Data Engineer

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