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.
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 also work in creating and maintaining robust reporting solutions that provide concise, reliable, and
trustworthy intelligence to our customers.
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.
- State-of-the-Art
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. Design
scalable architectures.
- Champion Data Best Practices: Proactively establish and advocate for best
practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring,
training, and knowledge sharing.
- High Quality Data and Code: Ensure data is accurate, complete,
reliable, relevant, and timely. Implement rigorous 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. Optimize query performance and resource utilization to meet SLAs and performance requirements, using
technologies such as caching, indexing, partitioning, and other Spark optimizations.
Who you
are You are fluent in English and Portuguese
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
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 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
- it's highly desirable that you're someone who's good a good
understanding about the payments industry, with focus on Brazilian market specificities
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.