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Open nowFirst seen 32 hours ago

Azure Data Engineer

PM Consulting1,469 open roles

Where
Taguig, Metro Manila, Philippines
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Your applicationOpen nowAzure Data EngineerPM Consulting · Taguig, Metro Manila, Philippines

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. PM Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 32 hours ago

PM Consulting median: 1 days open

The posting

About the Role Our client is seeking a Data Engineer to support the development, enhancement, and maintenance of a modern cloud-based data platform. This role will play a key part in building scalable data solutions that enable advanced analytics, reporting, predictive insights, and AI-driven decision-making.

The successful candidate will work across multiple business functions, developing robust data infrastructure and ensuring reliable data processes that support operational and strategic objectives. This position is ideal for someone passionate about transforming complex data into meaningful business insights through scalable engineering solutions.

Key Responsibilities

  • Support the administration, maintenance, and optimization of the organization's central data platform to ensure reliability, availability, and performance.
  • Design, develop, and maintain data pipelines that integrate data from APIs, databases, files, and streaming sources.
  • Implement and monitor data quality controls to ensure accuracy, consistency, and reliability of data assets.
  • Build and maintain monitoring, alerting, and data integrity processes across data solutions.
  • Develop and manage automated build, deployment, and release processes for data platforms.
  • Enhance and support enterprise data warehouse environments.
  • Partner with business analysts and stakeholders to translate requirements into scalable technical solutions.
  • Contribute to the architecture, design, and continuous improvement of the organization's data platform.
  • Participate in projects involving data migration, ETL development, data modeling, reporting solutions, and process automation.
  • Promote data-driven decision-making by providing trusted and accessible data solutions across the organization.

Qualifications

  • Proven experience in a Data Engineer or similar data-focused role.
  • Strong experience implementing data solutions within Microsoft Azure environments.
  • Hands-on expertise with Azure data technologies such as:
  • Microsoft Fabric
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure SQL / SQL Server-based solutions
  • Experience designing and working with dimensional data models for analytics and reporting.
  • Solid understanding of ETL/ELT concepts, methodologies, and best practices.
  • Experience using Python or PySpark for data processing, automation, and scripting.
  • Knowledge of CI/CD practices and deployment automation for data platforms.
  • Strong SQL development skills, including experience with:
  • Microsoft SQL Server
  • SSIS
  • SSDT
  • Visual Studio-based database projects
  • Experience implementing data quality, monitoring, and governance practices is highly desirable.

Education

  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
  • Equivalent practical experience may be considered.

What You'll Be Doing As part of a technology and data-focused team, you will work on a variety of initiatives involving:

  • Data platform development and optimization
  • Data integration and migration projects
  • Data warehouse enhancements
  • Analytics enablement
  • Business intelligence and reporting support
  • Cloud-based data engineering solutions

You will collaborate with technical and business stakeholders to deliver reliable, scalable, and efficient data services that support organizational growth and informed decision-making.

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