Data Engineer; Food and Beverage Manufacturing

Data Engineer (Food and Beverage Manufacturing) Locations

• Bulgaria
• Georgia
• Lithuania
• Mexico
• Moldova
• Poland
• Ukraine

The customer is a well-established global leader in the food manufacturing industry, committed to delivering innovative data solutions to enhance operational insights across a diverse customer base. With a growing SaaS ecosystem, they are now investing in embedded analytics to support real-time, usage-based reporting directly within their core application.

The project is focused on implementing native analytical dashboards within a cloud-based SaaS platform. This includes building scalable and cost-efficient data pipelines, transforming raw transactional data into formats optimized for analytics, and leveraging cutting-edge AWS technologies such as Athena, Glue, and S3 tables.

• Glue
• S3 tables
• AWS

• Design and implement in-app analytics and KPI dashboards within a cloud-native SaaS architecture
• Build and optimize data pipelines to curate data from Oracle/Postgre
  
  SQL sources into S3 using AWS DMS and Glue
• Develop Parquet/Iceberg-based analytical datasets for querying via Athena
• Optimize queries, catalog structure, and data partitions for performance and cost-effectiveness
• Build secure, intermediate data layers to support external reporting and customer-facing dashboards
• Support frontend engineers by integrating data via App Sync and asynchronous query models
• Conduct architectural reviews and improve the performance of existing analytical queries
  
  Document data flows, catalog schema, and operational procedures to support the transition during architect leave
• Mentor and support upskilling of internal team members working on the analytics stack

• 5+ years of experience in data engineering or data analytics
• Strong hands‑on experience with AWS Athena, Glue, and S3 in production environments
• Proven knowledge of data lake architectures and AWS DMS
• Experience working with Parquet and/or Apache Iceberg file formats
• Proficiency in designing and maintaining efficient catalog structures for analytics
• Strong SQL skills, especially in Postgre
  
  SQL; familiarity with Oracle-to-Postgres migration
• Solid understanding of ETL/ELT workflows, data transformation, and performance optimization
• Experience working with frontend teams and exposing data to reporting interfaces
• English level: B1+ (spoken and written)

• Experience integrating data with React / App Sync dashboards
• Familiarity with Apache Iceberg and best practices for large datasets
• Background working with ERP systems or financial data pipelines
• Understanding of usage‑based cloud cost optimization strategies

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Sep 25, 2025 12:50