Data Engineer
⚲ Warszawa
23 520 - 26 880 PLN netto (B2B)
Wymagania
- Databricks
- Snowflake
- SQL
- Python
- PySpark
- ETL/ELT
- Azure Data Platform
- CI/CD
Opis stanowiska
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.
Project / Role
• 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.
Requirements
• 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.
What do we offer?
• 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.
Project / Role
• 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.
Requirements
• 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.
What do we offer?
• 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
🔴
work directly with clients
Będziesz musiał często komunikować się z klientami, co może wymagać umiejętności tłumaczenia technicznych zagadnień na język biznesowy i rozwiązywania problemów.
🔴
transform fragmented, complex data into reliable, analysis-ready datasets
Oczekuje się, że będziesz zajmował się trudnymi i nieuporządkowanymi danymi, co może oznaczać dużo pracy związanej z czyszczeniem i normalizacją.
🟡
power modern tax compliance and data-driven decision-making
Projekt dotyczy specyficznej branży finansowej (podatki), co może wymagać zdobycia wiedzy domenowej i dostosowania się do jej specyfiki.
🟡
Mentor junior engineers through knowledge sharing and code reviews
Oprócz zadań inżynierskich, będziesz odpowiedzialny za wsparcie i rozwój młodszych kolegów, co może wymagać dodatkowego czasu i zaangażowania.
🔴
Support deployment, operational maintenance, and continuous improvement of data products
Rola może obejmować nie tylko budowanie, ale także bieżące utrzymanie i optymalizację istniejących rozwiązań, co może oznaczać pracę nad problemami produkcyjnymi.