Data Engineer

Kraków, Lesser Poland Voivodeship, Poland

Codete

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Codete is not just a software company, it’s a place where tech-enthusiasts can grow by doing what they love and feel valued for what they are. We’re experienced, agile and versatile: we work with a wide range of technologies in projects from many different industries, and the majority of our team are senior-level specialists.

We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team and be part of the team which manages our analytics & event platform stack. You will be working on a platform that is designed to facilitate flexible and efficient management of telephone calls within the organization.


Challenges:

  • Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide real-time data solutions for our product
  • Write clean scalable code using Go, Typescript / NodeJS / Scala / python / SQL and test and deploy applications and systems
  • Solve our most challenging data problems, in real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients
  • Involvement in product and platform performance optimization and live site monitoring
  • Mentor team members through giving and receiving actionable feedback.


Tech stack: Scala, Java, Python, real-time / streaming data, AWS (KDA, Flink, Spark)

Location: Kraków, Lublin, Remote (Poland or any country in EU)

Salary: B2B: PLN 150-170 / h

Requirements

  • Experience with real-time, event-driven architecture
  • Experience with a modern programming language such as Scala, Python, Go, Typescript
  • Experience of designing complex data processing pipeline
  • Experience of data modeling (star schema, dimensional modeling etc)
  • Experience of query optimization
  • Experience of Kafka is a plus
  • Shipping and maintaining code in production
  • You like sharing your ideas, and you're open-minded

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  10  1  0
Category: Engineering Jobs

Tags: Agile Architecture AWS Engineering Flink Java Kafka Node.js Python Scala Spark SQL Streaming TypeScript Unstructured data

Perks/benefits: Flex hours

Region: Europe
Country: Poland

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