Data Engineer | Wroclaw

DCV Technologies

Wrocław

Hybrid

PLN 150,000 - 230,000

Part time

14 days+

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Benefits offered by this job

International team
Professional development opportunities
Exposure to large-scale enterprise.sol
Stable project and long-term_coop

Job summary

DCV Technologies is seeking an experienced Data Engineer to join an international project for a leading global financial services organization. You will work with a modern data stack and collaborate within an experienced international team to deliver scalable data solutions.

The role is hybrid in Wrocław, Poland, with three days per week in the office and long-term cooperation on enterprise-grade projects. Python/PySpark/Databricks expertise is essential.

Qualifications

  • Experience working as a Data Engineer.
  • Strong hands-on experience with Python.
  • Experience with PySpark.
  • Experience working with Databricks.
  • Ability to work in a professional, international project environment.

Responsibilities

  • Build data pipelines and data models using PySpark and Databricks.
  • Collaborate with international teams to deploy scalable data solutions.
  • Ensure data quality, reliability, and governance across the data stack.
  • Support and optimize enterprise-grade data workflows in a hybrid setup.

Skills

Python
PySpark
Databricks

Job description

We are looking for an experienced Data Engineer to join an international project for a leading global financial services organization. This is an opportunity to work on a large-scale financial technology project, where data engineering plays an important role in supporting business‑critical solutions. You will work with a modern data stack and collaborate within an experienced international team.

Location

Wrocław, Poland

Work model

Hybrid - 3 days per week from the Wrocław office

Contract

B2B

Main Technologies
  • Python
  • PySpark
  • Databricks
What We Are Looking For
  • Experience working as a Data Engineer
  • Strong hands‑on experience with Python
  • Experience with PySpark
  • Experience working with Databricks
  • Ability to work in a professional, international project environment
What We Offer
  • International and experienced team
  • Professional development opportunities
  • Exposure to large-scale enterprise solutions
  • Stable project and long‑term cooperation
  • Collaborative and multicultural working environment
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