26 feb 2026
Data Engineer (Dutch speaking)
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Amsterdam |
| Opleidingsniveau | HBO / bachelor |
| Contactpersoon |
Shir Abramovich |
Informatie
- Build and maintain APIs and data pipelines for efficient data processing and integration.
- Set up and manage cloud infrastructure and CI/CD pipelines to ensure smooth deployment.
- Design and implement data architectures tailored to organizational needs.
- Provide technical and strategic advice to enhance data-related processes and systems.
- Write production-ready code adhering to Software Engineering best practices.
- Collaborate with cross-functional teams to identify and resolve data-related challenges.
- Utilize various data storage techniques, including data lakes and warehouses, to optimize data management.
- Work with streaming data tools and support the implementation of AI and machine learning solutions.
Omschrijving
- Build and maintain APIs and data pipelines for efficient data processing and integration.
- Set up and manage cloud infrastructure and CI/CD pipelines to ensure smooth deployment.
- Design and implement data architectures tailored to organizational needs.
- Provide technical and strategic advice to enhance data-related processes and systems.
- Write production-ready code adhering to Software Engineering best practices.
- Collaborate with cross-functional teams to identify and resolve data-related challenges.
- Utilize various data storage techniques, including data lakes and warehouses, to optimize data management.
- Work with streaming data tools and support the implementation of AI and machine learning solutions.
Functie eisen
- Minimum of 2 years working experience as a Data Engineer or in a similar role.
- Proficiency in Git for version control.
- Strong knowledge of SQL and programming languages such as Python and/or Scala.
- Experience with cloud platforms such as AWS, Azure, and/or Google Cloud Platform.
- Ability to write production-ready code following Software Engineering best practices.
- Familiarity with one or more of the following tools: Apache Airflow, Databricks, dbt, Spark, Docker, Kubernetes.
- Experience with data storage techniques, including: Data lakes, Data warehouses, SQL and NoSQL databases.
- Knowledge of streaming data tools such as Apache Kafka or RabbitMQ.
- Experience with bringing AI into production, including LLMs and NLP applications.
- Strong communication skills in English and Dutch, both verbal and written.
