iyzicoiyzico was founded in 2013 to provide online payment services and artificial intelligence-based payment technologies to businesses of various sizes in the world of e-commerce. By making the complex payment processes simple through its easy and secure platform, iyzico had achieved significant successes through supporting thousands of businesses in digitalization and was acquired by the global payment systems giant PayU in 2019. With such a robust structure, iyzico is operating on the principle of democratizing financial services and making them accessible for everyone alongside the services it provides to businesses.Through iyzico Buyer Protection, consumers’ concerns regarding shopping online are resolved and better experiences are enabled. Control is handed back to the consumers by 24/7 live support through the iyzico mobile app and convenience in cancellation/returns processes. To this date, more than 2 million consumers shopped online under the security provided by iyzico Buyer Protection and this number is increasing daily. Via pay with iyzico, which is a blended payment solution, millions of consumers who do not use banking can safely shop online under the belt of iyzico Buyer Protection.iyzico continues to simplify online shopping for both consumers and sellers by the simple, accessible, and innovative technologies it developed.

At iyzico, the Data Platform team builds the backbone behind analytics, reporting, and AI across one of Türkiye’s largest payment platforms. You’ll work on a large-scale distributed data warehouse and real-time CDC pipelines — at genuine scale, in a regulated environment. A growing part of this work is our governed, in-house LLM platform — used to turn natural language into trustworthy analytics, automate data workflows, and build data products that engineers and analysts can rely on. This is a role for engineers who want to own data problems end to end, from raw event to production.

What you’ll do

Build, operate, and own batch and streaming data pipelines end to end
Write and optimize SQL against a large-scale distributed PostgreSQL warehouse
Design and evolve data models and ETL/ELT processes
Develop and maintain orchestration with Apache Airflow
Build real-time data flows with Kafka and CDC
Own data quality, governance, and observability — the checks, monitoring, and alerting you actually trust
Investigate pipeline and data issues to root cause, and ship durable fixes
Help run the data platform itself: install, configure, and troubleshoot its components
Build on our in-house LLM platform: retrieval-augmented data pipelines, natural-language-to-SQL over the warehouse, and analytics automation — with correctness and governance built in

What we’re looking for

2-3 years of experience
Strong SQL and query optimization
Solid grasp of relational databases and data modeling
Hands-on Python for data processing and automation
Working knowledge of ETL/ELT and pipeline design
Comfort in a Linux/CLI environment
Git, code review, and testing as part of your normal workflow
A problem-solver who can dig into unfamiliar systems independently
Ownership: you take a problem from investigation all the way to production

Nice to have

PostgreSQL / Citus at scale
Kafka, Debezium, or other streaming/CDC tooling
Airflow or another orchestrator
Data quality, monitoring, or observability tooling
Linux-based data platform administration
Experience with LLM/AI-based systems
Fintech or payments background

What We Offer

• A culture of continuous development: conferences, in-house events & Tech Talks to stay up-to-date on current research and technology. P.S.:You do not need to wait to get on the stage and share your expertise with you teammates and the community

• Online Training Platform (Free access to Udemy, Harvard ManageMentor, Get abstract, etc.),

• Freedom under responsibility is our common mindset. That’s how we designed our flexible working model called,

• iyzico Homequarters. Our homequarters is in Altunizade,

• Meal & Internet Allowance,

• Transportation Allowance,

• A gift voucher to meet tech needs and ergonomic workspace at home,

• Macbook (and monitor if needed),

• Employee support program: free psychological counseling, legal advice, financial advice etc.

• Private health insurance,

• 1 day birth day leave,

• An iyzicoMate is assigned to help you with anything you may need on your onboarding,

• A detailed orientation program designed for you to fully grasp the iyzico culture.

Başvurunuzu göndererek, belgede ve eklerinde yer alan tüm bilgilerin, ayrıca hakkınızda diğer kaynaklardan elde edilecek bilgilerin (örneğin referans olarak gösterdiğiniz kişilerin vereceği bilgiler) iyzi Ödeme ve Elektronik Para Hizmetleri A.Ş. (kısaca “iyzico”) tarafından elde edilmesine, detaylı incelemeler yapılmasına, başvuruların sonuçlandırılması ve başvuru süreçlerinin iyileştirilmesi amaçlarıyla kullanılmasına, bu amaçlarla uyumlu makul bir süre boyunca saklanmasına ve iyzico çalışanları, danışmanları ve dış hizmet sağlayıcılarına aktarılmasına, ayrıca iş arayışınızla ilgilenebilecek diğer işverenlerin de aralarında bulunduğu 3. kişi ve kurumlarla paylaşılmasına rıza göstermektesiniz.Yasal düzenlemelerde kişisel verileri işlenen ilgili kişilere sağlanan haklardan kişisel veri işleme süreçleri, veri işlemenin amaçları, verilerin aktarıldığı kişiler hakkında bilgi talep etme; verilerin düzeltilmesini, silinmesini ve yok edilmesini talep etme; kullanılan hakların üçüncü kişilere de bildirilmesini isteme; otomatik sistemlerle yapılan işlemeler sonucu ortaya çıkan olumsuz sonuçlara itiraz etme ve işleme sebebiyle uğranan zararların tazminini talep etme hakları sikayet@iyzico.com adresine e-posta gönderilerek, veya +90 216 599 01 00 numaralı telefonla iyzico’ya ulaşılarak kullanılabilir.