Data Engineer (Amsterdam)
Core
Develop, deploy, and maintain scalable data products and pipelines for clients in an Agile environment.
Role type
Data Engineer
Builds
Data products, ETL/ELT pipelines, and data warehousing solutions
Domain
Data Engineering, Cloud Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark/Spark, SQL, Data Modeling, ETL/ELT, Data Governance, Cloud Platforms (AWS/Azure/GCP), Apache Airflow, AWS Glue, AWS Redshift
Preferred skills
Apache Kafka, Delta Lake, Lakehouse Architecture, Databricks, Snowflake, Data Migration, Terraform, AWS CloudFormation, Dataiku, Data Vault 2.0, Star Schema
Technologies
Python, PySpark, Spark, SQL, PostgreSQL, AWS, Azure, GCP, Apache Airflow, AWS Glue, AWS Redshift, Apache Kafka, Delta Lake, Databricks, Snowflake, Terraform, AWS CloudFormation, Dataiku, Informatica
Responsibilities
Develop and maintain data products and pipelines, participate in Agile development practices and technical decision-making, support junior-mid level technologists, deliver client data engineering opportunities.
Seniority
Mid-level, hands-on IC