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Enfint

data engineer in fintech

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Summary

A data engineer designs, builds, and maintains scalable ETL/ELT pipelines and cloud-native data platforms (Data Lake, Warehouse, Lakehouse) using Python, SQL, and Spark/PySpark on AWS or Azure, supporting analytics and ML use cases for fintech clients. This is a hybrid role based in Kraków, Poland.

Описание

Vention is a global engineering partner to tech leaders and fast-growing startups, combining product development expertise with an AI-first approach and reliable delivery. The company helps startups and enterprises turn data into smart decisions and better user experiences by building scalable data pipelines and infrastructure.

Задачи

  • Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms; Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases; Design and maintain cloud-native data architectures, including Data Lake, Data Warehouse, and Data Lakehouse; Develop data processing solutions using Spark and PySpark in distributed environments; Collaborate with cross-functional teams to translate business requirements into efficient, scalable data solutions; Support analytics use cases by enabling data consumption for reporting, dashboards, and visualization tools; Stay up to date with modern data platform technologies and best practices, contributing to continuous improvement of the data ecosystem.

Требования

  • 4+ Years of experience in Data Engineering, delivering end-to-end data solutions; Strong hands-on experience with Python and SQL; Solid expertise with Apache Spark and PySpark for distributed data processing; Hands-on experience with AWS or Azure data services; Good understanding of modern data architectures, including Data Lake, Delta Lake, and Data Warehouse; Experience working in an Agile environment, such as Scrum or Kanban; English at B2+ level for communication with English-speaking customers.

Условия

  • Hybrid work in Krakow, Poland
  • Private medical care with LuxMed
  • Kafeteria MyBenefit credits for stores, restaurants, and cafés
  • Access to a Multisport membership
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent
  • EDU corporate community with tech communities, interest clubs, events, an R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools, including GitHub Copilot and Cursor

Skills

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See also

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