Working As a Data Engineer You WillConnect 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. About Chabre IT ServicesChabre 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 ClientOur 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.QualificationsExcellent Polish & English skillsA 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. We offerRate up to 180,00 PLN/h + VATRemote workSubsidy for peripherals in the amount of 500,00złWorking tool (MacBook Pro or Lenovo Legion 5)Co-financing of courses related to the positionBenefits: MultiSport, Medicover

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