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.

Contact

Lydia Chen (Lic No: R22108104 / EA no: 18C9065)

Quote job ref

JN-092026-7102512

Phone number

+65 6416 9829

Michael Page (Personnel) Pte Ltd | Registration No.201736642C

Senior Data Engineer/Data Architect (Azure & Databricks)