Data Engineer - Databricks Platform

Location: Singapore, South West, Singapore

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, using AI-powered insight to enable smarter decisions, faster innovation, and lasting competitive advantage.

What you will do

• Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies.
• Build and optimize ETL and ELT processes to provide high-quality, reliable, and accessible data.
• Integrate diverse data sources while ensuring scalability, compliance, security, and adherence to data governance standards.
• Develop backend data services and APIs supporting data-driven applications and analytics solutions.
• Collaborate with Data Architects, Business Analysts, Project Managers, Developers, and Analytics teams on business-focused data solutions.
• Support Agile delivery, continuous integration, code reviews, and operational excellence across the data platform lifecycle.

Requirements

• Hands-on experience designing and developing data engineering solutions with Databricks, Apache Spark, SQL, and Python.
• Proven experience building and supporting ETL and ELT pipelines in cloud environments such as AWS, Microsoft Azure, or GCP.
• Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture principles.
• Experience with relational and non-relational databases, cloud storage platforms, and large-scale distributed data processing frameworks.
• Understanding of data governance, security, access controls, data quality management, and regulatory compliance requirements.
• Familiarity with Agile practices, APIs, version control, continuous integration, and collaborative software engineering methodologies.
• Customer focus, a growth mindset, and the ability to collaborate across diverse teams and stakeholders.

Nice to have

• Experience with Microsoft Fabric and lakehouse architecture.
• Knowledge of Apache Kafka, Apache Hadoop, or other big data technologies.
• Experience developing real-time and streaming data solutions.
• Exposure to web data extraction and automation technologies.
• Understanding of data modelling, analytics platforms, and business intelligence solutions.
• Relevant cloud or Databricks certifications.

Culture & Benefits

• Full-time role in a flexible, hybrid-friendly culture focused on well-being, empathy, inclusion, and shared success.
• Be Well programs support financial, mental, physical, and social health.
• Access to career planning, personalized development goals, continuous feedback, coaching, certifications, and hands-on learning with Microsoft, Google, and Amazon technologies.
• Opportunities to grow toward Senior Data Engineer, Data Architect, Cloud Data Architect, Analytics Lead, or Technical Delivery Leader roles.

Hiring process

• When applying through an employee referral, select “Employee Referral” for “How Did You Hear About Us” and enter the referrer’s hirify.global email address.