Temus
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Temus. Skills: Data engineering, Data pipelines, Cloud platforms. Develop data pipelines. Deliver data pipelines”
What You'll Achieve.
Place client value at center; Place human experience at center; Deliver value to clients; Drive material impact; Drive disruptive transformation
Industry & Context.
What They're Looking For.
Must Have
3-5 years designing data solutions, 3 years cloud data platforms experience, 3 years implementation experience serverless computing, 3 years implementation experience CI/CD, 3 years implementation experience containerisation, 3 years implementation experience IaC, 3 years implementation experience code version control, 3 years implementation experience automated testing, Mastered SQL querying, Excellent understanding SQL data storage structures, Excellent understanding SQL query optimisations, Proficient in Python, Proficient in .Net (C#)
Nice to Have
Experience with Tableau server, Knowledge of Kafka, Familiarity with agentic coding tools, Ability to work independently, Ability to work as part of a large team, Ability to work within an unstructured environment, Ability to multitask well
What You'll Do.
Develop data pipelines
Deliver data pipelines
Support automated systems
Support thought leadership development
How You'll Work.
Team & Collaboration
Work with partners; Work with clients; Work with colleagues
Communication Scope
Communicate with clients; Communicate with colleagues; Communicate with partners
Full Job Description
Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI. Title: Data Engineer Your Objectives Place client value and human experience at the center of everything we do. Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store data to support reporting, automated systems and AI/ML teams. Be a part of a world-class team of experts in data engineering. Be a part of a culture of excellence and with confidence, charisma, context, and humility, working effectively at all levels. Delivery Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors. Support thought leadership development as a team for data engineering and scaling deployments. Partnership Work with Temus' ecosystem of partners to deliver client value. Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs. Requirements Minimum 3–5 years of designing, building and operationalising data solutions and applications (with batch or streaming data). Hands-on experience with Databricks/Snowflake including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption. At least 3 years of experience with cloud data platforms on AWS (S3, RDS, Glue, Redshift), GCP (BigQuery, Bigtable, Dataflow, Cloud Storage), or Azure (Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Cosmos DB). Proficient in at least one core language: Python, .Net (C#). Experience with setup and administratio
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