Senior Data Engineer/Data Architect (Azure & Databricks)

Michael Page Singapore; Singapore; On-site; SGD 140,000 - 200,000; Full time

Benefits offered by this job

Comprehensive medical and wellness

Clear career progression

Training and certifications

Collaborative culture

Impactful projects

Exposure to innovative tech

Mentorship opportunities

Long-term career stability

Job summary

Michael Page Singapore is seeking a senior data engineering leader to design, build, and scale Azure-based data platforms using Databricks in a Singapore-based environment.

The ideal candidate will ensure data quality, collaborate with analytics and AI/ML teams, and drive governance and visualization via Power BI to support business decisions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field (Master's preferred).
• 8+ years in data engineering, integration, modelling, optimization, data quality.

Skills

Python

SQL

Azure Databricks

Power BI

Data Governance

CI/CD

DevOps

Education

Bachelor's or Master's in CS/DS/SE/IS

Tools

Azure DevOps

Databricks

Unity Catalog

Purview

Job description

• Work on impactful projects with strong career growth opportunities.


• Join a high-performing team that values innovation and development

About Our Client

Our client is a respected and growing organisation known for its strong market presence, commitment to innovation, and investment in its people. They foster a collaborative and inclusive culture where employees are empowered to contribute ideas, take ownership, and make a meaningful impact. With a focus on continuous improvement and professional development, the business offers excellent opportunities for career progression and long-term success.

Job Description

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field; Master's degree preferred.


• At least 8 years of experience in data engineering, integration, modelling, optimization, and data quality.


• At least 4 years of hands-on experience designing and implementing Azure-based data platforms with Databricks.


• Strong proficiency in Python (PySpark) and SQL; Java or Scala experience is a plus.


• Solid understanding of relational and NoSQL databases; Oracle experience is advantageous.


• Experience with Azure DevOps, CI/CD pipelines, version control, and automated deployments.


• Hands-on experience with Databricks LakeFlow Jobs and modern DevOps practices.


• Familiarity with Unity Catalog, Microsoft Purview, and data governance frameworks.


• Exposure to Power BI or other data visualization tools preferred.


• Experience supporting AI/ML workflows, feature engineering, and production inference environments is highly desirable.

The Successful Applicant

The ideal candidate is a proactive and results-driven professional with strong communication and problem-solving skills. They will have experience working in a fast-paced environment, managing multiple priorities, and collaborating with diverse stakeholders. A positive attitude, growth mindset, and ability to take ownership of responsibilities will be key to success in this role.

What's on Offer

• Comprehensive medical and wellness benefits.


• Clear career progression and internal mobility opportunities.


• Access to training, certifications, and professional development programmes.


• Collaborative and inclusive company culture.


• Opportunity to work on impactful projects with talented professionals.


• Exposure to innovative technologies, processes, and industry-leading practices.


• Supportive leadership team and strong mentorship opportunities.


• Long-term career stability within a growing organisation.