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Data Science

Data Engineer

TeamQuest
Warszawa
Hybrydowo
Senior
min. 3 lata
TQ0101510
Pełen etat
B2B
Wynagrodzenie Jawne widełki
13 000–20 000PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Duży ZUS:
Dziennie: ~406 – 663 PLN
Miesięcznie: ~8 531 – 13 923 PLN
Rocznie: ~102 368 – 167 072 PLN
Mały ZUS:
Dziennie: ~460 – 717 PLN
Miesięcznie: ~9 663 – 15 055 PLN
Rocznie: ~115 958 – 180 662 PLN
Zobacz w kalkulatorze wynagrodzeń
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

Responsibilities:

  • Design, implementation, and development of ETL/ELT processes from multiple source systems to the Data Warehouse's data staging layer.
  • Design and maintenance of data architecture and schemas in the data staging layer, with a focus on performance, scalability, and reliability.
  • Data integration from source systems using APIs and other data exchange mechanisms.
  • Creation, optimization, and maintenance of advanced SQL queries used in data loading processes and by analytical teams.
  • Utilization of Python for data transformation, validation, and processing, process automation, and building components supporting ETL pipelines.

We offer:

  • Work on modern data solutions in an innovative education sector company.
  • Attractive terms of cooperation, commensurate with experience and skills.
  • Bonus system.
  • Flexible forms of employment: employment contract (full-time) or B2B cooperation.
  • Hybrid work model (3 days in the office, 2 days remotely).
  • Modern and comfortable office in Warsaw (near Dworzec Zachodni).
  • Opportunity for competence development and participation in interesting projects.
  • Private medical care (with the option to extend to family) and additional benefits such as life insurance and a sports card.

02 Wymagania

2 języki

Wymagane języki

Polski
Zaawansowany
Angielski
Zaawansowany

03 Profil kandydata

Requirements:

  • Minimum 3 years of commercial experience in the position of Data Engineer or related.
  • Very good knowledge of SQL and relational databases (PostgreSQL, MS SQL Server).
  • Practical experience in designing, building, and orchestrating ETL/ELT processes, including task scheduling.
  • Good knowledge of Python language in the context of data processing and transformation.
  • Experience in collaboration with BI tools (e.g. Power BI, Apache Superset) in terms of feeding data models and reports.
  • Understanding of data quality issues, schema versioning, and basic CI/CD practices in data projects.
  • Ability to effectively collaborate with data analysts and business stakeholders, good communication skills, and independence in problem-solving.

Additional advantages:

  • Experience working with Mage.ai or other data orchestration tools.
  • Experience in cloud environments.

04 O firmie

TeamQuest
20+ · Warszawa
Our client is a prestigious company in the education sector, specializing in the production and distribution of a wide range of educational materials. With a commitment to supporting the teaching and learning process at all levels of education - from preschool, through primary school, high school, technical school, to vocational training. Thanks to innovative solutions, such as the EDURANGA platform and ORKE training, the company provides teachers, directors, parents, and students with access to modern educational tools and methodologies. Established in 2023, the company is dynamically developing its services, offering about 4000 products, including hybrid textbooks, methodological materials, revision books, exam sheets, and e-meetings. We are currently looking for talents for various positions that will help in further development and innovation in education. If you want to have a real impact on shaping the future of education, join our team.
Zobacz ogłoszenia Strona www

05 Lokalizacja

Centrum, Warszawa
Tryb pracy:
Elastyczne godziny pracy
Godziny pracy biura: 7-20
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie