Data Engineer

iyzico· Infrastructure
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📍 IstanbulFull time

About this role

iyzico
iyzico 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.

Frequently Asked Questions

Is the salary disclosed for the Data Engineer position at iyzico?
The salary for this Data Engineer role at iyzico is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer position at iyzico located?
This Data Engineer role at iyzico is based in Istanbul. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer role at iyzico full-time or part-time?
This is listed as a Full time position. It is posted as a Data Engineer role in the Infrastructure department at iyzico.
Which team or department does the Data Engineer at iyzico belong to?
This Data Engineer position is part of the Infrastructure department at iyzico. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer position at iyzico?
Click the "Apply Now" button on this page. You will be redirected to iyzico's official application portal hosted on lever where you can submit your application directly.
When was the Data Engineer job at iyzico posted?
This Data Engineer position at iyzico was posted on Sep 9, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer
iyzico
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