Data Engineer

Overview We’re hiring an experienced Data Engineer to support critical analytics platforms and a multi‑phase data modernisation programme for an enterprise‑scale client. This long-term engagement supports both ongoing data platform operations and the delivery of a cloud migration initiative, transitioning legacy on‑prem data systems to a modern Snowflake and dbt‑based architecture. This is hands‑on and delivery‑focused, suited for a technically strong engineer who can operate independently in a structured enterprise environment. Key Responsibilities • Build, maintain, and migrate data transformation pipelines using SQL and dbt Core • Support day‑to‑day data engineering activities for a large, business‑critical analytics platform • Execute data migration workstreams from legacy databases and ETL tools to cloud‑based platforms • Balance project delivery with BAU operational support as required • Improve existing data processes through automation and efficiency gains • Ensure reliability, data quality, and maintainability of production data pipelines • Collaborate with internal engineers and external vendor partners to deliver outcomes • Participate in technical discussions, reviews, and live pair programming sessions • Track and resolve data issues, incidents, and enhancement requests in a delivery‑focused manner • Follow established engineering standards, controls, and documentation practices Required Experience & Skills • 4+ years of experience in data engineering or data platform roles • Strong, hands‑on SQL experience (non‑negotiable) • Practical experience working with dbt Core • Exposure to Snowflake or similar cloud data warehouse platforms • Proven experience with Python for data engineering or automation • Strong analytical and problem‑solving capabilities • Ability to work independently, manage priorities, and deliver with minimal supervision • Comfortable operating in production, enterprise environments • Strong communication and collaboration skills when working with cross‑functional teams Nice to Have • Experience with cloud platforms (AWS, Azure, or GCP) • Experience working in large, regulated, or enterprise organisations • Exposure to Agile or SDLC methodologies (Scrum, Kanban) • Prior involvement in data platform migration or uplift initiatives • Financial services or complex data domain exposure We regret to inform that only shortlisted candidates will be notified. EA registration number : ANDREW JONAS MATTHEW, R21103843 Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544