Data Engineer (Python, SQL, Airflow) for Cloud AI Platform

Client Server; Den Haag; Hybrid; EUR 72,000 - 88,000; Full time

Benefits offered by this job

Pension

Private Medical Insurance

Life Assurance

Enhanced parental leave

Employee Assistance Program

23 days holiday + 1 birthday

Charity giving schemes

Personal training budgets

Job summary

Client Server in The Hague is seeking a Data Engineer (Python, SQL, Airflow) to help build a cloud-native data platform powering AI initiatives. You will design scalable ETL/ELT pipelines, data warehouses and data models, collaborating with Data Scientists, MLOps and Software Engineers to deliver robust, cost-efficient solutions.

The role requires strong Python, Airflow, SQL/NoSQL, Docker/Kubernetes, Terraform and cloud experience; fluent English and Netherlands work eligibility.

Qualifications

• BSc or MSc in Computer Science, Data Engineering or related field.
• Strong Python programming skills.
• Experience with ETL/ELT data pipelines and Apache Airflow.
• Knowledge of data warehousing and SQL/NoSQL databases, including data modelling.
• Familiar with streaming tech (Kafka, Pub/Sub).
• Experience with cloud platforms (GCP or AWS preferred).
• Experience with Docker and Kubernetes for container orchestration.
• CI/CD proficiency and Infrastructure as Code (Terraform).
• Fluent English; right to work in the Netherlands.

Responsibilities

• Build a cloud-native data platform powering AI initiatives.
• Design scalable ETL/ELT pipelines, data warehouses and data models.
• Collaborate with Data Scientists, MLOps and Software Engineers to deliver robust, scalable solutions.
• Work with Python, Airflow, SQL/NoSQL, Docker, Kubernetes, Terraform and cloud tech to optimise data flows.

Skills

Python

ETL/ELT

Data modelling

English fluency

CI/CD

Education

BSc or MSc in Computer Science or Data Engineering

Tools

Apache Airflow

SQL/NoSQL databases

Docker

Kubernetes

Terraform

GCP

AWS

Job description

Client Server in The Hague is seeking a Data Engineer (Python, SQL, Airflow) to help build a cloud-native data platform powering AI initiatives. You will design scalable ETL/ELT pipelines, data warehouses and data models, collaborating with Data Scientists, MLOps and Software Engineers to deliver robust, cost-efficient solutions.

The role requires strong Python, Airflow, SQL/NoSQL, Docker/Kubernetes, Terraform and cloud experience; fluent English and Netherlands work eligibility.