Senior Data Engineer: Build Scalable Data Pipelines

Adyen; Amsterdam; On-site; EUR 110,000 - 140,000; Full time

Job summary

Adyen in Amsterdam is seeking a Senior Data Engineer to shape our data infrastructure and ensure seamless data flow across systems. You will build production ELT pipelines on our Big Data Platform, collaborating with data scientists, analysts, and engineers to deliver scalable solutions.

Ideal candidates have 7+ years in data engineering, strong Python/PySpark, Airflow, Spark, Kafka, and a track record of delivering reliable data architectures with performance considerations and governance.

Qualifications

• 7+ years of experience as a Data Engineer or similar role.
• Strong understanding of data pipelines, data governance, and testing.
• Proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.

Responsibilities

• Collaborate with data scientists, analysts, and engineers to understand requirements and craft data solutions.
• Design, develop, deploy and operate production ELT pipelines and data architectures; integrate data from diverse sources.
• Establish and advocate for best practices in data validation, governance, and discoverability.

Skills

Big Data expertise

Communication

Self-starter

Innovative mindset

Data culture

Tools

Python

PySpark

Airflow

Hadoop

Spark

Kafka

SQL

Git

Job description

Adyen in Amsterdam is seeking a Senior Data Engineer to shape our data infrastructure and ensure seamless data flow across systems. You will build production ELT pipelines on our Big Data Platform, collaborating with data scientists, analysts, and engineers to deliver scalable solutions.

Ideal candidates have 7+ years in data engineering, strong Python/PySpark, Airflow, Spark, Kafka, and a track record of delivering reliable data architectures with performance considerations and governance.