands-on experience with data tools and platforms such as Azure Data Factory, AWS Glue, Snowflake, Databricks, or Apache Airflow.
• Solid understanding of data warehousing, dimensional modeling, and best practices in data governance.
• Familiarity with version control (e.g., Git), CI/CD pipelines, and Agile development methods.
• Strong problem-solving skills, attention to detail, and collaborative mindset.