Data Engineer | Snowflake, Databricks, Python | Remote (m/f/n)

For our Partner, we are looking for an experienced Data Engineer to join an international project delivered for a leading US-based client.

This is an excellent opportunity for someone who enjoys working at the intersection of data engineering, business collaboration, and problem-solving. You'll play a key role in transforming complex, fragmented data sources into reliable, business-ready datasets that drive decision-making and operational efficiency.

About the Role:

As a Data Engineer, you will work closely with client stakeholders and data owners to understand various source systems and build end-to-end data solutions. You will be responsible for integrating, transforming, validating, and modeling data from multiple sources, ensuring that every metric can be traced back to its origin and trusted by the business.

This is a highly hands-on position where you'll have significant ownership of the data workstream, from source discovery through delivery of validated datasets and reporting solutions.

Responsibilities:

• Collaborate directly with client data owners to understand and analyze source systems, including ERP platforms, SharePoint, fund administration systems, APIs, and flat files.
• Design, develop, and maintain data ingestion, integration, and transformation pipelines.
• Build scalable and reliable data models to support business analysis.
• Implement reconciliation, validation, and data quality controls to ensure data accuracy and consistency.
• Deliver dashboards and self-service reporting solutions that provide trusted business insights.
• Investigate and resolve data discrepancies with client stakeholders.
• Support and mentor less experienced engineers by sharing knowledge and reviewing work.
• Drive decisions related to data architecture, tooling, and implementation approaches.
• Promote reusable integration and validation patterns across projects.
• Ensure data security, compliance, and governance best practices throughout the engagement.

Requirements:

Must Have:

• Bachelor's degree.
• Minimum 4 years of professional experience as a Data Engineer or in a similar role.
• Languages: Polish B1/B2, English C1
• Strong hands-on experience with:
  • SQL
  • Python
  • PySpark
• Experience working with:
  • Snowflake
  • Databricks
• Proven experience building and maintaining data pipelines.
• Experience integrating data from ERP systems, SharePoint, APIs, fund administration platforms, and flat files.
• Strong understanding of data modeling concepts and data quality management.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Nice to Have:

• Experience with BI tools such as Sigma or similar platforms.
• Knowledge of data anonymization, security, and compliance best practices.
• Experience working with AI-enabled environments and data pipelines supporting AI workflows.
• Background in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.

What We Offer:

• B2B contract with SHIMI
• Rate of 150-175 PLN/h nett + VAT
• Fully remote work model (the candidate should work from Poland)
• Project Start: Mid-August 2026 (ASAP) Due to the urgent project timeline, we are considering candidates with immediate or short-term availability only.
• International project for a US-based client
• Co-financing of private healthcare package / sports card package
• Opportunity to work with modern data technologies and large-scale datasets