Data Engineer

• Build, maintain, and optimize data pipelines and ETL processes to move data from Postgres and MongoDB into our Iceberg data lake on S3 and ClickHouse Cloud via change data capture (CDC) using Debezium or ClickPipes.
• Collaborate with senior engineers to orchestrate transformations using Dagster, including dbt runs, custom Python ETLs, and scheduled jobs.
• Develop and maintain dbt models across multiple warehouses (ClickHouse, BigQuery, Snowflake, Redshift) to power embedded analytics, internal analytics, and customer-facing integrations.
• Work with cross-functional teams to gather data requirements, test transformations, and deliver high-quality datasets for analytics and product features.
• Assist in migrating from Fivetran to a Kafka-based streaming architecture, including configuring Kafka and Debezium connectors.
• Participate in implementing data retention, GDPR compliance, anonymization, and backup workflows across our data lake and warehouse layers.
• Monitor pipeline health, troubleshoot issues, and optimize query performance in ClickHouse, Snowflake, BigQuery, and Redshift.
• Contribute to infrastructure-as-code practices using Terraform (or similar tools) to standardize deployments and manage environments across AWS, GCP, and Azure.

Senior Data Engineer

Senior Data Engineer

Junior Data Engineer

Azure Data Engineer, Inglés

Big Data Engineer

Senior Data Engineer