Senior Azure Databricks Data Engineer — Migration Project

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

Benefits offered by this job

Private HMO & insurance from day one

13th-month pay

Training & certifications

Free snacks & coffee

Job summary

ERNI is seeking a Senior Data Engineer in the Philippines (Mandaluyong office) to design, build, and optimize scalable data pipelines on a cloud-native platform. You will work with Azure, Azure Databricks, Delta Lake, PySpark, and SQL to deliver analytics-ready data assets supporting business operations and insights.

You will collaborate with stakeholders across data analytics, BI, and product teams, ensuring data quality, governance, and timely delivery in a hybrid work setup.

Qualifications

• Minimum 8 years of professional data engineering experience with hands-on design and delivery of enterprise-scale data pipelines, data platforms, ETL/ELT processes, and analytics-ready datasets.
• Senior-level hands-on experience with Azure and Azure Databricks is required.
• Strong experience developing data engineering solutions using Databricks, PySpark, Spark SQL, Delta Lake, and SQL.
• Strong understanding of cloud-native data engineering patterns, including scalable ingestion, transformation, orchestration, monitoring, performance tuning, and production support.
• Experience building and maintaining data pipelines that process large volumes of structured, semi-structured, and unstructured data from multiple source systems.
• Strong experience with data modeling, data marts, curated data layers, and business-facing datasets for reporting, analytics, and operational consumption.

Responsibilities

• Design, develop, and optimize automated data pipelines, ETL/ELT workflows, data models, and curated data layers using Azure, Azure Databricks, Delta Lake, PySpark, SQL, and related cloud-native data engineering tools.
• Build scalable ingestion, transformation, validation, and publishing processes to support enterprise data consumption across reporting, analytics, application, and operational use cases.
• Partner directly with business stakeholders, product owners, data consumers, analytics teams, and subject matter experts to clarify business requirements, data definitions, transformation rules, data quality expectations, refresh requirements, and acceptance criteria.
• Translate business requirements into technical specifications, source-to-target mappings, data models, pipeline designs, delivery estimates, and implementation plans.
• Facilitate requirement-discovery discussions, playback sessions, technical walkthroughs, and solution reviews with both technical and non-technical stakeholders.
• Design and implement reliable data marts, analytical datasets, curated data products, and customized data extracts aligned with business priorities and consumption patterns.
• Develop reusable data engineering frameworks, patterns, and components that improve delivery speed, operational reliability, monitoring, and maintainability.
• Ensure data pipelines and data products are designed with appropriate controls for data quality, lineage, auditability, security, privacy, access management, and compliance.

Skills

Azure

Azure Databricks

Delta Lake

PySpark

Spark SQL

SQL

ETL/ELT

Data pipelines

Data modeling

Data quality

Tools

Git

CI/CD

DevOps

Airflow

Databricks Workflows

Azure Data Factory

Job description

ERNI is seeking a Senior Data Engineer in the Philippines (Mandaluyong office) to design, build, and optimize scalable data pipelines on a cloud-native platform. You will work with Azure, Azure Databricks, Delta Lake, PySpark, and SQL to deliver analytics-ready data assets supporting business operations and insights.

You will collaborate with stakeholders across data analytics, BI, and product teams, ensuring data quality, governance, and timely delivery in a hybrid work setup.