
GFT Poland · Kraków, Poznań, Wrocław, Łódź, Warszawa
Expert Data Engineer
SeniorInżynieria danych / SQLMin. 7 lat doświadczeniaHybrydowo
W skrócie
zdania wybrane z oferty- Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)
- 7+ years of commercial experience as a Data Engineer
- As an Expert Data Engineer, you will help design and build modern data platforms and products across cloud and on-premise environments.
Technologie
Wymagane
Mile widziane
Pełny opis
z No Fluff JobsOpis oferty
What will you do?
As an Expert Data Engineer, you will help design and build modern data platforms and products across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams.
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
- 7+ years of commercial experience as a Data Engineer
- Strong SQL, Python
- Experience with data modelling
- Understanding of data warehousing, data lakes and data lakehouse architectures
- Hands-on experience with GCP data engineering tools
- Very good knowledge of BigQuery
- Experience with DBT, Airflow and Trino
- Understanding of CI/CD principles and practices
- Experience designing and building scalable data pipelines
- Experience with Spark/PySpark
- Experience with BI tools such as Power BI, Qlik or Apache Superset
- Experience with Snowflake
- Experience with Databricks
Zakres obowiązków
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop and maintain ETL and ELT pipelines
- Onboard new data sources and build data ingestion frameworks
- Design, build, test and deploy cloud data warehouses and data products
- Optimize data views and schemas for reporting and visualization use cases
- Review, interpret and implement business and technical requirements
- Collaborate on backlog refinement, user stories and epics in Jira
- Ensure data platform performance, scalability and reliability
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