Data Engineer
- Hiring from
- Poland
- Work type
- Remote
- Posted
- Sep 27, 2026
Data Engineer
Working as a Data Engineer you will:
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Connect and extract information from diverse sources, such as ERPs, SharePoint, APIs, and flat files, turning scattered information into a reliable foundation.
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Take charge of hands-on pipeline development, managing data ingestion, integration, and transformation processes.
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Design solid data models and rigorous reconciliation checks to guarantee absolute accuracy and traceability of all numbers.
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Create intuitive dashboards and self-service BI views (using tools like Sigma) to provide clear, trustworthy insights for the team.
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Collaborate closely with client stakeholders, explaining data provenance in plain language, resolving discrepancies, and building trust in the outputs.
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Mentor and review the work of a junior engineer within your two-person development pod, teaching best practices as you code.
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Make practical architecture and tooling decisions, balancing speed of delivery with system reliability.
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Maintain strict standards for data quality, security, and compliance throughout the entire project lifecycle.
About Chabre IT Services
Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions, smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality.
About our Client
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.
Qualifications
- Excellent Polish & English skills
- A Bachelor's Degree (preferably in Management Information Systems, Computer Science, Mathematics, or a related field).
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At least 4 years of commercial experience in data engineering.
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Strong hands-on skills in building pipelines and models using Python, SQL, PySpark, Snowflake, and Databricks.
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Proven ability in dimensional modeling and implementing automated data quality, validation, and reconciliation checks.
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Experience in integrating complex enterprise systems (like fund administration software or ERPs) into analysis-ready models.
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Track record of actively coding while simultaneously coaching and guiding a less experienced teammate.
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Excellent communication skills to effectively gather requirements, ask the right questions, and translate technical data concepts for non-technical users.
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Solid understanding of enterprise data anonymization, security protocols, and responsible AI practices.
We offer
- Rate up to 170,00 PLN/h + VAT
- Remote work
- Subsidy for peripherals in the amount of 500,00zł
- Working tool (MacBook Pro or Lenovo Legion 5)
- Co-financing of courses related to the position
- Benefits: MultiSport, Medicover