Data Engineer
Summary
Build and migrate data pipelines using SQL and dbt Core, moving legacy systems to Snowflake in a cloud migration program for a large enterprise analytics platform.
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
Overview
We're hiring an experienced Data Engineer to support critical analytics platforms and a multiphase data modernisation programme for an enterprisescale client. This long-term engagement supports both ongoing data platform operations and the delivery of a cloud migration initiative, transitioning legacy onprem data systems to a modern Snowflake and dbtbased architecture. This is handson and deliveryfocused, 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 daytoday data engineering activities for a large, businesscritical analytics platform Execute data migration workstreams from legacy databases and ETL tools to cloudbased 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 deliveryfocused manner Follow established engineering standards, controls, and documentation practices
Required Experience & Skills
4+ years of experience in data engineering or data platform roles Strong, handson SQL experience (nonnegotiable) 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 problemsolving 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 crossfunctional 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
Overview
We're hiring an experienced Data Engineer to support critical analytics platforms and a multiphase data modernisation programme for an enterprisescale client. This long-term engagement supports both ongoing data platform operations and the delivery of a cloud migration initiative, transitioning legacy onprem data systems to a modern Snowflake and dbtbased architecture. This is handson and deliveryfocused, 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 daytoday data engineering activities for a large, businesscritical analytics platform Execute data migration workstreams from legacy databases and ETL tools to cloudbased 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 deliveryfocused manner Follow established engineering standards, controls, and documentation practices
Required Experience & Skills
4+ years of experience in data engineering or data platform roles Strong, handson SQL experience (nonnegotiable) 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 problemsolving 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 crossfunctional 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