Analytics Engineer (Databricks)

TL;DR

Analytics Engineer (Databricks): Designing, building, and maintaining scalable data models in Databricks silver and gold layers with an accent on dimensional modeling, data contracts, and ETL/ELT development. Focus on optimizing transformation pipelines, ensuring data quality, and enabling business insights through reusable datasets.

Location: Manila, Philippines (office), with remote and hybrid options available. Relocation support to Philippines for eligible candidates.

Company

hirify.global is a licensed neobank focused on modern banking services for millions in the fast-growing Southeast Asia region, leveraging AI implementation and aiming to be a fintech unicorn.

What you will do

• Design, build, and maintain scalable data models in Databricks silver and gold layers.
• Partner with data scientists, platform engineers, and business analysts to ensure gold datasets meet business needs.
• Develop and optimize transformation pipelines using PySpark/SQL/Delta Live Tables/Databricks Workflows.
• Establish and maintain data quality metrics and governance standards for silver and gold tables.
• Build reusable, business-friendly datasets that power dashboards, self-service BI tools, and advanced analytics.
• Optimize Databricks SQL queries and Delta Lake performance.

Requirements

• Strong SQL expertise, including writing complex, performant queries and optimizing them on large datasets.
• Hands-on experience with dbt for building and maintaining models, writing reusable macros, and implementing tests and documentation.
• Data Modeling expertise with a strong understanding of dimensional modeling (facts, dimensions, star schemas) and ability to translate business requirements into scalable data models.
• Analytics Engineering mindset with a strong focus on data quality, reliability, consistency, and working closely with stakeholders.
• Experience with production-ready analytics, including data testing, monitoring, debugging, and familiarity with ELT pipelines and Git-based workflows.

Nice to have

• Python experience for data transformations or utilities (pandas).
• Experience working in Databricks notebooks or workflows and understanding its architecture.
• Knowledge of Apache Spark (Spark SQL or PySpark) for large-scale data processing.
• Understanding of Delta Lake tables, ACID transactions, and time travel.
• Experience with modern cloud data environments (Databricks, AWS, GCP, Azure) and lakehouse architectures.

Culture & Benefits

• Passionate international team spanning the globe.
• Rapid professional growth based purely on merit.
• Rewards tied to performance and long-term success of hirify.global.
• Fast track opportunities for international growth.
• Medical insurance, health and wellness benefits.
• Program of events and activities both online and in person.