Senior Data Engineer

Location: Remote (CET hours preferred)

Language: Russian-speaking team, English B1+ required

About the Role

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes.

At the initial stage, you will be the first engineer in this direction, taking full ownership of the data domain. As the product and data needs grow, we plan to expand the team, and you will have the opportunity to contribute to its development.

This role requires a high level of autonomy and ownership, combined with close collaboration with analytics, Data Science, and engineering teams.

What You’ll Do

• Develop a 1–2 year roadmap for the Data Warehouse platform. Evaluate the efficiency of the current tech stack.
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
• Collaborate with engineering and analytics teams on system design and architectural decisions.
• Ensure data governance and maintain high standards of data quality.
• Write and optimize queries for MongoDB and ClickHouse.
• Manage and maintain workflows in Airflow.
• At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.

Requirements

Experience: 7+ years of experience as a Data Engineer.

Programming: 5+ years of experience with Python, TypeScript, Node.js, Kafka.

Strong understanding of data processing algorithms and principles.

Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.

Solid understanding of Data Lake and Data Warehouse architectures.

Experience working with large-scale data and query optimization.

Ability to work collaboratively toward shared goals.

Strong sense of ownership, responsibility, and proactivity.

English level: B1+.

Nice to Have

Experience with Apache Parquet, MLflow, MongoDB.