Data Engineer Associate Manager

DXC Technology

Taguig

On-site

PHP 900,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Health Insurance (HMO) for you and dep
Life Insurance coverage from day 1
Vacation and Sick Leave
Maternity/Paternity benefits
Professional trainings and certs
Flexible work model

Job summary

DXC Technology Philippines in Taguig is seeking a Data Engineer Associate Manager to design, build, and optimize scalable data pipelines and analytics datasets using Azure Databricks and Microsoft Fabric.

You will collaborate with analytics and data science teams to translate requirements into robust data engineering solutions, supporting Power BI and AI use cases across enterprise platforms.

Qualifications

  • Strong expertise in SQL and Python.
  • Semantic data modeling concepts.
  • Experience building and supporting Data Warehousing and Business Intelligence platforms.
  • Excellent written and verbal communication skills.
  • Databricks: Python, PySpark, or Scala.
  • Microsoft Fabric (Lakehouse, Warehouses, Data Pipelines, notebooks).
  • Microsoft BI ecosystem: Power BI, Analysis Services (Tabular, DAX).
  • Experience with Big Data, distributed processing, and cloud-based data architectures.
  • Exposure to AI and Machine Learning use cases, including data preparation for ML/AI models.
  • Familiarity with Dev Ops, GitHub, and CI/CD.

Responsibilities

  • Design, build, and maintain scalable data pipelines, data models, and analytics datasets using Azure Databricks and Microsoft Fabric.
  • Develop and optimize ETL/ELT processes for high-volume, high-dimensional data supporting semantic data models, reporting, advanced analytics, and AI use cases.
  • Use SQL, Python, and distributed data processing frameworks to ensure performant, reliable, and reusable data assets.
  • Implement and manage analytics-ready data layers consumed by Power BI and AI solutions.
  • Support and enhance enterprise analytics platforms following the migration to Azure Databricks and Microsoft Fabric.
  • Collaborate with analytics, data science, and business teams to translate requirements into robust data engineering solutions.

Skills

SQL
Python
Data modeling
Data warehousing
BI platforms
Communication

Tools

Databricks
Microsoft Fabric
Power BI
Analysis Services

Job description

Data Engineer Associate Manager

Job Description

Data Engineer Associate Manager

DXC Technology Philippines

Taguig, National Capital Region, Philippines

About Dxc

DXC Technology is a Fortune 500 Global IT Services Leader and is ranked at 152. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses. We deliver excellence for our customers, colleagues and communities around the world.

Accelerate your career and reimagine the possibilities with DXC!

We inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer’s entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace.

“At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.” #DXCSMARTFirst

Roles and Responsibilities
  • Design, build, and maintain scalable data pipelines, data models, and analytics datasets using Azure Databricks and Microsoft Fabric.
  • Develop and optimize ETL/ELT processes for high-volume, high-dimensional data supporting semantic data models, reporting, advanced analytics, and AI use cases.
  • Use SQL, Python, and distributed data processing frameworks to ensure performant, reliable, and reusable data assets.
  • Implement and manage analytics-ready data layers consumed by Power BI and AI solutions.
  • Support and enhance enterprise analytics platforms following the migration to Azure Databricks and Microsoft Fabric.
  • Collaborate with analytics, data science, and business teams to translate requirements into robust data engineering solutions.
Job Qualifications
  • Strong expertise in SQL and Python.
  • Semantic data modeling concepts.
  • Experience building and supporting Data Warehousing and Business Intelligence platforms.
  • Excellent written and verbal communication skills.
Additional Qualifications
  • Databricks: Python, PySpark, or Scala.
  • Microsoft Fabric (Lakehouse, Warehouses, Data Pipelines, notebooks).
  • Microsoft BI ecosystem: Power BI, Analysis Services (Tabular, DAX).
  • Experience with Big Data, distributed processing, and cloud-based data architectures.
  • Exposure to AI and Machine Learning use cases, including data preparation for ML/AI models.
  • Familiarity with Dev Ops, GitHub, and CI/CD.
What Awaits You In DXC
  • Health Insurance (HMO) for you and dependents upon hiring
  • Life Insurance coverage from day 1 of employment
  • 15 ‐ 20 Days’ Vacation and 15 Days Sick Leave
  • Expanded maternity leave up to 120 days and Maternity Benefits
  • Expanded paternity leave up to 30 days
  • Non-Taxable Allowance (De-minimis)
  • Company-sponsored trainings upskilling, and certification
  • SMART First Working Arrangements
  • Healthy and Encouraging Work Environment
  • Recognition and Pay for Performance Culture
  • Supplemental Pay (Standby/Shift)
  • Retirement Program
  • Employee Assistance Program

We are DXC.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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