Logo for RecruitNest Consulting

Data Engineer (Azure)

Role overview

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

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

Key facts

Other skills

  • Problem Solving
  • Communication

About the company

RecruitNest Consulting logo

RecruitNest Consulting

Unknown

Company details

Company sizeUnknown

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

Other jobs at RecruitNest Consulting

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.