DataArt is seeking a skilled Senior Data Engineer to join a project for a major global investment fund. You will play a key role in developing decision support systems for investment analysts, working end-to-end on data pipelines, transformation workflows, and advanced reporting solutions.
Key responsibilities
- Build, maintain, and enhance data pipelines and transformation workflows using dbt.
- Develop clean, reliable, and reusable data models for analytics and reporting.
- Develop and maintain Power BI dashboards, semantic models, and complex DAX measures.
- Perform data analysis, validation, reconciliation, and rigorous data quality checks.
- Collaborate with business and engineering teams to deliver production-ready solutions.
Requirements
- Strong SQL proficiency and extensive experience with modern ELT/data transformation practices.
- Hands-on experience with dbt and cloud data warehouses, specifically Snowflake.
- Solid understanding of dimensional modeling and analytics dataset structures.
- Strong working experience with Power BI, including performance optimization.
- Proficiency in Python, Airflow, and AWS cloud services.
- Ability to work independently in a fast-paced environment with minimal supervision.
What we offer
- Up to 26 business days of vacation per year plus 10 paid illness/special days.
- Comprehensive health and life insurance coverage.
- Access to the MyBenefit platform including Multisport options.
- Professional development through certification reimbursement and access to learning platforms like O’Reilly and Udemy.
- Internal psychological support and English language classes from day one.