Basic
Senior Data Engineer
Posted: 22.05.2026
Closing date: 06.07.2026
Job reference: 9777d4e62f711b0b42643a822b449d6f
Job information
Location
Lisboa, Lisbon Metropolitan Area, Portugal
Company
Jobio
Client / Employer
Fundraise Up
Job reference
9777d4e62f711b0b42643a822b449d6f
Listing type
Basic
EU work permit required
No
Posted
22.05.2026
Closing date
06.07.2026
Job description
HighlightsLocation: Remote (CET hours preferred)Compensation: €4,650 - €5,800 gross + stock optionsLanguage: Russian-speaking team, English B1+ requiredAbout Fundraise UpWe’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 ProductWe 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 TeamWe 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.About the RoleAs 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 DoDesign 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.RequirementsExperience: 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 HaveExperience with Apache Parquet, MLflow, MongoDB. Why work with usA strong, collaborative product team that owns what it buildsClear product vision and access to real customer feedback from global nonprofit leadersFlat structure: no politics, just great work with great peopleTransparent company culture-we share how we’re growing, where revenue comes from, and what’s nextLong-term focus: we offer equity options and value sustained, meaningful contributionBenefitsPrivate medical insurance for the employee and their family22 paid vacation days per yearUp to 14 paid public holidays per year5 company-paid sick leave daysEnglish learning courses.Relevant professional educationGym or swimming poolHome Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspaceCo-working€50 monthly allowance to cover internet and mobile phone expensesRemote 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.
Skills
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases