Senior Data Engineer

DataArt is seeking a Senior Data Engineer to join a global wealth and asset management project focused on building a centralized, scalable data ecosystem. You will play a key role in developing end-to-end data pipelines and optimizing our Snowflake warehouse to support strategic decision-making for C-level executives and advisors.

Key responsibilities

• Build and maintain scalable data pipelines for ingestion into Snowflake.
• Develop and manage transformations using dbt, including modeling, testing, and documentation.
• Design and orchestrate complex data workflows using Prefect.
• Utilize Workato to integrate and normalize data from critical SaaS platforms like Salesforce and NetSuite.
• Ensure data quality, lineage, and governance while optimizing performance and costs.

Requirements

• 5+ years of experience in data engineering with a focus on modern data platforms.
• Hands-on experience with Snowflake and dbt, supported by strong SQL skills.
• DBT certification.
• Proven familiarity with ETL/ELT patterns and API-based ingestion.
• Solid understanding of financial or wealth management data structures.

What we offer

• Up to 26 business days of vacation per year.
• 10 paid illness/special days off per year without medical documentation.
• Comprehensive health and life insurance coverage.
• Access to external learning platforms like O’Reilly, LinkedIn Learning, and Udemy.
• Certification reimbursement for professional development.
• Internal psychological support service and English language classes.