Senior Data Engineer (italy, Portugal, Remote, M,d,f) - Remote Eligible

Senior Data Engineer

We are looking for a Senior Data Engineer to shape and scale our open lakehouse data platform built on Snowflake (compute) and Apache Iceberg tables on AWS S3. You'll own end-to-end design and evolution of robust, scalable pipelines that power analytics, ML, and customer-facing features across our SaaS digital advertising products.

You'll collaborate with Product and Engineering to keep systems performant, reliable, and business aligned. You'll ship hands-on, lead technical design, run code reviews, and mentor others in modern data engineering practices.

To thrive here, you need:

• Deep expertise in open lakehouse architectures – Snowflake as compute + Apache Iceberg on cloud object storage
• Hands-on production experience with:
• Iceberg catalog management (Apache Polaris, Glue, or Hive)
• Time-travel / snapshot queries
• Partition evolution & schema evolution safety
• Snowflake Iceberg external tables, query tuning, clustering, cost control, RBAC/masking
• Strong production proficiency in dbt – authoring complex models, incremental logic, snapshots, exposures, custom tests, and CI/CD integration using dbt Core + Snowflake/Iceberg adapters

Highly valuable:

• Experience working with AWS Cloud Platform
• DataOps / IaC (Terraform, dbt Cloud)
• Real-time streaming (Apache Kafka/Flink, AWS Kinesis)

You're passionate about clean, efficient architecture and have a proven track record building and operating production-grade open lakehouses. You raise the bar through high-quality delivery, team collaboration, and lasting improvements in reliability and engineering culture.

Your responsibilities:

• Design, build, and maintain scalable data pipelines, architectures, and platforms with a focus on reliability and efficiency
• Implement ETL/ELT processes with rigorous quality checks and governance to ensure data accuracy and consistency
• Mentor data engineers, share best practices, and foster a culture of learning and ownership
• Partner with Engineering, Product, and Business to translate requirements into high-impact data solutions
• Own project execution end-to-end—scoping, estimation, delivery, and communication
• Champion testing, documentation, and observability through design reviews and technical leadership
• Stay ahead of industry trends in cloud data, big data processing, and real-time analytics.