Data Engineer

Adyen; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Adyen in Amsterdam is seeking a Data Engineer II to build and maintain high-quality ELT pipelines on our Big Data Platform. You will partner with data scientists, analysts and engineers to deliver reliable data assets that power product insights and business decisions.

You should have 3+ years in data engineering, strong Python, PySpark and SQL skills, and a passion for data quality, testing, and performance tuning in a fast-paced fintech environment.

Qualifications

• 3+ years of experience as a Data Engineer or in a similar role.
• Strong understanding of Software and Data Engineering practices.
• Proficient in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL and Git.
• Clear communicator able to explain data concepts to diverse stakeholders.
• Self-starter with an innovative, launch-fast mindset.
• Promotes data culture and standards within technical teams.

Responsibilities

• Collaborate with data scientists, analysts, and engineers to translate requirements into reliable pipelines.
• Design, build, deploy and operate production ELT pipelines and data architectures.
• Implement data quality controls, testing and monitoring.
• Improve query performance and optimize resource usage.
• Contribute to data governance and documentation.

Skills

Python

PySpark

Airflow

Hadoop

Spark

Kafka

SQL

Git

Job description

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Engineer

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!

We Currently Have Roles Available In The Following Teams

• Uplift Protect
• Balance Transactions
• Payment Lifecycle Data
• Optimise Interfaces
• Payment Pricing Billing
• Regulatory Reporting
• Payments Pricing
• Finance & Commercial Analytics

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.