Position: Data Engineer (Poland only)
Company: DataArt
Category: Data Engineer
Experience required: 5y
English level: intermediate

The goal of the project is to create Data Solution with well-established data population, data governance and data analysis processes for the entire company in order to let different departments can leverage advantages of data insights.
This is a new project for DataArt. The project is in the active development stage now. The project team consists of 2-3 Data Engineers for the beginning. The team will grow as the solution grows.

**Client**
The client is a Swiss-based European, energy company with activities in natural gas, power, and oil markets, focused on multi-commodity wholesale, trading and sales, energy infrastructure, and industrial assets.

**Position Overview**
This project will allow you to work with top-notch data management technologies and architecture approaches.

**Technology Stack**
Azure Data Platform (MS Azure Data Lake), Data Warehouse (SAP BW, Teradata, Oracle), Data Lake / Laskehouse (Databricks).

**Requirements**
- Master degree in Business / Economics / IT
- 8-12 years of experience as a Data Engineer 
- Experience with data modelling (conceptual, logical, physical) and data modelling documentation
- Professional experience and conceptual knowledge of building and maintaining physical and logical data models
- Ability to think beyond technology requirements to build ONE logical Data & Analytics platform
- Excellent knowledge and proven professional experience with MS Azure Data Lake / Data Warehouse applications or other Data Warehouse (SAP BW, Teradata, Oracle, etc.) or Data Lake / Laskehouse (Snowflake, Databricks, Google Big Query, AWS Redshift, etc.) applications
- Well-structured, analytically thinking, and demonstrating the ability to explain processes in a clear and understandable manner to a non-technical audience
- System management expertise with monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment
- Excellent interpersonal communication and presentation skills
- Self-driven, flexible, open-minded professional and proactive team player who ensures implementation towards agreed goals and timelines
- Ability to take ownership and proven strive for excellence
- Good English

**Nice to have**
- Experience in designing a data platform architecture in relation to the infrastructure
- Experience with schema design and data modeling, and analytical skills to QA the data and identify gaps and inconsistencies