Data consultant
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.
Daily tasks
- 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
Requirements
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
Must have: Data engineering, SQL, Python, Data modelling, Data warehouse, Data Lake, GCP, dbt, Airflow, Trino, CI/CD, BigQuery
Nice to have: Bi tools, Power BI, Qlik, Apache Superset, Snowflake, Databricks, Spark, PySpark