Lead Data Engineer Streaming & Real-Time Data Platform, REMOTE WARSZAWA
Core Requirements:
- 6+ years of experience in Data Engineering, with a strong focus on streaming and real-time platforms.
- Proven experience designing enterprise data platforms serving operational backend systems not only analytical workloads.
- Strong understanding of modern data architecture, including real-time processing, lakehouse concepts, and distributed data systems.
- Hands-on experience with streaming data platforms and distributed analytical query engines.
- Strong understanding of event-driven architectures and streaming consistency models.
- Experience designing high-throughput, low-latency distributed systems.
- Experience implementing pipelines as code, automated deployment, and version-controlled data infrastructure.
- Experience building Customer 360 or similar enterprise customer data models is highly desirable.
- Experience building cloud-native enterprise data platforms.
- Strong programming skills (Java, Python, or similar).
- Strong written and spoken English.
- Must have the legal right to work in the EU. Candidates from CIS countries may be considered under a contractor engagement model.
- Ability to work effectively in a fully remote environment.
Banank is seeking an experienced Lead Data Engineer to define the architecture and lead the development of our next-generation real-time data platform, powering backend services, business intelligence, operational decision-making, and AI-driven analytics across our digital banking ecosystem.
This role goes beyond building data pipelines you will own the evolution of Banank's enterprise data platform, defining architectural principles, engineering standards, and modern data engineering practices for real-time processing, data governance, and scalable data products.
You will be responsible for the company's enterprise data architecture, ensuring data is consistent, discoverable, reusable, and readily available for operational services, business intelligence, regulatory reporting, and AI-driven applications.
Working closely with Platform Engineering, Backend Engineering, Product, Security, and Business teams, you will design streaming-first data systems supporting operational workloads such as transaction processing, fraud detection, customer onboarding, personalization, technical analytics, and business intelligence while ensuring high availability, consistency, low latency, and operational resilience.
You will also help establish modern data engineering practices, including Customer 360 data models, enterprise data governance, semantic data models, and natural language analytics capabilities that enable business users to interact with enterprise data using AI-powered tools.
We understand that it may be challenging to find a candidate with experience across every technology listed below. We are not looking for a perfect match we're looking for someone who is curious, adaptable, and excited about solving complex engineering problems while learning new technologies.
If you have strong fundamentals in distributed data systems and enjoy building modern real-time platforms, we'd love to hear from you.
Join the Banank family!
We're growing fast, building exciting things, and creating the next generation of digital banking!