Data Engineer (Snowflake)
Summary
Data engineer who will modernise enterprise data pipelines and scale cloud data warehouse capabilities for a client organisation in Singapore. Day-to-day work centres on Snowflake, SQL and Python: building batch/streaming ingestion pipelines, designing dimensional models, and adding data quality, observability and governance controls.
We are partnered with an established organisation to look for a data engineer
In this role, you will be instrumental in modernising enterprise data pipelines and scaling modern cloud data warehouse capabilities. You will work closely with analytical teams and cross-functional technical stakeholders to deliver high-quality, trusted data assets supporting mission-critical reporting and strategic decision-making.
Key Responsibilities:
- Architect, construct, and maintain resilient batch and streaming data ingestion pipelines feeding enterprise cloud platforms.
- Design and optimise dimensional data models, analytical schemas, and storage layers within cloud data warehousing environments.
- Implement automated data quality checks, observability controls, and governance frameworks across multi-source operational feeds.
- Partner with downstream business intelligence and application teams to translate functional specifications into robust data products.
Requirements:
- Proven track record in data engineering with hands‑on expertise building scalable pipelines and data warehouses.
- Deep technical command of Snowflake, including performance tuning, data sharing, and workload management.
- Advanced proficiency in SQL alongside strong programming capabilities in Python or similar languages.
- Practical exposure to modern pipeline orchestration tools and public cloud platforms.
- Strong communication skills with the ability to articulate technical concepts to diverse stakeholders.