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Open nowPosted 213 days ago

Senior Data Engineer

antalpl1,063 open roles

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Your applicationOpen nowSenior Data Engineerantalpl

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Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 213 days ago

The posting

Senior Data Engineer (PySpark)

📍 Location: Kraków, Poland (hybrid: 2 days in the office, 3 days remote)

📄 B2B Contract: 200 – 240 PLN / hour

We are looking for a proactive Senior Data Engineer (PySpark) to join an international Agile team delivering large‑scale data processing solutions for the financial sector. You will work closely with Engineers, Data Analysts and Business Analysts to design, build and optimize data pipelines supporting critical business processes.

This role sits within a collaborative engineering environment and offers the opportunity to influence architecture, development standards and delivery quality across a complex data ecosystem.

Key Responsibilities:

  • Design and develop scalable data processing solutions using PySpark or Scala.
  • Build and maintain data pipelines leveraging Hadoop ecosystem components (Spark, Hive, YARN, MapReduce).
  • Promote engineering best practices through code reviews, mentoring and knowledge sharing.
  • Provide production support, troubleshoot issues and ensure system stability.
  • Implement tools and processes ensuring performance, availability, accuracy and monitoring.
  • Collaborate with Business Analysts to ensure correct interpretation and implementation of requirements.
  • Contribute to architecture and system design discussions.
  • Participate in Agile ceremonies: sprint planning, reviews, retrospectives and daily stand‑ups.

Requirements:

  • 5+ years of experience in software engineering with strong focus on PySpark development.
  • Hands‑on experience with Apache Spark, Hadoop, Hive, Spark SQL.
  • Experience with Airflow or similar scheduling tools.
  • Solid understanding of Unix/Linux environments.
  • Experience with ETL frameworks, SQL, RESTful services and distributed data processing.
  • Familiarity with Git/GitHub, CI/CD tools (Jenkins, Ansible) and JIRA.
  • Understanding of data modelling (relational & non‑relational).
  • Strong debugging skills and ability to clearly communicate findings.

Nice to Have:

  • Experience with Elasticsearch.
  • Java API development.
  • Experience with ingestion frameworks.
  • Understanding of cloud design patterns.
  • Exposure to DevOps practices and Agile methodologies (Scrum, Kanban).

What We Offer:

  • Long‑term cooperation within a large, international financial programme.
  • Real influence on architecture, engineering standards and delivery quality.
  • Work in a multicultural, distributed environment.
  • Private medical care (LuxMed) and Multisport card.
  • Stable B2B contract with attractive hourly rate.
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