# Data Engineer

**Company**: Adyen
**Location**: Amsterdam
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/adyen/jobs/6720006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-engineer-da015da9-4c2/

## Description

At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Data Engineer II to join our team in Amsterdam. This role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on our Big Data Platform.

As a Data Engineer at Adyen, you will be instrumental in maintaining our data infrastructure and ensuring smooth data flows across systems.

### What you’ll do

- Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.

- Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.

- Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives.

- High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.

- Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.

### Who you are

- Experienced in Big Data: 3+ years of experience working as a Data Engineer or in a similar role.

- Data & Engineering practices: You have a solid understanding of both Software and Data Engineering practices.

- Technical Super Star: Proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.

- Clear Communicator: Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.

- Self-starter: Capable of identifying opportunities, devising solutions, and handling projects independently.

- Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality.

- Data Culture Champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.

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## Skills

### Required
- Python
- PySpark
- Airflow
- Hadoop
- Spark
- Kafka
- SQL
- Git

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/adyen/jobs/6720006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)