Data Engineer (Azure)

RecruitNest Consulting

Taguig

On-site

PHP 558,000 - 892,800

Full time

14 days+

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Job summary

RecruitNest Consulting is seeking a skilled Data Engineer to join their client's team in Metro Manila. The ideal candidate will design, build, and maintain Azure-based data solutions, support analytics initiatives, and transition clients to modern reporting tools.

Qualifications include a Bachelor's degree in a relevant field and at least 2 years of experience in data engineering. This full-time role involves high-impact projects with a focus on delivering data-driven insights.

Qualifications

  • 2+ years of solid experience as a Data Engineer or in a similar role.
  • Hands-on experience with Azure services including Data Factory, Functions, and SQL Database.
  • Experience implementing Medallion Architecture for scalable data platforms.

Responsibilities

  • Develop, maintain, and optimize data pipelines using Azure services.
  • Design and implement scalable data solutions following Medallion Architecture.
  • Support clients in transitioning to robust Power BI solutions.

Skills

Azure Data Factory
SQL Database
Power BI
REST APIs
Analytical Skills
Troubleshooting

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Functions
Data Science Platforms

Job description

Job Expectations:
  • Position Type: Experienced - Mid/Senior
  • Employment Type: Full-Time, Independent Contractor (Direct Hire)
  • Work Setup & Location: Occasionally Onsite - Metro Manila
  • Work Schedule: Weekdays; Mid Shift
  • Industry: Technology / Software Development (SaaS)
About the Job:

We are looking for a Data Engineer to join our client's team and help design, build, and maintain scalable data solutions on Microsoft Azure. In this role, you will develop reliable data pipelines, support data-driven decision-making, and help organizations modernize their reporting and analytics capabilities. You will work closely with clients and other data specialists to deliver impactful insights, optimize business processes, and ensure data is accessible, accurate, and actionable.

Key Responsibilities:
  • Develop, maintain, and optimize data pipelines using Azure services such as Data Factory, Functions, Storage, and SQL.
  • Design and implement scalable data solutions following Medallion Architecture (Bronze, Silver, Gold).
  • Integrate data from various sources, including REST APIs and external systems.
  • Support clients in transitioning from spreadsheet-based reporting to robust Power BI solutions.
  • Collaborate with stakeholders to understand business requirements and translate them into data solutions.
  • Provide recommendations to improve business processes through data and analytics.
  • Monitor, troubleshoot, and enhance data workflows to ensure reliability and performance.
  • Work closely with data analysts, BI developers, and other data specialists on client projects.
  • Manage multiple projects simultaneously while maintaining quality and meeting deadlines.
  • Ensure data governance, security, and best practices are followed across solutions.
Qualifications:
  • Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • 2+ years of solid experience as a Data Engineer or in a similar role.
  • Hands-on experience with Azure (Data Factory, Azure Functions, SQL Database, or Synapse).
  • Experience implementing Medallion Architecture (Bronze, Silver, Gold) for scalable data platforms.
  • Knowledge of REST APIs and authentication methods.
  • Experience with Power BI and modern data reporting environments is highly preferred.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Client-focused mindset with excellent communication and stakeholder management skills.

Due to the increasing number of fraudulent and misrepresented applications, all shortlisted candidates will undergo comprehensive identity, employment, and credential verification as part of the hiring process.

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