Senior Data/DWH Engineer - Snowflake, DBT
⚲ Warszawa
35 000 - 47 000 PLN (PERMANENT)
Wymagania
- Snowflake
- dbt
- Data sets
- Python
- Data modelling
- Analytical skills
- Automation
- Data quality
- Stakeholder management
- Airflow (nice to have)
- Fivetran (nice to have)
- BI (nice to have)
- AI (nice to have)
Opis stanowiska
O projekcie:
We are looking for a Data Warehouse Engineer to join a growing data team building a modern enterprise data platform from scratch. This role offers the opportunity to work on a high-impact initiative supporting reporting and analytics across the organisation.
You will collaborate with cross-functional teams and help enable a self-service BI environment, working with tools such as Snowflake, dbt, Airflow, and BI platforms.
Wymagania:
- 4+ years of hands-on experience with Snowflake (or similar) and dbt,- Experience working with complex datasets- Good Python skills- Strong data modelling and analytical skills- Focus on automation and data quality- Ability to work with both technical and business stakeholders- Nice to have - experience with Airflow, Fivetran, or BI tools- Nice to have - Interest in using AI tools in data engineering
Codzienne zadania:
- Build and maintain data pipelines for analytics and reporting
- Ensure data quality, reliability, and efficient delivery through automation
- Develop and optimise data models for self-service BI
- Support users with data-related questions and reporting issues
- Contribute to data governance and performance optimisation
- Collaborate with teams to deliver scalable data solutions
- Create documentation and follow best practices
We are looking for a Data Warehouse Engineer to join a growing data team building a modern enterprise data platform from scratch. This role offers the opportunity to work on a high-impact initiative supporting reporting and analytics across the organisation.
You will collaborate with cross-functional teams and help enable a self-service BI environment, working with tools such as Snowflake, dbt, Airflow, and BI platforms.
Wymagania:
- 4+ years of hands-on experience with Snowflake (or similar) and dbt,- Experience working with complex datasets- Good Python skills- Strong data modelling and analytical skills- Focus on automation and data quality- Ability to work with both technical and business stakeholders- Nice to have - experience with Airflow, Fivetran, or BI tools- Nice to have - Interest in using AI tools in data engineering
Codzienne zadania:
- Build and maintain data pipelines for analytics and reporting
- Ensure data quality, reliability, and efficient delivery through automation
- Develop and optimise data models for self-service BI
- Support users with data-related questions and reporting issues
- Contribute to data governance and performance optimisation
- Collaborate with teams to deliver scalable data solutions
- Create documentation and follow best practices
🔍 Dekoder Ogłoszenia
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building a modern enterprise data platform from scratch
Może oznaczać, że projekt jest w początkowej fazie, co wiąże się z brakiem ugruntowanych procesów i potencjalnie dużą ilością pracy związanej z tworzeniem podstaw.
🔴
high-impact initiative
Może sugerować dużą presję i oczekiwania co do szybkich rezultatów, a także potencjalnie zmienne priorytety.
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enable a self-service BI environment
Może oznaczać, że będziesz musiał edukować i wspierać użytkowników biznesowych, którzy mogą mieć różne poziomy wiedzy technicznej.
🟡
Good Python skills
Chociaż ogłoszenie wymienia konkretne narzędzia, 'dobra' znajomość Pythona może oznaczać różne rzeczy, od podstawowych skryptów po zaawansowane programowanie.
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Nice to have - experience with Airflow, Fivetran, or BI tools
Wymagania 'nice to have' często stają się faktycznymi oczekiwaniami, jeśli kandydaci z tymi umiejętnościami są preferowani.