Senior Data Platform Engineer

Hammerjack Pty Ltd; Taguig; Hybrid; PHP 1,674,000 - 2,567,000; Full time

Job summary

LanceSoft in Manila is seeking a Senior Data Platform Engineer for a 1-year contract with a hybrid work setup. The role focuses on designing, building, and maintaining scalable data platforms using Azure, Databricks, PySpark, and modern data pipelines.

You will collaborate with data analysts, developers, and stakeholders to deliver integrated data solutions, while ensuring code quality, security, and compliance with SDLC. Strong English communication is required.

Qualifications

• Bachelor of Science in IT/Engineering/Data Science or related field.
• At least five years of experience in data/platform/software engineering including architecture, design and development of integrated systems.
• Strong analytical and problem-solving skills.
• Experience with Microsoft Azure cloud services, CI/CD pipelines and Azure DevOps.
• Experience with IaC tools such as Terraform.
• Experience developing microservices for data integration (TypeScript or Python).
• Hands-on experience with data pipelines and modern data warehouse solutions (Databricks, Python, PySpark).
• Relational databases experience (PostgreSQL).
• Experience ingesting data from SharePoint Online, Excel, and other enterprise sources.
• Knowledge of Power BI semantic models, DAX, and REST API integration is an advantage.
• Familiarity with SDLC, project management, and Agile (Scrum/Kanban).
• Relevant certifications are an advantage.
• Experience with teams of five or more; ability to engage with executives and diverse stakeholders.
• Excellent English communication (oral and written).

Responsibilities

• Report to the Product Delivery Manager and coordinate with stakeholders.
• Contribute to high-level and detailed technical designs.
• Deliver unit-tested and secure code.

Skills

Azure

CI/CD

Azure DevOps

Terraform

TypeScript

Python

Databricks

PySpark

PostgreSQL

SharePoint

Power BI

REST API

Agile

Scrum

Kanban

SDLC

Communication in English

Education

Bachelor degree in IT/Engineering/Data Science or related field

Tools

Azure DevOps

Terraform

Databricks

PySpark

Job description

Greetings from LanceSoft

Location: Manila

1 year Contract Role

Work Setup: Hybrid Setup

Role: Senior Data Platform Engineer

Work Schedule is from 8:00AM – 5:00PM Manila Time.

Educational Requirements:

Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

Relevant Experience and Other Requirements:

At least five years of experience in data engineering, platform engineering, or software engineering, including the architecture, design, and development of integrated systems.

Strong analytical and problem-solving skills.

Proven experience with Microsoft Azure cloud services, including CI/CD pipelines and Azure DevOps.

Proven experience with Infrastructure as Code (IaC) tools such as Terraform.

Proven experience developing microservices for data integration using TypeScript or Python.

Hands-on experience developing data pipelines and modern data warehouse solutions using Databricks, Python, and PySpark.

Practical experience with relational databases, particularly PostgreSQL.

Experience ingesting data from SharePoint Online, Excel files, and other enterprise data sources.

Knowledge of Power BI semantic models, DAX, and REST API integration is an advantage.

Familiarity with software development lifecycle (SDLC), project management methodologies, and Agile frameworks such as Scrum or Kanban.

Relevant certifications in Secure Coding, Scrum, DevOps, Azure, or Databricks are an advantage.

Experience working in collaborative teams of five or more members.

Ability to engage effectively with senior executives and stakeholders from diverse cultural backgrounds.

Excellent oral and written communication skills in English.

Reporting and Coordination

The Senior Data Platform Engineer will report to the Product Delivery Manager and/or designated staff. The Data Platform Engineer will work closely with business stakeholders, data analysts, analytics engineers, and other teams within the organization.

High Level and Detailed Technical Designs

Unit Tested and Secure Code