Expert Data Consultant
⚲ Kraków, Poznan, Wrocław, Łódź, Warszawa
26 040 - 34 440 PLN (B2B)
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?
As an Expert Data Consultant, 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.
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
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 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
What will you do?
As an Expert Data Consultant, 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.
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
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 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
🔍 Dekoder Ogłoszenia
🔴
Expert Data Consultant
Może oznaczać zarówno rolę eksperta z dużą autonomią, jak i bardziej ogólne stanowisko wymagające szerokiego zakresu umiejętności, ale bez gwarancji decyzyjności.
🔴
help design and build modern data platforms and products
Może oznaczać faktyczne projektowanie i budowanie od podstaw, ale też pracę z istniejącymi rozwiązaniami i ich modyfikację.
🔴
work closely with business and technical stakeholders
Wymaga umiejętności komunikacyjnych i negocjacyjnych, ale może też oznaczać konieczność ciągłego tłumaczenia podstawowych koncepcji technicznych.
🔴
agile delivery teams
Sugeruje pracę w metodyce zwinnej, co może oznaczać częste zmiany priorytetów i dużą elastyczność, ale też potencjalnie brak stabilności w planowaniu.
🟡
7+ years of commercial experience as a Data Engineer
Jest to jasne wymaganie, ale warto upewnić się, czy firma rozróżnia doświadczenie na różnych poziomach zaawansowania, czy szuka kogoś z faktycznym doświadczeniem na poziomie architekta.