Key skills
AirflowApacheAWSCloudETLGoogle Cloud PlatformPythonSQLMachine LearningMLOpsELTData EngineeringAnalyticsBIDatabricksApache AirflowdbtGCPGoogle CloudCommunication
About this role
Role Overview
As a Data Engineer, you will be responsible for building and maintaining scalable, reliable data infrastructure that powers the organization's data platform. You will develop ETL/ELT pipelines for both batch and real-time data processing, integrate data from multiple sources, optimize data warehouse models, and ensure data quality, performance, and scalability. Working closely with Data Scientists, Analytics Engineers, BI specialists, and IT/DevOps teams, you will enable data-driven decision-making and support key business functions in a fast-growing international e-commerce environment.
- Build and maintain ETL/ELT pipelines (batch and streaming)
- Work with event-driven architectures and real-time data processing
- Integrate multiple data sources via APIs and replication
- Design and optimize data warehouse models
- Set up monitoring, logging, and alerting
- Continuously improve performance, scalability, and reliability
Requirements
Must-have Skills/Qualification:
- At least 3 years of experience in data engineering, building and maintaining scalable data pipelines and platforms
- Strong experience with SQL, comfortable working in complex data environments
- Hands-on experience with ETL/ELT processes and modern data tooling such as Apache Airflow
- Experience with dbt (Data Build Tool) for developing, testing, documenting, and managing scalable data transformation workflows within a modern data warehouse environment
- Experience with cloud environments such as AWS and/or GCP
- Pragmatic mindset with strong ownership and a focus on delivering impact
- Strong English communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders Advantageous Skills/Experience:
- Experience in Apache Flink and Databricks
- Experience in Python for data processing and pipeline development
- Experience with machine learning (understanding of model training, inference, and MLOps)
- Fluent in Dutch.
Tech Stack
- Airflow
- Apache
- AWS
- Cloud
- ETL
- Google Cloud Platform
- Python
- SQL