Senior Azure Databricks Data Engineer (Hybrid)

ERNI; Manila; Hybrid; PHP 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Private HMO and insurance from day one

5-year jubilee trip to European ERNI

13th-month pay

Free training and certifications

Office snacks and coffee

Hybrid work setup

Career development opportunities

Global exposure

Job summary

ERNI invites a Senior Data Engineer to join our growing APAC team in Mandaluyong, Manila, with a hybrid work setup. You will design and optimize data pipelines, enable analytics-ready datasets, and partner with stakeholders to translate requirements into scalable solutions.

You will work on Azure and Databricks-based architectures, implement governance and data quality controls, and help advance our modern data platform for global clients across finance, MedTech, and more.

Qualifications

• 8+ years of professional data engineering experience with enterprise-scale data pipelines and analytics-ready datasets.
• Strong Azure and Azure Databricks expertise with Databricks SQL, PySpark, Delta Lake.
• Experience with cloud-native data engineering patterns, ingestion, transformation, orchestration, and monitoring.
• Experience building pipelines from multiple source systems processing structured and semi/unstructured data.
• Data modeling, data marts, curated layers, and consumer datasets for reporting and analytics.
• Ability to clarify requirements with stakeholders and translate them into technical specs.
• Experience with data governance, lineage, security, and compliance in cloud environments.
• Experience with job orchestration and scheduling tools (Azure Data Factory, Databricks Workflows, Airflow).
• Strong troubleshooting, root-cause analysis, and production incident handling.
• Excellent communication and ability to work independently in cross-functional teams.

Responsibilities

• Design, develop, and optimize automated data pipelines, ETL/ELT workflows, data models, and curated data layers.
• Build scalable ingestion, transformation, validation, and publishing processes for enterprise data consumption.
• Collaborate with stakeholders to clarify requirements and translate business rules into technical delivery plans.
• Develop reusable data engineering patterns and components to improve delivery speed and reliability.
• Ensure data quality, lineage, security, and compliance with governance standards.
• Monitor pipeline health, troubleshoot incidents, and optimize performance and cost.

Skills

Azure

Azure Databricks

Delta Lake

PySpark

Spark SQL

SQL

ETL/ELT

Data pipeline design

Data modeling

Data quality controls

Production support

Performance tuning

Stakeholder requirements

Tools

Git

CI/CD

Databricks Workflows

Airflow

Job description

ERNI invites a Senior Data Engineer to join our growing APAC team in Mandaluyong, Manila, with a hybrid work setup. You will design and optimize data pipelines, enable analytics-ready datasets, and partner with stakeholders to translate requirements into scalable solutions.

You will work on Azure and Databricks-based architectures, implement governance and data quality controls, and help advance our modern data platform for global clients across finance, MedTech, and more.