Senior Data Engineer (Snowflake and DBT)
About the position
Our client, a leading global provider of high-quality food products, including well-known brands and value-added premium products, is seeking a Data Engineer to support the development and evolution of a modern cloud data platform built on Snowflake. The role will focus on building scalable data pipelines, supporting platform migration from Dataiku to DBT, and enabling high-quality data for analytics and business intelligence.
Responsibilities
ā¢ Design and develop data pipelines and transformation workflows using DBT.
ā¢ Build and optimize data models within Snowflake to support analytics and reporting.
ā¢ Support the migration of orchestration and transformation processes from Dataiku to DBT.
ā¢ Develop integrations between enterprise systems including CRM platforms and analytics environments.
ā¢ Ensure data quality, consistency, and reliability across the data platform.
ā¢ Implement and maintain data transformation best practices and coding standards.
ā¢ Produce clear technical documentation for pipelines, models, and processes.
ā¢ Collaborate with BI engineers, PM/BA, and Data Architects on platform design and improvements.
ā¢ Proactively identify performance issues and optimize data pipelines.
Requirements
ā¢ 4+ years of experience in data engineering or data platform development.
ā¢ Strong experience with Snowflake.
ā¢ Hands-on experience with DBT for data transformations.
ā¢ Advanced SQL skills and experience designing data models.
ā¢ Experience building ETL/ELT pipelines in modern data platforms.
ā¢ Familiarity with data integration patterns and enterprise system integrations.
ā¢ Experience working in collaborative analytics engineering environments.
ā¢ Ability to work with distributed teams with at least 4 hours overlap with US time zones.
Benefits
ā¢ Digital-First Approach: Great talent knows no borders! You can work from wherever you are ā we hire and collaborate with professionals worldwide.
ā¢ Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
ā¢ Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
ā¢ Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
ā¢ Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
Apply Now
Apply Now
Our client, a leading global provider of high-quality food products, including well-known brands and value-added premium products, is seeking a Data Engineer to support the development and evolution of a modern cloud data platform built on Snowflake. The role will focus on building scalable data pipelines, supporting platform migration from Dataiku to DBT, and enabling high-quality data for analytics and business intelligence.
Responsibilities
ā¢ Design and develop data pipelines and transformation workflows using DBT.
ā¢ Build and optimize data models within Snowflake to support analytics and reporting.
ā¢ Support the migration of orchestration and transformation processes from Dataiku to DBT.
ā¢ Develop integrations between enterprise systems including CRM platforms and analytics environments.
ā¢ Ensure data quality, consistency, and reliability across the data platform.
ā¢ Implement and maintain data transformation best practices and coding standards.
ā¢ Produce clear technical documentation for pipelines, models, and processes.
ā¢ Collaborate with BI engineers, PM/BA, and Data Architects on platform design and improvements.
ā¢ Proactively identify performance issues and optimize data pipelines.
Requirements
ā¢ 4+ years of experience in data engineering or data platform development.
ā¢ Strong experience with Snowflake.
ā¢ Hands-on experience with DBT for data transformations.
ā¢ Advanced SQL skills and experience designing data models.
ā¢ Experience building ETL/ELT pipelines in modern data platforms.
ā¢ Familiarity with data integration patterns and enterprise system integrations.
ā¢ Experience working in collaborative analytics engineering environments.
ā¢ Ability to work with distributed teams with at least 4 hours overlap with US time zones.
Benefits
ā¢ Digital-First Approach: Great talent knows no borders! You can work from wherever you are ā we hire and collaborate with professionals worldwide.
ā¢ Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
ā¢ Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
ā¢ Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
ā¢ Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
Apply Now
Apply Now