Data Engineer
⚲ Warszawa, Włochy
140–160 zł netto (+ VAT) / godz.
Wymagania
- Python
- Databricks
- Snowflake
- SQL
- PySpark
- ETL/ELT
- Azure Data Platform
- CI/CD
Opis stanowiska
Nasze wymagania:
4+ years of experience in Data Engineering or a similar role.
Strong hands-on experience with Databricks, Snowflake, SQL, Python, PySpark, and modern ETL/ELT frameworks.
Experience integrating data from enterprise systems (ERP, finance platforms, APIs, SharePoint, flat files) and building scalable cloud-based data solutions.
Solid understanding of data modeling, performance optimization, data quality, reconciliation, governance, security, and Azure Data Platform.
Familiarity with CI/CD, DevOps practices, and automated deployment processes.
Excellent analytical, communication, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
Experience mentoring other engineers and knowledge of responsible AI practices are considered strong advantages.
Proficiency in English.
O projekcie:
At Pretius, we are looking for a Data Engineer to a project in the financial industry, Forward Deployed Engineering team. In this role, you will work directly with clients to transform fragmented, complex data into reliable, analysis-ready datasets that power modern tax compliance and data-driven decision-making.
Zakres obowiązków:
Design, build, and maintain scalable data ingestion, integration, and transformation pipelines using modern cloud technologies.
Integrate data from enterprise platforms including ERP, HR, finance systems, SharePoint, APIs, fund administration systems, and flat files.
Develop robust ETL/ELT workflows, data models, and automated validation processes to ensure data accuracy, traceability, and quality.
Deliver reliable, analysis-ready datasets, dashboards, and self-service reporting solutions.
Collaborate closely with client stakeholders to understand source systems, resolve data issues, and translate technical concepts into business language.
Define data architecture, optimize solution performance, and implement security, governance, and compliance best practices.
Support deployment, operational maintenance, and continuous improvement of data products while promoting reusable engineering patterns.
Mentor junior engineers through knowledge sharing and code reviews.
Oferujemy:
We focus on long-term relationships based on fair principles and reliability.
Co-financing of the Multisport card and Medicover private healthcare.
Modern office available.
Team bonding activities, internal courses, conferences, certifications.
4+ years of experience in Data Engineering or a similar role.
Strong hands-on experience with Databricks, Snowflake, SQL, Python, PySpark, and modern ETL/ELT frameworks.
Experience integrating data from enterprise systems (ERP, finance platforms, APIs, SharePoint, flat files) and building scalable cloud-based data solutions.
Solid understanding of data modeling, performance optimization, data quality, reconciliation, governance, security, and Azure Data Platform.
Familiarity with CI/CD, DevOps practices, and automated deployment processes.
Excellent analytical, communication, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
Experience mentoring other engineers and knowledge of responsible AI practices are considered strong advantages.
Proficiency in English.
O projekcie:
At Pretius, we are looking for a Data Engineer to a project in the financial industry, Forward Deployed Engineering team. In this role, you will work directly with clients to transform fragmented, complex data into reliable, analysis-ready datasets that power modern tax compliance and data-driven decision-making.
Zakres obowiązków:
Design, build, and maintain scalable data ingestion, integration, and transformation pipelines using modern cloud technologies.
Integrate data from enterprise platforms including ERP, HR, finance systems, SharePoint, APIs, fund administration systems, and flat files.
Develop robust ETL/ELT workflows, data models, and automated validation processes to ensure data accuracy, traceability, and quality.
Deliver reliable, analysis-ready datasets, dashboards, and self-service reporting solutions.
Collaborate closely with client stakeholders to understand source systems, resolve data issues, and translate technical concepts into business language.
Define data architecture, optimize solution performance, and implement security, governance, and compliance best practices.
Support deployment, operational maintenance, and continuous improvement of data products while promoting reusable engineering patterns.
Mentor junior engineers through knowledge sharing and code reviews.
Oferujemy:
We focus on long-term relationships based on fair principles and reliability.
Co-financing of the Multisport card and Medicover private healthcare.
Modern office available.
Team bonding activities, internal courses, conferences, certifications.
🔍 Dekoder Ogłoszenia
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Forward Deployed Engineering team
Prawdopodobnie będziesz pracować bezpośrednio u klienta, często w jego środowisku, co może oznaczać mniej standardowe godziny pracy lub konieczność dostosowania się do jego kultury.
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transform fragmented, complex data into reliable, analysis-ready datasets
Oczekuje się, że będziesz zajmować się bałaganem danych i tworzyć porządek, co może być czasochłonne i frustrujące.
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power modern tax compliance and data-driven decision-making
Projekt może być związany z bardzo specyficznymi i potencjalnie nudnymi obszarami biznesowymi, jak zgodność podatkowa.
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Experience mentoring other engineers and knowledge of responsible AI practices are considered strong advantages
Chociaż są to zalety, mogą być traktowane jako oczekiwania, zwłaszcza jeśli firma szuka kogoś z potencjałem na lidera.