Data Engineer
Cyclad
⚲ Warszawa
100–120 zł netto (+ VAT) / godz.
Wymagania
- SQL
- Snowflake
- Python
- Tableau
- Microsoft Power BI
Opis stanowiska
Nasze wymagania: Minimum 5+ years of experience in building and maintaining data processing solutions Strong foundation in SQL Familiarity with Snowflake or other database systems Understanding of ETL tools and version control systems (GitLab CI/CD) Basic Python skills for data processing tasks Demonstrates analytical thinking, adaptability, and effective collaboration within teams Fluent in English and Polish (minimum B2) Mile widziane: Knowledge of reporting tools such as Tableau or Power BI 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 for an experienced Data Engineer to join a hybrid, development team in Warsaw. The role requires strong technical expertise in data processing and cloud-based solutions, as well as direct collaboration with client stakeholders. Type of project: IT services Office location: Warszawa, Poland Work mode: Hybrid, 2 days in the office Budget: 100–120 PLN net/h – b2b Project length: Long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Zakres obowiązków: Build and maintain data solutions tailored to clients’ analytical and business needs Work on data systems using high-level programming languages including SQL and Python Apply modern, cloud-based data technologies and engineering methodologies following best practices and international standards Join an international, cross-functional team, enhancing both technical expertise and communication skills Work with technologies such as Snowflake, Python, Tableau, or GitLab CI/CD Collaborate directly with the client to deliver assigned tasks Contribute to project documentation and knowledge transfer Oferujemy: Opportunity to work on modern cloud-based data engineering projects Professional development in data engineering and analytics Hybrid working model 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