{"id":191261,"url":"https://alion.io/job/adyen-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":8354,"name":"Adyen","domain":"adyen.com","url":"https://alion.io/company/adyen","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":67,"ghost_share":0.09,"stale_share":0.493,"repost_share":0.149,"time_to_fill_p50_days":77,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São José dos Campos, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-02T12:32:32Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-30T04:08:47Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":57},"description":"This is Adyen\nAdyen 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. \nFor 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.\nSenior Data Engineer - Payments\nAt 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.\nWhat you’ll do\nCollaborative 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.\nState-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. \nChampion 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.\nHigh 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.\nPerformance 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.\nWho you are\nYou are fluent in English and Portuguese\nYou have solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments\nYou're highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git\nAvailable to work 3 days on site in São José dos Campos. We offer a relocation package from 70km away from the city, if needed.\nYou have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business\nYou mastered the best engineering principles, and you consistently apply them in your day-to-day activities when building data pipelines\nYou are able to communicate complex outcomes with clarity over a wide range of audiences\nit's highly desirable that you're someone who's good a good understanding about the payments industry, with focus on Brazilian market specificities\nData positions at Adyen\nWe 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 atthis blogpost to find out!\nOur Diversity, Equity and Inclusion commitments \nOur 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. \nStudies 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!\nWhat’s next?\nEnsuring 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.\nThis role is based out of our São José dos Campos office. 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