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., 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 **Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

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+.

About Fundraise Up We're Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design. Our platform is trusted by many of the world's leading nonprofits, including UNICEF, the Alzheimer's Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we're recognized not just for our impact - but for the quality of the product we deliver. A Truly Global Product We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe. We're building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps. Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search. The Team We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing. Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You'll be joining a team where quality, mentorship, and mutual respect come first.