The customer is a British company producing electricity with zero carbon emissions.
REQUIREMENTS
Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 3+ years
Hands-on experience with Databricks 2+ years
Experience with Python
Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)
Knowledge of the Energy industry (e.g. energy trading, utilities, power systems etc.) would be a plus
Experience with Geospatial data would be a plus
At least an Upper-Intermediate level of English
RESPONSIBILITIES
Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects
End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices
Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management
Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination
WHAT WILL YOU GET WITH ELEKS
Above average compensation
Close cooperation with a customer
Challenging tasks
Competence development
Team of professionals
Dynamic environment with a low level of bureaucracy