Senior Data Engineer
Nezda Technologies, Inc. · Philippines ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data engineering
Senior/Lead Data Engineer building and optimizing cloud data pipelines and backend data infrastructure using Microsoft Azure, Databricks, and Microsoft Fabric. Fully remote night-shift role (5:00 PM–2:00 AM, Mon–Fri) open to candidates based in the Philippines, with a Lead-level track adding technical leadership and mentorship.
Are you an experienced Data Engineer looking for a fully remote night-shift role that offers competitive pay, great allowances, and an extensive benefits package? We are currently hiring Senior and Lead Data Engineers to drive enterprise-level data solutions.
About the Company
We are a dynamic, growth-focused technology organization dedicated to building modern data architectures and delivering high-impact analytical solutions. We foster an inclusive, high-performing environment that rewards performance and prioritizes employee well-being.
About the Role
As a Senior or Lead Data Engineer, you will be responsible for building, optimizing, and supporting data pipelines and data solutions across cloud platforms. You will work closely with cross-functional teams to leverage state-of-the-art cloud tools and ensure seamless data ecosystem performance.
Key Responsibilities
- Design, construct, and maintain scalable data pipelines and backend data infrastructure.
- Implement and manage cloud-based data workflows using Microsoft Azure, Databricks, and Microsoft Fabric.
- Collaborate with engineering and product teams to refine operational efficiency and resolve data engineering challenges.
- (Lead level) Provide technical leadership, architectural guidance, and mentorship across engineering initiatives.
Must-Have Qualifications
- Demonstrated expertise in Microsoft Azure, Databricks, and Microsoft Fabric.
- Willingness to work a full remote schedule on a 5:00 PM – 2:00 AM, Monday to Friday shift.
- Based in the Philippines.
Good-to-Have
- Relevant Microsoft or Databricks certifications (e.g., Azure Data Engineer Associate).
- Experience leading or mentoring junior data engineers.