Editorial summary

The company is seeking an experienced Data BAU Lead specializing in data engineering to oversee data operations, production support, and continuous improvement within a cloud-first environment. The role involves leading a team of Data Engineers, managing BAU activities, incident resolution, and platform stability, as well as designing and supporting scalable data pipelines and facilitating migration to modern data platforms such as Snowflake, Spark, and AWS Glue. Candidates must be comfortable working on weekends and shifts as required. The position offers a salary of 12,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 23681 first appeared in Job-Q.com on 04 Aug 2026]

Note: Successful candidates need to be comfortable with working on weekends and shift as and when required
We are looking for an experienced Data BAU Lead to lead data engineering operations, production support, and continuous improvement in a cloud-first environment.

Key Responsibilities

• Lead a team of Data Engineers managing BAU operations, production support, incidents, and platform stability.
• Design, develop and support scalable data pipelines, data feeds, data lakes and data warehouses.
• Drive migration of legacy Oracle, MS-SQL, Hive and Impala workloads to Snowflake, Spark and AWS Glue.
• Work closely with business, architects, Data Scientists and DevOps teams to deliver data solutions.
• Improve data quality, performance, monitoring, automation and operational efficiency.
• Support data strategy, architecture, security and governance initiatives.
• Any other ad-hoc duties as assigned by the supervisor

Key Skills & Experience

• Good to have more than 7 years of Data Engineering experience, including 2+ years in hands-on Lead/Production Support roles.
• Strong expertise in AWS – S3, Glue, DMS, MWAA/Airflow, IAM, Lambda, RDS, Kinesis and Step Functions.
• Strong Snowflake expertise and data warehouse/data lake experience.
• Hands-on programming skills in SQL, Python, PySpark, Spark and Unix Shell.
• Experience with ETL, data ingestion, data integration, distributed systems and large-scale datasets.
• Strong understanding of CI/CD, Git, Agile/SDLC and cloud optimization.
• Proven experience in team leadership, stakeholder management and production/BAU environments.
• Bachelor’s degree in computer science, Engineering, STEM or related field

Interested applicants, please email your resume to Karin Chan Wei Kien

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