11 months ago
Remote, PolandSenior
Responsibilities
- Develop databases, data lakes, and data ingestion pipelines for project datasets.
- Design, develop, and deploy comprehensive data and data science model solutions.
- Develop and maintain scalable data and machine learning solutions across the data lifecycle.
- Support databases, data pipelines, metadata, infrastructure, and code management.
- Collaborate with data platform, architecture, development, operational, and other stakeholder teams.
- Address data security, privacy, and third-party coordination.
Requirements
- At least four years of experience in data engineering, SQL, and ETL, including data validation, data mapping, and exception handling.
- At least two years of hands-on experience with Databricks.
- Experience with Python and AWS services.
- Experience with Power BI is preferred.
- Knowledge of the energy industry, such as energy trading, utilities, or power systems, is a plus.
- Experience with geospatial data is a plus.
- At least an Upper-Intermediate level of English.
Benefits
- Close cooperation with a customer.
- Challenging tasks and a dynamic environment with a low level of bureaucracy.
- Competence development.
- Work with a team of professionals.
About Eleks
Eleks is an IT services and consulting firm that builds custom software and provides QA/testing, data science, cloud, and DevOps services for enterprises and technology companies. Founded in 1991 and headquartered in Tallinn, Estonia, it is privately held and runs delivery centers across Eastern Europe with sales offices in Europe, the US, and the UK. Its revenue model centers on project- and team-based services, including dedicated engineering teams, product development, R&D, and technology consulting.