Senior Data Engineer

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

• Design and evolve the architecture of the data platform and storage systems.

• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.

• Maintain and further develop the Data 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. 

Why work with us

• A strong, collaborative product team that owns what it builds

• Clear product vision and access to real customer feedback from global nonprofit leaders

• Flat structure: no politics, just great work with great people

• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next

• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family

• 23 paid vacation days per year

• 11 paid public holidays per year

• 5 company-paid sick leave days

• English learning courses.

• Relevant professional education

• Gym or swimming pool

• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace

• Co-working

• Remote working