Senior Data Engineer
⚲ Kraków, Poznan, Wrocław, Łódź, Warszawa
14 600 - 22 300 PLN (PERMANENT)
Wymagania
- Data engineering
- SQL
- Python
- Data modelling
- Data warehouse
- Data Lake
- GCP
- dbt
- Airflow
- Trino
- CI/CD
- Data pipelines
- BigQuery
- Bi tools (nice to have)
- Power BI (nice to have)
- Qlik (nice to have)
- Apache Superset (nice to have)
- Snowflake (nice to have)
- Databricks (nice to have)
- Spark (nice to have)
- PySpark (nice to have)
Opis stanowiska
O projekcie:
What will you do?
Join a team focused on building and evolving modern cloud-based data platforms and analytical solutions. You will design and develop scalable data pipelines, data models, and transformation processes, enabling efficient data consumption across business and technology teams while supporting data-driven decision-making.
We offer
- Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)- Working in a highly experienced and dedicated team- Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)- Online training and certifications- Access to e-learning platform- Work From Anywhere (up to 140 days/year abroad)- Social events
Wymagania:
- 5+ years of commercial experience as a Data Engineer- Strong SQL, Python- Experience with data modelling- Knowledge of data warehousing, data lakes and data lakehouse concepts- Hands-on experience with GCP data engineering tools- Very good knowledge of BigQuery- Experience with DBT, Airflow and Trino- Understanding of CI/CD practices and automation- Experience designing and implementing scalable data pipelines
Nice to have
- Experience with Spark/PySpark- Experience with BI tools such as Power BI, Qlik or Apache Superset- Experience with Snowflake- Experience with Databricks
Codzienne zadania:
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop and maintain ETL processes and data pipelines
- Optimize data views and storage structures for analytics and visualization use cases
- Review, refine and implement business and technical requirements
- Collaborate on backlog management, user story refinement and sprint planning activities
- Onboard new data sources and develop data ingestion frameworks
- Design, build, test and deploy cloud data warehouses and data products
- Ensure data quality, performance, reliability and scalability across solutions
What will you do?
Join a team focused on building and evolving modern cloud-based data platforms and analytical solutions. You will design and develop scalable data pipelines, data models, and transformation processes, enabling efficient data consumption across business and technology teams while supporting data-driven decision-making.
We offer
- Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)- Working in a highly experienced and dedicated team- Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)- Online training and certifications- Access to e-learning platform- Work From Anywhere (up to 140 days/year abroad)- Social events
Wymagania:
- 5+ years of commercial experience as a Data Engineer- Strong SQL, Python- Experience with data modelling- Knowledge of data warehousing, data lakes and data lakehouse concepts- Hands-on experience with GCP data engineering tools- Very good knowledge of BigQuery- Experience with DBT, Airflow and Trino- Understanding of CI/CD practices and automation- Experience designing and implementing scalable data pipelines
Nice to have
- Experience with Spark/PySpark- Experience with BI tools such as Power BI, Qlik or Apache Superset- Experience with Snowflake- Experience with Databricks
Codzienne zadania:
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop and maintain ETL processes and data pipelines
- Optimize data views and storage structures for analytics and visualization use cases
- Review, refine and implement business and technical requirements
- Collaborate on backlog management, user story refinement and sprint planning activities
- Onboard new data sources and develop data ingestion frameworks
- Design, build, test and deploy cloud data warehouses and data products
- Ensure data quality, performance, reliability and scalability across solutions
🔍 Dekoder Ogłoszenia
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Join a team focused on building and evolving modern cloud-based data platforms and analytical solutions.
Może oznaczać pracę nad nowymi, ekscytującymi technologiami, ale też potencjalnie nad niedojrzałymi lub nieustabilizowanymi systemami.
🔴
Benefit package tailored to your needs
Pakiet świadczeń jest elastyczny, ale jego faktyczna wartość i zakres mogą być mniejsze niż w standardowych, szerokich ofertach.
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Work From Anywhere (up to 140 days/year abroad)
Chociaż brzmi to bardzo elastycznie, 140 dni to nadal znacząca część roku, która może wymagać od pracownika dużej samodyscypliny i organizacji.
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Highly experienced and dedicated team
Zespół może być doświadczony, ale "dedication" może oznaczać również wysokie zaangażowanie czasowe, potencjalnie przekraczające standardowe godziny pracy.
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Access to e-learning platform
Dostęp do platformy e-learningowej jest standardem, ale nie gwarantuje, że firma faktycznie zachęca lub daje czas na korzystanie z niej.