Senior Data Engineer

Adyen·Sao Jose dos Campossenior

En corto

→Ingeniero de datos senior que construye plataformas de datos escalables para pagos.
→Diseña y mantiene pipelines ELT de producción con Python, Spark y Kafka, asegurando calidad y rendimiento.
→Destaca por su enfoque en mejores prácticas, liderazgo técnico y conocimiento del mercado de pagos brasileño.

Fluent in English and Portuguese

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Mínimo 8 años de experiencia en entornos de datos escalables
✓Dominio de Python, PySpark, SQL, Airflow, Spark, Kafka, Hadoop
✓Fluidez en inglés y portugués
✓Experiencia en construcción de pipelines ELT en producción
✓Conocimiento del sector de pagos, especialmente del mercado brasileño
✓Capacidad de comunicar resultados complejos a distintos públicos

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonPySparkSQLAirflowHadoopSparkKafkaGitCachingIndexing

¿A quién escribirle en Adyen?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 position

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