Senior Data Platform Engineer (Dataiku)
⚲ Warszawa
28 560 - 35 280 PLN netto (B2B)
Wymagania
- Dataiku DSS Platform
- ETL/ELT
- SQL
- Cloud
- Machine Learning
Opis stanowiska
At Pretius, we are looking for a Senior Data Platform Engineer (Dataiku) to join an international team working on a financial industry project focused on migrating the current data ecosystem to a new data lakehouse platform.
Project / Role
• Design, develop, and deploy data pipelines using Dataiku DSS Platform
• Manage ETL/ELT processes and data integration tasks
• Perform data transformation, cleaning, and validation to ensure high data quality and reliability
• Build, optimize, and maintain machine learning models within the Dataiku environment
Requirements
• 5+ years of experience in a similar Data Platform / Data Engineering role, ideally within complex, enterprise-scale environments
• Strong knowledge and hands-on experience with the Dataiku DSS platform, including pipeline design, workflow orchestration, and model deployment
• Solid understanding of ETL/ELT processes and data integration best practices
• Practical experience with SQL and programming languages commonly used in data engineering
• Experience working with cloud data platforms (e.g., AWS, Azure, or GCP) and modern data architectures (data lake / data lakehouse concepts)
• Familiarity with machine learning workflows — building, validating, and optimizing models within a data platform environment
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, develop, and deploy data pipelines using Dataiku DSS Platform
• Manage ETL/ELT processes and data integration tasks
• Perform data transformation, cleaning, and validation to ensure high data quality and reliability
• Build, optimize, and maintain machine learning models within the Dataiku environment
Requirements
• 5+ years of experience in a similar Data Platform / Data Engineering role, ideally within complex, enterprise-scale environments
• Strong knowledge and hands-on experience with the Dataiku DSS platform, including pipeline design, workflow orchestration, and model deployment
• Solid understanding of ETL/ELT processes and data integration best practices
• Practical experience with SQL and programming languages commonly used in data engineering
• Experience working with cloud data platforms (e.g., AWS, Azure, or GCP) and modern data architectures (data lake / data lakehouse concepts)
• Familiarity with machine learning workflows — building, validating, and optimizing models within a data platform environment
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
🟡
international team working on a financial industry project focused on migrating the current data ecosystem to a new data lakehouse platform.
Praca w zespole międzynarodowym nad projektem migracji istniejącego ekosystemu danych do nowej platformy data lakehouse w branży finansowej.
🔴
Build, optimize, and maintain machine learning models within the Dataiku environment
Oczekuje się nie tylko budowania modeli ML, ale także ich optymalizacji i utrzymania w ramach platformy Dataiku.
🔴
5+ years of experience in a similar Data Platform / Data Engineering role, ideally within complex, enterprise-scale environments
Wymagane jest znaczące doświadczenie, najlepiej w dużych, złożonych środowiskach korporacyjnych, co może oznaczać pracę z przestarzałymi technologiami lub skomplikowanymi procesami.
🟢
We focus on long-term relationships based on fair principles and reliability
Firma podkreśla stabilność zatrudnienia i dobre relacje, co może sugerować chęć budowania długoterminowego zespołu.
🟡
Modern office available
Dostępne jest nowoczesne biuro, co jest standardową ofertą, ale niekoniecznie oznacza elastyczność pracy zdalnej.