Data Engineer Business Process Automation

Job Description
Emerson's 130+ years of history have been filled with achievements and challenges that have driven innovative thinking and bold transformations, molding us into the company we are today. By joining us as a
Data Engineer, Business Process Automation
, you will support Business Intelligence using the Microsoft suite of analytics and data platforms. You will demonstrate your Data Engineering experience by focusing on the technical aspects and implementation of data gathering, integration, and model design. You will use SQL, Azure, Microsoft Fabric, and Power BI to create data models for strategic and self-service business intelligence.

If this sounds like a perfect fit for you, apply now and join our team in Mandaluyong City, Philippines

In This Role, Your Responsibilities Will Be:

• Design, build, and maintain Data Pipelines; develop, construct, test, and maintain robust data architectures, data warehouse, including databases and large-scale processing systems that power our analytics and business intelligence initiatives.
• Implement and manage Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT) processes for data ingestion from various data sources.
• Ensure data quality, security, and compliance by implementing best practices in data governance.
• Continuously monitor and optimize our data pipelines and infrastructure for performance and efficiency.
• Use BI services to support strategic and self-service models and reports.
• Practice internal standards for coding, project tracking, and documentation.
• Partner with data analysts to understand their data needs and provide them with clean, accessible data.
• Work closely with product owners, data architects, and software engineers to ensure our data infrastructure is reliable and efficient.

Who You Are:
You have a strong drive for results and exhibit passion and enthusiasm to get things done. You are a proactive self-starter with a high level of commitment to exceeding expectations. You can efficiently carry out tasks independently and generate accurate, high-quality reports. You can proficiently communicate ideas and influence both internal and external customers. You're interpersonally savvy and able to collaborate and efficiently work with people at any level in a multicultural environment.

For This Role, You Will Need:

• Bachelor's degree in Computer Science, Information Technology, or related courses.
• Minimum 5 years of relevant experience in Data Engineering, Data Warehousing, Database Management.
• Solid understanding of data warehousing concepts and experience with data warehouse solutions (e.g., Redshift, BigQuery, Snowflake).
• Extensive experience connecting to various data sources and structures such as RDBMS, Data Lake, SQL Database, Azure, or any Cloud Infrastructure.
• Hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP).

Preferred Qualifications that Set You Apart:

• Working experience in Azure Services paired with knowledge of Agile and/or Scrum methods of delivery is a plus.

Our Culture & Commitment to You
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation, and holiday leave.