Senior Data Engineer: Scalable Data Pipelines & AI

Temus

Singapore

On-site

SGD 120,000 - 180,000

Full time

12 hours ago

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Job summary

Temus is a Singapore-based consulting firm delivering digital transformation for private and public sectors. We build enterprise data pipelines to capture, transform and store data for reporting, automation and AI/ML, and work with partners to scale deployments cloud-first.

We seek experts in data engineering to join our world-class team in Singapore. With 3–7 years of experience, you will design and operationalize data solutions, leverage Databricks/Snowflake on cloud, and collaborate across a

Qualifications

3–7 years designing, building and operationalizing data solutions (batch/streaming).
Hands-on with Databricks and Snowflake on cloud infrastructure, building data pipelines and assets.
Experience with AWS data platforms (S3, RDS, Glue, Redshift).
Proficient in Python and C#.
Tableau Server setup/administration is a plus.
Knowledge of Kafka for data streaming.
Strong SQL querying and data storage/optimisation.
Exposure to Serverless, CI/CD, Containerisation, IaC and automated testing.

Responsibilities

Deliver large-scale data pipelines to drive enterprise impact across public and private sectors.
Support thought leadership and scaling deployments in data engineering.
Collaborate with Temus ecosystem partners to deliver client value and cloud-first solutions.