Data Engineer (DBX,dbt), Regular
⚲ Warszawa
Do uzgodnienia
Wymagania
- Python
- SQL
- PySpark
- dbt (nice to have)
- GitHub (nice to have)
Opis stanowiska
Wymagania:
- Strong experience with Databricks (DBX)
- Advanced knowledge of Python (experience with libraries such as Pydantic is a plus; PydanticAI is a strong advantage)
- Solid experience in building and optimizing ETL/ELT pipelines
- Very good knowledge of SQL and relational databases
- Experience with PySpark
- Familiarity with dbt is a plus
- Experience with Azure Data Services is an advantage
- Knowledge of CI/CD practices and tools (e.g. GitHub)
- General understanding of infrastructure, orchestration, and IT security principles
- Proven experience in Data Engineering (Regular level)
- Bachelor’s or Master’s degree in a technical field (e.g. Computer Science, Engineering) or equivalent experience
- Fluent English (written and spoken)
- DevOps mindset (“you build it, you run it”)
- Ability to understand complex requirements and translate them into actionable solutions
- Strong communication skills and ability to work with cross-functional teams
- Attention to detail, especially regarding data quality and business logic
- Proactive attitude, ownership, and willingness to learn new technologies
- Experience in the insurance domain is a plus
Mile widziane:
- Familiarity with dbt
- Experience with Azure Data Services
- Experience in the insurance domain
O firmie:
- Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.
Zakres obowiązków:
- Contribute by building a training dataset for document processing and decision support
- Design and implement end-to-end data pipelines (ingestion, transformation, storage, and consumption)
- Prepare and maintain high-quality training datasets for machine learning models
- Work with large-scale data on a modern cloud data platform (Databricks)
- Apply best practices in data engineering, testing, and deployment
- Collaborate closely with data scientists, engineers, and business stakeholders
- Continuously improve performance, reliability, and automation of data workflow
Oferujemy:
- Contract under Polish law: B2B or Umowa o Pracę
- Benefits such as private medical care, group insurance, Multisport card
- There are English classes available
- Hybrid work (at least 1 day/week on-site) in Warsaw (Mokotów)
- Opportunity to work with excellent professionals
- High standards of work and focus on the quality of code
- New technologies in use
- Continuously learning and growth
- International team
- Pinball, PlayStation & much more (on-site)
- Strong experience with Databricks (DBX)
- Advanced knowledge of Python (experience with libraries such as Pydantic is a plus; PydanticAI is a strong advantage)
- Solid experience in building and optimizing ETL/ELT pipelines
- Very good knowledge of SQL and relational databases
- Experience with PySpark
- Familiarity with dbt is a plus
- Experience with Azure Data Services is an advantage
- Knowledge of CI/CD practices and tools (e.g. GitHub)
- General understanding of infrastructure, orchestration, and IT security principles
- Proven experience in Data Engineering (Regular level)
- Bachelor’s or Master’s degree in a technical field (e.g. Computer Science, Engineering) or equivalent experience
- Fluent English (written and spoken)
- DevOps mindset (“you build it, you run it”)
- Ability to understand complex requirements and translate them into actionable solutions
- Strong communication skills and ability to work with cross-functional teams
- Attention to detail, especially regarding data quality and business logic
- Proactive attitude, ownership, and willingness to learn new technologies
- Experience in the insurance domain is a plus
Mile widziane:
- Familiarity with dbt
- Experience with Azure Data Services
- Experience in the insurance domain
O firmie:
- Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.
Zakres obowiązków:
- Contribute by building a training dataset for document processing and decision support
- Design and implement end-to-end data pipelines (ingestion, transformation, storage, and consumption)
- Prepare and maintain high-quality training datasets for machine learning models
- Work with large-scale data on a modern cloud data platform (Databricks)
- Apply best practices in data engineering, testing, and deployment
- Collaborate closely with data scientists, engineers, and business stakeholders
- Continuously improve performance, reliability, and automation of data workflow
Oferujemy:
- Contract under Polish law: B2B or Umowa o Pracę
- Benefits such as private medical care, group insurance, Multisport card
- There are English classes available
- Hybrid work (at least 1 day/week on-site) in Warsaw (Mokotów)
- Opportunity to work with excellent professionals
- High standards of work and focus on the quality of code
- New technologies in use
- Continuously learning and growth
- International team
- Pinball, PlayStation & much more (on-site)
🔍 Dekoder Ogłoszenia
✓ Ogłoszenie wygląda transparentnie — brak typowych czerwonych flag.