YOUR MISSION 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  <ul><li>Deep expertise in open lakehouse architectures – Snowflake as compute + Apache Iceberg on cloud object storage  </li></ul><ul><li>Hands-on production experience with:  </li></ul><ul><li>Iceberg catalog management (Apache Polaris, Glue, or Hive)  </li></ul><ul><li>Time-travel / snapshot queries  </li></ul><ul><li>Partition evolution &amp; schema evolution safety  </li></ul><ul><li>Snowflake Iceberg external tables, query tuning, clustering, cost control, RBAC/masking </li></ul><ul><li>Strong production proficiency in dbt – authoring complex models, incremental logic, snapshots, exposures, custom tests, and CI/CD integration using dbt Core + Snowflake/Iceberg adapters </li></ul>Highly valuable  <ul><li>Experience working with AWS Cloud Platform </li></ul><ul><li>DataOps / IaC (Terraform, dbt Cloud)  </li></ul><ul><li>Real-time streaming (Apache Kafka/Flink, AWS Kinesis) </li></ul>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  <ul><li>Design, build, and maintain scalable data pipelines, architectures, and platforms with a focus on reliability and efficiency  </li></ul><ul><li>Implement ETL/ELT processes with rigorous quality checks and governance to ensure data accuracy and consistency  </li></ul><ul><li>Mentor data engineers, share best practices, and foster a culture of learning and ownership  </li></ul><ul><li>Partner with Engineering, Product, and Business to translate requirements into high-impact data solutions  </li></ul><ul><li>Own project execution end-to-end—scoping, estimation, delivery, and communication  </li></ul><ul><li>Champion testing, documentation, and observability through design reviews and technical leadership  </li></ul><ul><li>Stay ahead of industry trends in cloud data, big data processing, and real-time analytics.</li></ul>YOUR PROFILE<ul><ul><li>5+ years in data engineering, with hands-on production experience building open lakehouses using Snowflake + Apache Iceberg  </li></ul><ul><li>Strong production track record with dbt – complex models, dependencies, incremental logic, custom tests, CI/CD  </li></ul><ul><li>Advanced SQL + Python; you build idempotent, observable, schema-safe pipelines  </li></ul><ul><li>Deep knowledge of data modelling trade-offs, distributed systems, and big data frameworks  </li></ul><ul><li>Excellent communicator – you distil complex topics for technical and non-technical audiences with empathy  </li></ul><ul><li>Proven collaborator with strong problem-solving, mentoring, and project management skills  </li></ul><ul><li>(Bonus) Built and maintained a production-grade open lakehouse from scratch (Iceberg + catalog + compute)  </li><li>(Bonus) Familiar with DataOps, IaC, or real-time streaming pipelines.  </li></ul></ul>

Factor Eleven

Senior Data Engineer (Remote, Italy, Spain, Romania, m,d,f)

Factor Eleven