Data Engineer - Adyen

Ayden

Quick summary

Work type: On-site
Location: Amsterdam, Netherlands
Posted: 1 day ago
Nearby: 38 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$117k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $126,800–$210,112.

Based on 240 similar postings.

Employer

About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 107 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 42 roles with salary data.

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At a glance

TL;DR · Data Engineer - Adyen

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Adyen, a leading payments platform, seeks a Data Engineer II to join its dynamic team in Amsterdam. This role involves collaborating with diverse stakeholders to design and develop high-quality production ELT pipelines using Big Data technologies such as PySpark, Airflow, Hadoop, Spark, Kafka, and SQL. You will ensure data accuracy, reliability, and performance optimization while adhering to best practices for code quality and governance. The ideal candidate has 3+ years of experience in a similar role, proficiency in Python, Git, and other relevant tools, and the ability to communicate complex technical concepts effectively. This position requires a strong understanding of both business needs and data engineering principles, with an emphasis on fostering a data-centric culture within Adyen’s growing tech ecosystem.

Skills

Python PySpark Airflow Hadoop Spark Kafka SQL Git CI/CD Pytest Data Governance Big Data Platform ELT Pipelines Performance Optimization Spark Optimizations

What you'll do

Design and develop high-quality production ELT pipelines for data integration.
Ensure compatibility, consistency, and reliability of data from various sources.
Implement testing, monitoring, and validation protocols to maintain data quality.
Identify and resolve performance bottlenecks in data pipelines and systems.
Participate in mentoring and knowledge sharing initiatives within the team.

What we're looking for

3+ years of experience as a Data Engineer or similar role.
Proficient in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.
Design and maintain high-quality production ELT pipelines and data architectures.
Implement testing, monitoring, and validation protocols for code and data.
Identify and resolve performance bottlenecks in data pipelines and systems.

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