Senior Data Engineer

🕒 April 23

🗣️🇷🇺 Russian Required

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Fundraise Up

Fundraise Up

51 - 200 employees

🤲 Charity

💳 Fintech

☁️ SaaS

Charity • Fintech • SaaS

Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.

📋 Description

• 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.

🎯 Requirements

• 7+ years of experience as a Data Engineer. • 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+.

🏖️ Benefits

• Private medical insurance for the employee and their family • 22 paid vacation days per year • Up to 14 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 • €50 monthly allowance to cover internet and mobile phone expenses • Remote working

Apply Now

Similar Jobs

🕒 April 7

Nagarro

10,000+ employees

🤝 B2B

🏢 Enterprise

DataOps Engineer at Nagarro managing global data operations and automating analytics workloads. Collaborating with cross-functional teams to enhance data platforms and ensure performance.

Ansible

AWS

Azure

Cloud

Docker

ETL

Google Cloud Platform

Grafana

Jenkins

Kubernetes

Prometheus

Python

ServiceNow

Shell Scripting

SQL

Terraform

🕒 April 6

Expleo Group

10,000+ employees

🚀 Aerospace

🔒 Cybersecurity

Senior Data Platform Compliance Engineer ensuring compliance in cloud environments. Collaborating on data governance and implementing CI/CD practices for data services.

AWS

Azure

Cloud

Cyber Security

Kubernetes

Python

Splunk

Terraform

Go

🕒 April 1

HumanIT Digital Consulting

51 - 200

🤝 B2B

🎯 Recruiter

Senior BI / Data Warehouse Engineer working fully remote from Portugal. Focus on Azure-centric solutions, data modelling, and collaboration for business intelligence.

Azure

Cloud

SQL

🕒 April 1

SuperAwesome

51 - 200

Data Engineer at SuperAwesome enhancing data products and client experience through engineering practices. Collaborate with teams for data-driven solutions in a fully remote environment.

AWS

Cloud

ETL

Microservices

PySpark

Python

SQL

🕒 January 23

Devoteam

5001 - 10000

🤖 Artificial Intelligence

🔒 Cybersecurity

Data Engineer responsible for developing cloud applications and ETL pipelines. Working with Node.js and AWS services at Devoteam, a leader in Digital Transformation.

AWS

Cloud

DynamoDB

EC2

ETL

JavaScript

MySQL

Node.js

Python