We're looking for a hands-on, strategic Data Engineer to take the lead on our system data integrations and keep our centralized data setup running smoothly. You'll play a key role in helping the whole organization make smart, data-driven decisions by making sure everything connects seamlessly and integrates between business platforms Snowflake, Azure and PowerBI.

In this role, you’ll be the go-to person for designing and delivering our data integration strategy. You'll work closely with teams across the business to make sure data flows reliably and is transformed properly for reporting, analysis, and business insights.

Key Responsibilities

• Lead and manage data integrations between business systems (eg POS, inventory management, delivery platforms) and the central data warehouse.
• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Own and optimize the Snowflake data warehouse to ensure performance, reliability, and scalability.
• Collaborate with business stakeholders to gather data requirements and translate them into actionable analytics solutions.
• Build and maintain Power BI dashboards and reports to support key business metrics and insights.
• Ensure data quality, consistency, and governance across all systems.
• Work closely with engineering, product, and operations teams to align on data structure and strategy.
• Develop documentation, data models, and best practices for data architecture and reporting processes.
• Monitor and troubleshoot data pipelines and integration issues.

Required Qualifications

• 5+ years of experience in data science, business analytics, or data engineering roles.
• Strong proficiency in SQL and experience working with Snowflake.
• Hands-on experience with Power BI for dashboarding and reporting.
• Proven track record managing and integrating multiple business systems with a centralized data warehouse.
• Strong understanding of data architecture, ETL/ELT pipelines, and data modeling best practices.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills, especially with non-technical stakeholders.

Qualifications

• Experience with scripting languages for data transformation and automation.
• Familiarity with data governance frameworks and security best practices.
• Background in business intelligence, finance, or operations analytics.
• Experience with Azure (logicapps) an advantage

We're looking for a hands-on, strategic Data Engineer to take the lead on our system data integrations and keep our centralized data setup running smoothly. You'll play a key role in helping the whole organization make smart, data-driven decisions by making sure everything connects seamlessly and integrates between business platforms Snowflake, Azure and PowerBI.

In this role, you’ll be the go-to person for designing and delivering our data integration strategy. You'll work closely with teams across the business to make sure data flows reliably and is transformed properly for reporting, analysis, and business insights.

Key Responsibilities

• Lead and manage data integrations between business systems (eg POS, inventory management, delivery platforms) and the central data warehouse.
• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Own and optimize the Snowflake data warehouse to ensure performance, reliability, and scalability.
• Collaborate with business stakeholders to gather data requirements and translate them into actionable analytics solutions.
• Build and maintain Power BI dashboards and reports to support key business metrics and insights.
• Ensure data quality, consistency, and governance across all systems.
• Work closely with engineering, product, and operations teams to align on data structure and strategy.
• Develop documentation, data models, and best practices for data architecture and reporting processes.
• Monitor and troubleshoot data pipelines and integration issues.

Required Qualifications

• 5+ years of experience in data science, business analytics, or data engineering roles.
• Strong proficiency in SQL and experience working with Snowflake.
• Hands-on experience with Power BI for dashboarding and reporting.
• Proven track record managing and integrating multiple business systems with a centralized data warehouse.
• Strong understanding of data architecture, ETL/ELT pipelines, and data modeling best practices.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills, especially with non-technical stakeholders.

Qualifications

• Experience with scripting languages for data transformation and automation.
• Familiarity with data governance frameworks and security best practices.
• Background in business intelligence, finance, or operations analytics.
• Experience with Azure (logicapps) an advantage