Senior Data Platform Engineer (Dataiku)
⚲ Warszawa
170–210 zł netto (+ VAT) / godz.
Wymagania
- Cloud
- Dataiku DSS Platform
- Machine Learning
- SQL
- ETL/ELT
Opis stanowiska
Nasze wymagania:
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
O projekcie:
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.
Zakres obowiązków:
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
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
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
O projekcie:
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.
Zakres obowiązków:
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
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
🔴
ideally within complex, enterprise-scale environments
Może oznaczać pracę z bardzo starymi, skomplikowanymi i trudnymi do zrozumienia systemami.
🔴
Strong knowledge and hands-on experience with the Dataiku DSS platform
Chociaż wymieniono Dataiku, może to oznaczać, że większość pracy będzie polegać na integracji Dataiku z innymi narzędziami, a nie tylko na samym Dataiku.
🔴
modern data architectures (data lake / data lakehouse concepts)
Może to oznaczać, że będziesz pracować nad budową od podstaw lub znaczącą przebudową istniejącej architektury danych.
🟡
We focus on long-term relationships based on fair principles and reliability
Jest to standardowy zwrot marketingowy, który nie gwarantuje konkretnych warunków pracy ani stabilności zatrudnienia.
🔴
Team bonding activities, interna
Część oferty jest niedokończona, co może sugerować pośpiech w tworzeniu ogłoszenia lub brak doprecyzowania benefitów.