Data Engineer | TMB

Inetum · Warsaw, Poland · full-time · Hybrid · February 19, 2026

Sign up to apply
Your first one is free
Posted February 19, 2026 · Read from Inetum
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

Job Description

As a Data Engineer, you will be responsible for:

  • Building and maintaining processes for collecting data from various sources into the Data Lake.
  • Designing, developing, and optimizing complex data pipelines to ensure reliable data flow.
  • Creating, developing, and maintaining frameworks that facilitate the construction of data pipelines.
  • Implementing comprehensive testing frameworks for data pipelines.
  • Collaborating with analysts and data scientists to ensure the delivery of high-quality data.
  • Ensuring robust data management, security, and compliance practices.
  • Researching and implementing new technologies to improve data pipeline performance.
  • Leveraging and integrating data from various types of source systems, including Kafka, MQ, SFTP, databases, APIs, and file shares.

Qualifications

  • Proficiency in cloud platforms and services- GCP.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven organization.
  • Proven experience in data quality management and data governance practices.
  • Strong database expertise, including advanced SQL and PL/SQL.
  • Proficiency in Python, with experience in Scala as a plus.
  • Experience with Linux and bash scripting.
  • Solid understanding of Cloudera Hadoop technology stack (Apache Spark, Apache Kafka).
  • Knowledge of data handling principles, including ETL processes and real-time data processing.

Nice to have:

  • Experience with CI/CD pipelines and automation tools.
  • Strong understanding of data governance principles, including metadata management and data quality frameworks.
  • Ability to work with and understand various source system types (Kafka, MQ, SFTP, databases, APIs, file shares).

Additional Information

  • Hybrid work- 3 times a week from the office in Warsaw.
  • We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: https://inetum.whispli.com/speakup?locale=pl
Employer
Inetum
Location
Warsaw, Poland · Hybrid
Contract
full-time