Data Platform Engineer (Databricks)
⚲ Warszawa, Wola
Do uzgodnienia
Wymagania
- Apache Spark
- Python
- SQL
- Azure DevOps
- Azure Cloud
- Terraform
- Biceps
- Airflow
- Visual Studio Code
- Pyspark
- R
- Scala
- Jira
- Confluence
Opis stanowiska
Nasze wymagania:
At least 3 years of hands-on experience with Apache Spark, preferably on Databricks (Databricks Associate certification is a plus)
Strong proficiency in Python (data processing and application development)
Solid experience with SQL and relational databases (preferably PostgreSQL)
Experience with Azure DevOps and modern development practices
Strong analytical mindset with the ability to take end-to-end ownership of services
Very good English communication skills; German is a plus
Mile widziane:
Insurance industry knowledge
Azure Cloud knowledge, Terraform, Biceps
Airflow
Visual Studio Code
Experience with web services and XML structures (also JSON, REST/SOAP).
Pyspark, R and/or Scala programming
AI Agent programming on Databricks
Experience with python seaborn, streamlit, plotly
Familiarity with version control (Git / Subversion), Jira, Confluence.
Background in agile / Scrum software development, reviews and test strategies.
O projekcie:
We are looking for an experienced Data Engineer to take ownership of developing and enhancing our Databricks-based platform framework.
In this role, you will work with a Medallion architecture, using Python and SQL to build and optimize data solutions that support a scalable and efficient data ecosystem.
You will also contribute to the continuous growth of our data platform, with opportunities to expand your technical skills, deepen your knowledge of the insurance domain, and explore new areas within a dynamic data environment.
Zakres obowiązków:
Develop and enhance assigned platform capabilities on Databricks, taking true end-to-end ownership
Proactively ensure that platform services deliver reliable, high-quality business value
Actively contribute to the Data & AI Community of Practice, sharing knowledge and best practices
Enable and support internal teams in effectively using the platform framework and its capabilities
Oferujemy:
Paid time off: Enjoy 30 paid days off per year.
Flexible benefits budget: Additional budget that can be used for both personal or professional development.
Comprehensive medical coverage: Full private healthcare for you and your family, including rehabilitation, psychotherapy, and dental services.
Home office allowance: Support for a comfortable and productive remote work setup.
Work from anywhere in Poland: Freedom to work remotely with the option to access our modern office in central Warsaw. You could expect occasional travels to Switzerland.
At least 3 years of hands-on experience with Apache Spark, preferably on Databricks (Databricks Associate certification is a plus)
Strong proficiency in Python (data processing and application development)
Solid experience with SQL and relational databases (preferably PostgreSQL)
Experience with Azure DevOps and modern development practices
Strong analytical mindset with the ability to take end-to-end ownership of services
Very good English communication skills; German is a plus
Mile widziane:
Insurance industry knowledge
Azure Cloud knowledge, Terraform, Biceps
Airflow
Visual Studio Code
Experience with web services and XML structures (also JSON, REST/SOAP).
Pyspark, R and/or Scala programming
AI Agent programming on Databricks
Experience with python seaborn, streamlit, plotly
Familiarity with version control (Git / Subversion), Jira, Confluence.
Background in agile / Scrum software development, reviews and test strategies.
O projekcie:
We are looking for an experienced Data Engineer to take ownership of developing and enhancing our Databricks-based platform framework.
In this role, you will work with a Medallion architecture, using Python and SQL to build and optimize data solutions that support a scalable and efficient data ecosystem.
You will also contribute to the continuous growth of our data platform, with opportunities to expand your technical skills, deepen your knowledge of the insurance domain, and explore new areas within a dynamic data environment.
Zakres obowiązków:
Develop and enhance assigned platform capabilities on Databricks, taking true end-to-end ownership
Proactively ensure that platform services deliver reliable, high-quality business value
Actively contribute to the Data & AI Community of Practice, sharing knowledge and best practices
Enable and support internal teams in effectively using the platform framework and its capabilities
Oferujemy:
Paid time off: Enjoy 30 paid days off per year.
Flexible benefits budget: Additional budget that can be used for both personal or professional development.
Comprehensive medical coverage: Full private healthcare for you and your family, including rehabilitation, psychotherapy, and dental services.
Home office allowance: Support for a comfortable and productive remote work setup.
Work from anywhere in Poland: Freedom to work remotely with the option to access our modern office in central Warsaw. You could expect occasional travels to Switzerland.
🔍 Dekoder Ogłoszenia
🔴
take end-to-end ownership of services
Oczekuje się, że będziesz odpowiedzialny za cały cykl życia usługi, od projektu po utrzymanie, bez możliwości delegowania zadań.
🔴
continuous growth of our data platform
Platforma jest prawdopodobnie w fazie rozwoju lub refaktoryzacji, co może oznaczać częste zmiany i nieustabilizowane procesy.
🔴
opportunities to expand your technical skills
Może oznaczać, że obecne umiejętności nie są wystarczające lub że będziesz musiał szybko uczyć się nowych technologii na własną rękę.
🟡
deepen your knowledge of the insurance domain
Jeśli nie masz doświadczenia w branży ubezpieczeniowej, będziesz musiał poświęcić znaczną ilość czasu na naukę specyfiki tej dziedziny.
🔴
explore new areas within a dynamic data environment
Może oznaczać nieprzewidywalność projektów i potencjalne zmiany w zakresie obowiązków.