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.
Data positions at Adyen
We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this blogpost to find out!
