Data Engineer

Emapta Global; Metro Manila; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work arrangement

HMO coverage

Gym access

Salary advance program

Professional development

Leave benefits

Career growth

Referral incentives

Office in Makati

Job summary

Emapta is hiring a Data Engineer to turn complex data into trusted intel for facilities services. You’ll design scalable ETL/ELT pipelines, leverage Apache Spark and Delta Lake, and collaborate with global teams to deliver production-grade data solutions.

Ideal candidates have 3–7+ years in data engineering, strong Python and SQL, and experience with modern lakehouse architectures. This role offers a hybrid setup in Makati with growth opportunities and a culture of continuous upskilling.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

Responsibilities

• Design, develop, and maintain batch and incremental ETL and ELT pipelines.
• Transform raw, semi-structured, and structured data into analytics-ready datasets.
• Build and optimize Spark-based data transformations using PySpark and Spark SQL.
• Apply data modeling best practices to support reporting and business intelligence use cases.
• Manage and maintain data warehouse and lakehouse environments.
• Implement data quality checks, monitoring processes, and pipeline reliability controls.
• Troubleshoot pipeline failures and resolve data integrity and performance issues.
• Develop scalable data processing solutions using Apache Spark.
• Process large-scale datasets in batch and scheduled processing environments.
• Collaborate with Analytics, BI, Backend, and Product teams to refine data requirements.
• Support downstream users by ensuring data availability, consistency, and usability.
• Build and consume REST APIs for data ingestion and exposure.
• Contribute to backend services using Node.js or FastAPI as needed.
• Implement reliable ingestion patterns, including pagination, retries, and error handling.

Skills

Python

Advanced SQL

Apache Spark

PySpark

Spark SQL

ETL/ELT

Data Warehousing

Cloud Platforms (AWS/Azure/GCP)

Git

Data Pipelines

Education

Bachelor's degree in CS/IT

Tools

Databricks

Delta Lake

Node.js

FastAPI

Job description

Engineer Smarter Data Solutions for the Facilities Services Industry

Turn complex information into trusted business intelligence while building solutions that improve how essential facilities operate. The Data Engineer creates scalable pipelines, strengthens modern data platforms, and equips global teams with dependable insights. This high-impact opportunity offers top 1% talent meaningful technical ownership, work-life balance, and a long-term global career with Emapta and an established industry leader in global operations.

Snapshot

• Employment Type: Full-time
• Work Setup: Hybrid, Makati
• Shift: Day Shift, Weekends Off

Benefits

• Competitive Salary Package
• Day Shift schedule
• Hybrid work arrangement
• HMO coverage with free dependent upon regularization
• Prime office location in Makati (Easy access to MRT stations, restaurants, and banks)
• Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
• Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/)
• Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
• Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
• Unlimited opportunities for employee referral incentives across the organization
• Standard government and Emapta benefits
• Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

Qualifications

Educational Background

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

Professional Experience

• 3-7+ years of experience in data engineering or analytics engineering
• Hands-on experience building and maintaining ETL and ELT pipelines
• Practical experience using Apache Spark for large-scale data processing
• Background in data integration, data migration, and data pipeline development
• Experience working with data warehouses or modern lakehouse platforms
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is preferred

Required Technical Skills

• Strong proficiency in Python for data processing and pipeline development
• Advanced SQL skills, including joins, aggregations, window functions, and performance tuning
• Hands-on expertise in Apache Spark, PySpark, and Spark SQL
• Solid understanding of ETL and ELT design patterns and orchestration concepts
• Sound knowledge of data warehousing fundamentals and dimensional modeling, including fact and dimension tables
• Familiarity with modern lakehouse architectures and columnar storage formats
• Experience using Git and collaborative development workflows
• Ability to work independently, take ownership, and deliver production-grade data solutions
• Strong analytical thinking, problem-solving, and communication skills
• High levels of accountability, adaptability, flexibility, accuracy, and attention to detail

Preferred

• Experience using Databricks and Delta Lake
• Familiarity with BI tools such as Power BI or Tableau
• Backend development experience using Node.js or FastAPI
• Knowledge of REST APIs, data ingestion patterns, and object-oriented programming principles

Responsibilities

Data Pipeline Development

• Design, develop, and maintain batch and incremental ETL and ELT pipelines
• Transform raw, semi-structured, and structured data into analytics-ready datasets
• Build and optimize Spark-based data transformations using PySpark and Spark SQL
• Apply data modeling best practices to support reporting and business intelligence use cases
• Manage and maintain data warehouse and lakehouse environments
• Implement data quality checks, monitoring processes, and pipeline reliability controls
• Troubleshoot pipeline failures and resolve data integrity and performance issues

Data Platforms and Processing

• Develop scalable data processing solutions using Apache Spark
• Process large-scale datasets in batch and scheduled processing environments
• Optimize system performance and resource utilization
• Apply modern data lakehouse concepts using technologies such as Delta Lake and Databricks

Collaboration

• Partner with Analytics, Business Intelligence, Backend, and Product teams to gather and refine data requirements
• Support downstream users by ensuring data availability, consistency, and usability
• Participate in solution design reviews, code reviews, and data architecture discussions

Backend and Integration

• Build and consume REST APIs for data ingestion and exposure
• Contribute to backend services using Node.js or FastAPI when required
• Implement reliable ingestion patterns, including pagination, retries, and error handling
• Apply object-oriented programming principles to data and service development

Continuous Improvement

• Maintain current knowledge of data engineering tools, frameworks, and best practices
• Recommend and implement improvements in pipeline reliability, scalability, and maintainability
• Standardize data engineering patterns, processes, and documentation

Other Responsibilities

• Perform administrative, non-administrative, and other duties assigned by authorized company representatives through written or verbal instructions

Join Emapta, recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026. With a 50/50 gender ratio and a culture rooted in care and empathy, you'll feel valued from day one. We're committed to growing talent and setting you up for success.

Be part of a team that showcases Filipino excellence to the world. With over 30 offices across 11 countries and 1,200+ clients, you'll create real impact every day-whether you work from home or on-site. Our 100% virtual recruitment process makes it easy to get started.

At Emapta, you're not just joining a company-you're becoming part of a thriving community of 12,000+ professionals growing careers with purpose. And behind every partnership we build is a deep respect for people and the impact they make.

"We place integrity at the heart of everything we do and truly value the human experience. That's why, for clients, it's a profound and transformational process that gives them the opportunity to achieve the business growth they desire."

Tim Vorbach, CEO

#EmaptaEra