Senior Data Engineer: Azure Databricks & Data Platform

Home Credit Philippines; Philippines; Hybrid; PHP 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Hybrid work setup

Permanent dayshift

20% bonus potential

HMO on Day 1

Mental health coverage

Wellness leave

Career mobility

International offices

Job summary

Home Credit Philippines is seeking a Lead Data Engineer to drive breakthrough initiatives in a hybrid work setup. You will lead a high-performance data engineering team, guide architecture, and ensure robust, compliant data platform solutions across Azure and Databricks.

Key responsibilities include collaborating with analysts and architects on designs, providing technical direction, and mentoring team members while aligning with governance and privacy policies.

Qualifications

• 10+ years in data engineering
• 10 years in data technologies (Cloudera-cloud/on prem) or equivalent
• Advanced Databricks and Azure skills
• Familiarity with data science tasks
• Familiarity with data governance
• DWH experience is a plus
• Oracle GoldenGate knowledge a plus
• Strong technical knowledge: Databricks, Python, ETL, data architecture
• Hands-on Azure cloud capability
• Ability to train team members in solutions

Responsibilities

• Act as Lead Data Engineer for breakthrough initiatives ensuring technical requirements are met with quality.
• Provide technical guidance to the Data Engineering team.
• Collaborate with Business Analysts and architects on solution design.
• Coordinate with infra and architecture teams for robust, standards-compliant solutions.
• Work with infra for maintenance, DR and platform upgrades.
• Provide upskilling plans to elevate data engineering capabilities in Azure and Databricks.
• Define future roadmap for unified data platform with governance and privacy compliance.
• Serve as senior SME for the data engineering team.

Skills

Databricks

Azure

Python

ETL

Data architecture

SQL

Kafka

RabbitMQ

CI/CD

Data governance

Job description

Home Credit Philippines is seeking a Lead Data Engineer to drive breakthrough initiatives in a hybrid work setup. You will lead a high-performance data engineering team, guide architecture, and ensure robust, compliant data platform solutions across Azure and Databricks.

Key responsibilities include collaborating with analysts and architects on designs, providing technical direction, and mentoring team members while aligning with governance and privacy policies.