Data Engineer

About the role

Temus, a Temasek-backed consulting firm delivering digital transformation solutions for the private and public sectors, is hiring a Data Engineer. You will build large-scale enterprise data pipelines that capture, transform and store data to support reporting, automated systems and AI/ML, working in a world-class team of data engineers.

Key responsibilities

• Develop and deliver data pipelines that drive material impact and disruptive transformation for clients in the public and private sectors.
• Support thought leadership development for data engineering and help scale deployments.
• Partner with Temus' ecosystem of partners to deliver client value.
• Adopt a cloud-first strategy, partnering with vendors to support specific public sector needs.

Required profile

• 3-7 years designing, building and operationalizing data solutions and applications (batch or streaming).
• Hands-on experience setting up, configuring and administering Databricks and Snowflake on cloud infrastructure, then on-boarding data sources, building pipelines and data assets.
• Experience with AWS cloud data platforms (S3, RDS, Glue, Redshift).
• Strong communication and relationship-building skills with clients, colleagues and partners; ability to work independently, in a large team and in an unstructured environment.

Required skills

• Proficiency in at least one core language: Python or .NET (C#).
• SQL: excellent understanding of storage structures and query optimization, able to build reports with joins, reference tables, groupings and statistics.
• Knowledge of Kafka (producers, topics, consumers).
• Added advantage: Tableau Server setup and administration.
• Exposure to serverless computing, CI/CD, containerization, infrastructure as code, version control and automated testing.