Data Engineer
⚲ Warszawa
21 000 - 27 720 PLN netto (B2B)
Wymagania
- SQL
- Python
- PySpark
- Snowflake
- Databricks
- ETL/ELT
- Data modeling
- API integrations
- BI Tools (Sigma / Power BI / Tableau)
- AI / LLM Data Workflows
Opis stanowiska
Data Engineer | 100% Remote | B2B | Up to 165 PLN/h
We are looking for an experienced Data Engineer to join a long-term international project focused on designing, building, and optimizing modern data solutions. In this role, you will work with diverse data sources, develop scalable data pipelines, ensure data quality, and support analytics and AI-driven initiatives.
What we offer
• B2B contract
• Up to 165 PLN/h
• 100% remote work
• Long-term cooperation in an international environment
Key responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines.
• Integrate data from multiple sources, including ERP systems, fund administration platforms, SharePoint, APIs, and flat files.
• Build and optimize data models for analytics and reporting.
• Implement reconciliation, validation, and data quality processes to ensure accurate and reliable data.
• Develop dashboards and support self-service reporting solutions.
• Collaborate with business stakeholders to understand data sources, resolve discrepancies, and translate business requirements into technical solutions.
• Contribute to data architecture decisions and promote reusable integration and data engineering best practices.
• Ensure data security, compliance, and governance standards are followed.
• Mentor junior team members and support knowledge sharing within the team.
Requirements
• At least 4 years of experience as a Data Engineer or in a similar role.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• Strong experience with SQL, Python, and PySpark.
• Hands-on experience with Snowflake and/or Databricks.
• Experience designing and developing ETL/ELT pipelines.
• Experience integrating data from ERP systems, fund administration systems, SharePoint, APIs, and flat files.
• Strong understanding of data modeling, dimensional modeling, and query/performance optimization.
• Experience implementing data reconciliation, validation, and data quality frameworks.
• Familiarity with Sigma or other BI tools such as Power BI or Tableau.
• Knowledge of data anonymization, security, compliance, and governance best practices.
• Understanding of AI/GenAI data workflows, including preparing high-quality data for LLM-based solutions and applying responsible AI principles.
• Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.
We are looking for an experienced Data Engineer to join a long-term international project focused on designing, building, and optimizing modern data solutions. In this role, you will work with diverse data sources, develop scalable data pipelines, ensure data quality, and support analytics and AI-driven initiatives.
What we offer
• B2B contract
• Up to 165 PLN/h
• 100% remote work
• Long-term cooperation in an international environment
Key responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines.
• Integrate data from multiple sources, including ERP systems, fund administration platforms, SharePoint, APIs, and flat files.
• Build and optimize data models for analytics and reporting.
• Implement reconciliation, validation, and data quality processes to ensure accurate and reliable data.
• Develop dashboards and support self-service reporting solutions.
• Collaborate with business stakeholders to understand data sources, resolve discrepancies, and translate business requirements into technical solutions.
• Contribute to data architecture decisions and promote reusable integration and data engineering best practices.
• Ensure data security, compliance, and governance standards are followed.
• Mentor junior team members and support knowledge sharing within the team.
Requirements
• At least 4 years of experience as a Data Engineer or in a similar role.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• Strong experience with SQL, Python, and PySpark.
• Hands-on experience with Snowflake and/or Databricks.
• Experience designing and developing ETL/ELT pipelines.
• Experience integrating data from ERP systems, fund administration systems, SharePoint, APIs, and flat files.
• Strong understanding of data modeling, dimensional modeling, and query/performance optimization.
• Experience implementing data reconciliation, validation, and data quality frameworks.
• Familiarity with Sigma or other BI tools such as Power BI or Tableau.
• Knowledge of data anonymization, security, compliance, and governance best practices.
• Understanding of AI/GenAI data workflows, including preparing high-quality data for LLM-based solutions and applying responsible AI principles.
• Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.
🔍 Dekoder Ogłoszenia
🔴
long-term international project
Projekt może być długoterminowy, ale jego stabilność i ciągłość nie są gwarantowane, a międzynarodowy charakter może oznaczać komunikację w języku angielskim i pracę z różnymi strefami czasowymi.
🔴
support analytics and AI-driven initiatives
Twoja rola może polegać głównie na przygotowaniu danych dla innych, a nie na bezpośrednim tworzeniu modeli analitycznych czy AI.
🔴
Contribute to data architecture decisions
Twoja rola w podejmowaniu decyzji architektonicznych może być ograniczona do zgłaszania propozycji, a nie do faktycznego wpływu na ostateczne rozwiązania.
🔴
Mentor junior team members
Może to oznaczać dodatkowe obowiązki związane z zarządzaniem i szkoleniem, które nie są w pełni odzwierciedlone w stawce godzinowej.
🔴
Up to 165 PLN/h
Oznacza to, że maksymalna stawka jest górnym limitem, a faktyczna stawka może być niższa, zależnie od negocjacji i Twojego doświadczenia.