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Open nowPosted 92 days ago

Data Engineer

chabre42 open roles

Where
Warszawa
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Your applicationOpen nowData Engineerchabre · Warszawa

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The clock on this job

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 92 days ago

The posting

Working as a Data Engineer you will:

  • Connect and extract information from diverse sources, such as ERPs, SharePoint, APIs, and flat files, turning scattered information into a reliable foundation.
  • Take charge of hands-on pipeline development, managing data ingestion, integration, and transformation processes.
  • Design solid data models and rigorous reconciliation checks to guarantee absolute accuracy and traceability of all numbers.
  • Create intuitive dashboards and self-service BI views (using tools like Sigma) to provide clear, trustworthy insights for the team.
  • Collaborate closely with client stakeholders, explaining data provenance in plain language, resolving discrepancies, and building trust in the outputs.
  • Mentor and review the work of a junior engineer within your two-person development pod, teaching best practices as you code.
  • Make practical architecture and tooling decisions, balancing speed of delivery with system reliability.
  • Maintain strict standards for data quality, security, and compliance throughout the entire project lifecycle.
  • Excellent Polish & English skills
  • A Bachelor's Degree (preferably in Management Information Systems, Computer Science, Mathematics, or a related field).
  • At least 4 years of commercial experience in data engineering.
  • Strong hands-on skills in building pipelines and models using Python, SQL, PySpark, Snowflake, and Databricks.
  • Proven ability in dimensional modeling and implementing automated data quality, validation, and reconciliation checks.
  • Experience in integrating complex enterprise systems (like fund administration software or ERPs) into analysis-ready models.
  • Track record of actively coding while simultaneously coaching and guiding a less experienced teammate.
  • Excellent communication skills to effectively gather requirements, ask the right questions, and translate technical data concepts for non-technical users.
  • Solid understanding of enterprise data anonymization, security protocols, and responsible AI practices.

Our client is a globally recognized leader in professional services, financial consulting, and auditing. They focus on delivering innovative, technology-driven solutions to complex business challenges on a massive scale. By joining their team, you will contribute to an organization that heavily invests in secure, cutting-edge AI transformations tailored for the enterprise sector.

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