Data Engineering Manager

IKAS INTERNATIONAL (ASIA) PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A prominent data solutions provider in Singapore is seeking a Lead Data Engineer/Data Engineering Manager. You’ll lead the design and delivery of cloud-based data solutions, working with cross-functional teams to address complex data challenges. Candidates should have over 10 years of experience in data engineering, proficiency in cloud platforms, and the ability to mentor teams. This role emphasizes governance, security, and the development of scalable data solutions.

Qualifications

• 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).

Responsibilities

• 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.

Skills

Data strategy

Cloud platforms (AWS, Azure, GCP)

Distributed systems (Spark, Hadoop)

Python

SQL

Java

Scala

Orchestration tools (e.g. Airflow, ADF)

DevOps (Docker, Git, Terraform)

Data governance

Job description

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 [e-mail]

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