Adyen Verified

FinTech, Payment Processing, Financial Services

Senior Data Engineer

RemoteRemoteFull TimeSeniorPosted 2 months ago

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Required skills

Python
PySpark
SQL
Airflow
Hadoop
Spark
Kafka
Git
ELT pipelines
data architectures

Nice to have

payments industry
Brazilian market specificities
data scientists
analysts
software engineers
product managers

Role summary

Adyen is seeking a Senior Data Engineer to join their Payments team in São José dos Campos. This role is central to Adyen's data strategy, focusing on building a best-in-class data platform for payments and creating data products for internal and external stakeholders. Responsibilities include designing and developing ELT pipelines and data architectures, integrating diverse data sources, and ensuring data quality and reliability. The role also involves performance optimization, advocating for data best practices, and mentoring team members. Candidates should have 8+ years of experience in data engineering, proficiency in Python, PySpark, SQL, Airflow, Spark, Kafka, Hadoop, and Git. Experience in the payments industry, particularly the Brazilian market, is highly desirable. The position requires 3 days onsite work per week.

This is Adyen

At Adyen, payments, data and financial products come together in a single platform, trusted by companies like Netflix, Meta, Uber, H&M and Microsoft. And we’re only getting started: we keep expanding our financial solutions to support merchants wherever they do business. Everything we do is engineered for ambition.

We build teams where people can truly own their careers, with the culture and support to back it up. Here, you’ll work with colleagues across the world and face complex challenges you’ll only find at a leading global payments company. We’re a team that enjoys solving hard technical problems at scale, together, and delivering innovative, ethical solutions that help businesses reach their ambitions faster.

Senior Data Engineer - Payments

At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll be at the core of our data strategy by helping us in building the best-in-class data platform for payments, and creating meaningful data products that drive our external and internal stakeholders. You’ll be the advocate of the core data products we offer, and you'll align product evolution and technical challenges aiming global-scale, with stakeholders located at every corner of the world.

What we expect from you:

Global mindset: Work with stakeholders across countries and regions, and design solutions with global scale in mind, so our merchants are supported wherever they do business.

Collaborative solution development: Partner with data scientists, analysts, software engineers, product managers and customers across our global offices to understand their needs and craft effective solutions.

State-of-the-art pipelines and architecture: Design, develop, deploy and operate production ELT pipelines and data architectures that handle data from many sources and formats, at the scale of a global payments platform. Build for compatibility, consistency, reliability and scalability.

Champion data best practices: Establish and advocate for best practices in performance, code quality, data validation, governance and discoverability across Adyen, mentoring and sharing knowledge with colleagues in different regions.

High-quality data and code: Ensure data is accurate, complete, reliable, relevant and timely, with rigorous testing, monitoring and validation (for example, with Pytest), because our merchants and partners around the world depend on it.

Performance optimization: Identify and resolve bottlenecks in pipelines and systems, optimizing query performance and resource use to meet SLAs at global scale, using caching, indexing, partitioning and other Spark optimizations.

Who you are

You are fluent in English and Portuguese.

Available to work 3 days on site in São José dos Campos. We offer a relocation package from 70km away from the city, if needed.

You have solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments.

You're highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git.

You have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business.

You mastered the best engineering principles, and you consistently apply them in your day-to-day activities when building data pipelines.

You are able to communicate complex outcomes with clarity over a wide range of audiences.

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!

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!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our São José dos Campos office. We are an office-first company and value in-person collaboration; we do not offer remote-only positions.

Sample Adyen interview questions

1
Design a dynamic newsfeed system for social networking platforms.
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2
Design a system for real-time traffic monitoring and routing.
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3
Design a mass email distribution platform.
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4
Design a food delivery system like DoorDash.
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5
Build a system for anomaly detection in real-time metrics.
system designmedium

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