Databricks Data Engineer
⚲ Warszawa
125–135 zł netto (+ VAT) / godz.
Wymagania
- Python
- PySpark
- SQL
- Databricks
Opis stanowiska
Nasze wymagania:
5-6 YoE in Data Engineering with Databricks
Very strong Python and PySpark skills; proven experience with Databricks
Experience working in large, shared codebases
SQL skills, especially reading and understanding complex logic
Object-oriented programming experience, clean code principles
Strong data modelling background (transactional and analytical)
Experience redesigning models during platform migrations
Very good English skills
O projekcie:
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Databricks Data Engineer.
Type of project: IT Services
Office location: Poland
Work model: Remote from Poland
Budget: 125 - 135 PLN net/ h - b2b
Project length: till the end of 2026, possible to extend it
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP
Zakres obowiązków:
Designing and implementing data processing solutions using Databricks for large-scale and diverse datasets
Creating, developing, and optimizing data pipelines using Python and cloud-based tools
Collaborating with Solution Architects to define and apply best practices in data engineering
Ensuring data consistency, security, and scalability within cloud environments
Participating in the maintenance and further development of existing data solutions
Ensure software engineering quality, reusability, and long-term maintainability
Apply software engineering best practices (clean code, OOP, modularization, refactoring)
Actively participate in code reviews
Oferujemy:
Remote working model
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance
5-6 YoE in Data Engineering with Databricks
Very strong Python and PySpark skills; proven experience with Databricks
Experience working in large, shared codebases
SQL skills, especially reading and understanding complex logic
Object-oriented programming experience, clean code principles
Strong data modelling background (transactional and analytical)
Experience redesigning models during platform migrations
Very good English skills
O projekcie:
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Databricks Data Engineer.
Type of project: IT Services
Office location: Poland
Work model: Remote from Poland
Budget: 125 - 135 PLN net/ h - b2b
Project length: till the end of 2026, possible to extend it
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP
Zakres obowiązków:
Designing and implementing data processing solutions using Databricks for large-scale and diverse datasets
Creating, developing, and optimizing data pipelines using Python and cloud-based tools
Collaborating with Solution Architects to define and apply best practices in data engineering
Ensuring data consistency, security, and scalability within cloud environments
Participating in the maintenance and further development of existing data solutions
Ensure software engineering quality, reusability, and long-term maintainability
Apply software engineering best practices (clean code, OOP, modularization, refactoring)
Actively participate in code reviews
Oferujemy:
Remote working model
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance
🔍 Dekoder Ogłoszenia
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5-6 YoE in Data Engineering with Databricks
Oczekiwane jest doświadczenie, ale konkretny zakres obowiązków może być mniej wymagający lub bardziej rutynowy niż sugeruje liczba lat.
🔴
large, shared codebases
Może oznaczać pracę z istniejącym, potencjalnie złożonym i trudnym do zrozumienia kodem, a nie tworzenie od podstaw.
🔴
proven experience with Databricks
Wymagane jest doświadczenie, ale niekoniecznie na zaawansowanym poziomie, może wystarczyć podstawowa znajomość platformy.
🔴
Collaborating with Solution Architects to define and apply best practices in data engineering
Twoja rola może polegać głównie na implementacji wytycznych architektów, a nie na samodzielnym definiowaniu najlepszych praktyk.
🔴
Ensure software engineering quality, reusability, and lo
Ostatnie słowo jest urwane, co sugeruje niedokończone lub niepełne wymagania dotyczące jakości kodu.