We’re looking for a Senior Data Engineer with deep, hands-on Google Cloud Platform experience to be a technical anchor for the team. This is a senior individual contributor role. You have built production pipelines, worked through complex data architectures and solved hard problems before. You’ll bring that experience to the platform through code reviews and technical guidance, working in an Agile/sprint model with distributed teams. Responsibilities
• Design, build and deliver scalable batch and streaming pipelines with BigQuery, Dataform, Dataflow, Confluent Kafka and Pub/Sub.
• Take part in Agile ceremonies (planning, standups, retros, grooming) and deliver in iterative sprints.
• Work with business and technical stakeholders to understand data needs and deliver production-ready solutions.
• Define and enforce best practices: coding standards, code reviews, testing strategies and technical documentation.
• Mentor mid-level and junior engineers through design reviews and substantive code feedback.
• Monitor and troubleshoot pipeline issues, resolving them quickly with minimal business impact.
• Keep up with industry trends and recommend improvements to the platform and practices. Must have
• 7+ years in data engineering or data architecture, focused on big data and production-scale systems.
• Extensive production experience with GCP: BigQuery, Dataflow, Cloud Storage and related services.




• Production experience with Confluent Kafka or Google Pub/Sub.
• Advanced SQL and strong experience with Dataform (dbt also counts).
• Experience with Apache Airflow or similar orchestration tools.
• Production experience with at least one transactional database: Oracle, SQL Server or PostgreSQL.
• Python or Java for pipeline development and automation.
• Solid understanding of ingestion, data warehousing and medallion/layered architecture.
• Experience working in Agile/Scrum with distributed teams.
• Strong communication skills and advanced English. Nice to have
• Fivetran for connector-based ingestion.
• Alation or similar catalog and lineage tools.
• Immuta alongside native BigQuery security controls.
• Data contracts, data mesh and data product thinking.
• Exposure to Databricks or Palantir.
• Agentic or GenAI tooling in data engineering workflows.
• Google Cloud Professional Data Engineer certification (strong plus).
• Databricks, Power BI or Azure certifications. This job opening includes people registered in the National Registry for Persons with Disabilities (Registro Nacional de Personas con Discapacidad
- Ley N° 19.691) who meet the conditions and suitability for the position. If you require any accommodations during the application process, please reach out to us at [email protected].

📌 Senior Data Engineer (Modena)
🏢 Qubika
📍 Modena