Data consultant

AtlantisJobs; Polska; Remote; PLN 110,000 - 160,000; Full time

Job summary

GFT Poland poszukuje Data Engineera do projektowania i tworzenia nowoczesnych platform danych w chmurze i środowiskach on-premise. Będziesz współpracować z zespołami biznesowymi i technicznymi nad skalowalnymi rozwiązaniami danych, integracją źródeł danych i optymalizacją potoków przetwarzania dla analiz i raportowania.

Wymagane doświadczenie 3+ lat, biegła znajomość SQL i Python oraz praktyka z modelowaniem danych, hurtowni danych i narzędzi GCP, BigQuery, DBT, Airflow i Trino.

Qualifications

• 3+ years of commercial experience as a Data Engineer.
• Strong knowledge of SQL and Python.
• Experience with data modelling and Data Warehousing concepts.
• Hands-on experience with GCP data engineering tools and BigQuery.
• Experience with DBT, Airflow and Trino.
• Understanding of CI/CD practices.

Responsibilities

• Design, build, test and deploy cloud and on-premise data models and transformations
• Develop ETL processes and data pipelines
• Optimize data views and structures for reporting and visualization use cases
• Review, refine and implement business and technical requirements
• Collaborate with teams on backlog refinement, user stories and epics in Jira
• Onboard new data sources and develop ingestion, warehousing and data products

Skills

SQL

Python

Data modelling

Data Warehousing

Data Lakes

Data Lakehouse

CI/CD

Tools

DBT

Airflow

Trino

BigQuery

Job description

O projekcie:

What will you do?

As a Data Engineer, you will design and develop modern data platforms and data products in cloud and on-premise environments. You will work closely with business and technical teams to build scalable data solutions, onboard new data sources, and optimize data processing pipelines that support analytics and reporting across the organization.

Wymagania:

• 3+ years of commercial experience as a Data Engineer- Strong knowledge of SQL and Python- Experience with data modelling- Understanding of Data Warehousing, Data Lakes and Data Lakehouse concepts- Hands-on experience with GCP data engineering tools- Very good knowledge of BigQuery- Experience with DBT, Airflow and Trino- Understanding of CI/CD practices

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 ETL processes and data pipelines
• Optimize data views and structures for reporting and visualization use cases
• Review, refine and implement business and technical requirements
• Collaborate with teams on backlog refinement, user stories and epics in Jira
• Onboard new data sources and develop ingestion, warehousing and data products