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Singapore Airlines
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Information Technology - Data Analytics Engineer
Singapore
· Full-time
·
Not Applicable
Job Description
The Data & Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.
Key Responsibilities
Requirements
The Data & Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.
Key Responsibilities
- Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines Group.
- Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
- Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.
- Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
- Design, build and manage data marts to satisfy our growing data needs.
- Be part of a project team to manage and deliver project deliverables, resources and timelines.
- Any other ad-hoc duties.
- This is an individual contributor role.
Requirements
- BS degree in Data Science & Analytics, Computer Science or a related technical field.
- Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them.
- Ability in analysing data to identify deliverables, gaps and inconsistencies.
- Good critical thinking and problem-solving abilities.
- Ability to work independently and manage multiple task assignments.
- More than 2 years of SQL and Python experience is required.
- Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.
- Experience in ETL pipeline design, implementation and maintenance.
- Experience working with visualization tools (specifically Tableau would be preferred).
Key Skills
Ranked by relevance
big data
tableau
python
devops
sql
aws
gcp
etl
sla
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- Posted
- May 24, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
- Company
- Singapore Airlines
Industries
Airlines
Aviation
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-24
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View Job Details
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Artificial Intelligence Specialist
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Data Scientist (Manager), Airport Operations Technology & Corporate IT
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