Overview The Data Engineer is responsible for designing, building, and maintaining data systems that support the organization’s data-driven decision-making.

This role collaborates with cross-functional stakeholders to understand data requirements, define data architectures, and implement robust data pipelines that empower business intelligence, analytics, and data office initiatives.

Key Responsibilities Data Pipeline Development Design, develop, and maintain ETL/ELT data pipelines to extract, transform, and load data from a variety of internal and external sources.

Ensure pipelines are scalable, reusable, and aligned with best practices for data engineering.

Automate data ingestion and workflow orchestration using industry-standard tools and frameworks.

Data Quality & Reliability Implement rigorous data quality checks, validation rules, and monitoring processes.

Ensure accuracy, consistency, completeness, and reliability of data across multiple systems and environments.

Collaborate with business and technical teams to address data anomalies and ensure high-quality data outputs.

System Optimization & Performance Optimize data systems and pipelines for performance, scalability, and cost efficiency.

Troubleshoot and resolve data-related issues, performance bottlenecks, and system failures.

Continuously evaluate and enhance the data architecture to support evolving business requirements.

Required Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.

Atleast 3 - 5 years' of experience in data engineering, data warehousing, or large-scale data system development.

Proficiency in SQL and at least one programming language (e.g., Python).

Experience: with ETL tools, data orchestration platforms, and cloud services (Alteryx, AWS, Azure).

Strong understanding of database systems, data modeling, and data architecture concepts.

Preferred Familiarity with data governance, and metadata management.

Background working with BI teams, data analysts, or data engineers.

Key Competencies Strong analytical and problem‑solving skills.

High attention to detail, especially regarding data accuracy and system reliability.

Ability to collaborate with cross-functional teams in a fast-paced environment.

Strong communication skills with both technical and non‑technical stakeholders.

Other Details: Shift: 3pm-12am Location: Cavite Work setup: Hybrid Let us learn about you!

Apply today.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters.

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us.

This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value.

Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer.

It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Overview The Data Engineer is responsible for designing, building, and maintaining data systems that support the organization’s data-driven decision-making.

This role collaborates with cross-functional stakeholders to understand data requirements, define data architectures, and implement robust data pipelines that empower business intelligence, analytics, and data office initiatives.

Key Responsibilities Data Pipeline Development Design, develop, and maintain ETL/ELT data pipelines to extract, transform, and load data from a variety of internal and external sources.

Ensure pipelines are scalable, reusable, and aligned with best practices for data engineering.

Automate data ingestion and workflow orchestration using industry-standard tools and frameworks.

Data Quality & Reliability Implement rigorous data quality checks, validation rules, and monitoring processes.

Ensure accuracy, consistency, completeness, and reliability of data across multiple systems and environments.

Collaborate with business and technical teams to address data anomalies and ensure high-quality data outputs.

System Optimization & Performance Optimize data systems and pipelines for performance, scalability, and cost efficiency.

Troubleshoot and resolve data-related issues, performance bottlenecks, and system failures.

Continuously evaluate and enhance the data architecture to support evolving business requirements.

Required Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.

Atleast 3 - 5 years' of experience in data engineering, data warehousing, or large-scale data system development.

Proficiency in SQL and at least one programming language (e.g., Python).

Experience: with ETL tools, data orchestration platforms, and cloud services (Alteryx, AWS, Azure).

Strong understanding of database systems, data modeling, and data architecture concepts.

Preferred Familiarity with data governance, and metadata management.

Background working with BI teams, data analysts, or data engineers.

Key Competencies Strong analytical and problem‑solving skills.

High attention to detail, especially regarding data accuracy and system reliability.

Ability to collaborate with cross-functional teams in a fast-paced environment.

Strong communication skills with both technical and non‑technical stakeholders.

Other Details: Shift: 3pm-12am Location: Cavite Work setup: Hybrid Let us learn about you!

Apply today.