Information Technology - Lead Data Engineer (SG)

Singapore Airlines
Singapore
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 5+ yearsEducation: bachelorsSkills: ["Python","Kafka","Spark","Airflow","Databricks","AWS","S3","Redshift","PostgreSQL","CI/CD","Scrum","Kanban","Java","Scala","C#"]

Lead the design and implementation of distributed data ingestion and MLOps platforms for large-scale, near-real-time data processing. Build automated, self-service data platform capabilities, mentor data scientists, and drive cloud/on-premise data pipelines using cutting-edge technologies to ensure high data quality and robust SLAs.

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FursaFursa
Singapore Airlines
Singapore Airlines
3 months ago

Information Technology - Lead Data Engineer (SG)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead the design and implementation of distributed data ingestion and MLOps platforms for large-scale, near-real-time data processing. Build automated, self-service data platform capabilities, mentor data scientists, and drive cloud/on-premise data pipelines using cutting-edge technologies to ensure high data quality and robust SLAs.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and develop data engineering services and ecosystems using distributed databases, orchestration (Airflow), and distributed stream/batch processing (Kafka, Kinesis, Spark)
  • •Design and develop MLOps production pipelines and deploy ML/DL models at scale with SLAs on cloud and on-premises GPU/CPU instances
  • •Design data models for high-volume, near-real-time/batch data and build idempotent production data pipelines for fault tolerance
  • •Develop intuitive, automated, self-service data platform functions for business users
  • •Build, operate, and optimize scalable data pipelines on the Databricks platform and explore next-generation technologies for data-ingestion workflows

Key Requirements

  • •5+ years of relevant industry experience in Python/programming and data pipelines
  • •Experience building data pipelines (collection, warehousing, processing, monitoring, governance) using open-source data ingestion platforms
  • •Intermediate knowledge of AWS cloud components and data stores (S3, RedShift, Elasticache, PostgreSQL, EMR)
  • •Hands-on experience with Databricks workspace, cluster management, AI agent capabilities, and job orchestration
  • •Modern software development experience (web frontend UI, backend API microservices, CI/CD, Scrum/Kanban) and strong object-oriented or functional programming (Python/Java/Scala/C#)
Experience:5+ yearsData engineeringCloudBig dataMlopsDatabricks
Education:Bachelor's
Skills:PythonKafkaSparkAirflowDatabricksAWSS3RedshiftPostgreSQLCI/CDScrumKanbanJavaScalaC#
Languages:English
Tech Stack:PythonKafkaSparkAirflowDatabricksAWSS3RedshiftPostgreSQLCI/CDJavaScalaC#

Company Brief

Singapore Airlines
Flag carrier of Singapore providing international passenger and cargo air transportation, premium cabin services, and related travel products. Operates a global network with a reputation for service quality, modern fleet, and extensive partnerships.
Industry: Airlines
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Singapore, Singapore
Founded: 1972
WebsiteLinkedIn