We're looking for Lead Data Engineer / Data Engineering Manager to join our client to lead the design and delivery of scalable, cloud-based data solutions. In this role, you'll work closely with cross-functional teams to solve complex data challenges, modernize infrastructure, and shape strategic data platforms from the ground up.
You'll drive technical direction, design reusable solutions, and influence best practices in data engineering and governance across high-impact projects.
What You'll Do
- Advise on data strategy, architecture, and implementation.
- Build and optimize data pipelines across cloud and on-prem environments.
- Develop secure, scalable infrastructure for structured and unstructured data.
- Design reusable data models and maintain metadata and lineage.
- Ensure governance, data quality, and access controls are in place.
- Support both greenfield builds and legacy modernization efforts.
- Mentor teams and contribute to internal capability development.
What You Bring
- Over 10 years of experience in data engineering, platform or cloud infrastructure.
- Expertise in cloud platforms (AWS, Azure, GCP) and distributed systems (Spark, Hadoop).
- Proficient in Python, SQL, Java, Scala.
- Experience with orchestration tools (e.g. Airflow, ADF) and DevOps (Docker, Git, Terraform).
- Familiarity with Databricks and real-time/batch data pipelines.
- Strong grasp of data governance, security, and compliance practices.
- Clear communicator with strong stakeholder management skills.
- Proven ability to lead, mentor, and drive technical alignment across teams.
For more information you can contact Norean Tan at [Confidential Information]
We regret to inform you that only shortlisted candidates will be notified / contacted.
EA Registration No.: R1434118 - Tan Lee Ying, Norean
iKas International (Asia) Pte Ltd
ROC No.: 200914065E | EA License No.: 16S8086
