Senior Data Engineer - AI & ML Platform Leader

Home Credit Philippines; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Dayshift schedule

Bonuses up to 20%

HMO on Day 1 & dependents

Mental health support

Wellness leaves and birthday leave

Career mobility

Learning opportunities

Job summary

Home Credit Philippines is seeking a Digital Senior Data Engineer to design, develop, and support SQL, ETL and BI processes, enabling data delivery to digital platform analytics and marketing performance.

You will build datamarts, orchestrate Databricks/Snowflake pipelines, lead AI/ML initiatives, and collaborate with data scientists and engineers to deploy scalable AI solutions. The role includes a permanent dayshift, growth opportunities, and comprehensive health benefits.

Qualifications

• 4–6 years of data science or data engineering experience.

Responsibilities

• Ingest data maps into Unified Data Platform.
• Create ETL/ELT workflows for data ingestion and transformations.
• Lead AI initiatives and align with business operations.
• Guide AI/ML decisions and optimize models.
• Develop and deploy ML models and data pipelines.
• Test AI applications for accuracy and performance; prompt engineering.
• Collaborate with engineers and data scientists.
• Improve efficiency with AI-driven automation.
• Identify opportunities for AI innovations.
• Troubleshoot AI issues and optimize ML models.
• Lead and mentor AI/ML engineers.
• Align AI/ML initiatives with business goals.

Skills

Data engineering

ETL/ELT

Databricks

Snowflake

Python

ML concepts

LLM frameworks

Prompt engineering

NLP techniques

AI ethics

MLOps

Azure

CI/CD

Kubernetes

Google Analytics

Tools

Azure ML

Databricks

Kubernetes

Job description

Home Credit Philippines is seeking a Digital Senior Data Engineer to design, develop, and support SQL, ETL and BI processes, enabling data delivery to digital platform analytics and marketing performance.

You will build datamarts, orchestrate Databricks/Snowflake pipelines, lead AI/ML initiatives, and collaborate with data scientists and engineers to deploy scalable AI solutions. The role includes a permanent dayshift, growth opportunities, and comprehensive health benefits.