Data Engineer

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.

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.

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.

• 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.

• Rate up to 180,00 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