26 feb 2026
Senior Data Engineer (Dutch speaking)
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Amsterdam |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Shir Abramovich |
Informatie
- Develop and manage cloud data platforms on AWS, Azure, or Google Cloud Platform, ensuring adherence to security, reliability, scalability, and maintainability principles.
- Oversee a team of data engineers, aligning technical solutions with business requirements while managing stakeholder relationships.
- Employ Python, SQL, and Git for data processing and application development, while adhering to software engineering best practices.
- Design and manage continuous integration and continuous deployment (CI/CD) processes using tools like Azure Pipelines, GitHub Actions, or GitLab CI/CD.
- Design and utilize various data storage solutions, including data lakes, data warehouses, and SQL/NoSQL databases.
- Apply knowledge of data modeling and database normalization to ensure efficient data organization and retrieval.
Omschrijving
- Develop and manage cloud data platforms on AWS, Azure, or Google Cloud Platform, ensuring adherence to security, reliability, scalability, and maintainability principles.
- Oversee a team of data engineers, aligning technical solutions with business requirements while managing stakeholder relationships.
- Employ Python, SQL, and Git for data processing and application development, while adhering to software engineering best practices.
- Design and manage continuous integration and continuous deployment (CI/CD) processes using tools like Azure Pipelines, GitHub Actions, or GitLab CI/CD.
- Design and utilize various data storage solutions, including data lakes, data warehouses, and SQL/NoSQL databases.
- Apply knowledge of data modeling and database normalization to ensure efficient data organization and retrieval.
Functie eisen
- 4+ years of experience as a Cloud Data Engineer.
- Strong proficiency in Python, SQL, and Git.
- Knowledge of Software Engineering principles and best practices.
- Experience designing and implementing data platforms on AWS, Azure, or Google Cloud.
- Familiarity with data storage techniques (data lakes, data warehouses, SQL/NoSQL databases).
- Experience with platform design, DevOps features, and CI/CD tools (Azure Pipelines, GitHub Actions, GitLab CI/CD).
- Proficient in Infrastructure as Code tools (Terraform, Ansible, AWS CDK, Bicep/ARM).
- Experience with virtualization and containerization tools (Docker, Kubernetes).
- Knowledge of orchestration and data processing tools (Apache Airflow, Databricks, Snowflake, dbt, (Py)Spark, Scala).
- Understanding of Data Modelling and Database Normalisation.
