Senior Data Engineer

Fundraise Up

Remote
Base: €4,650 - €5,800 gross; bonus/equity: stock o...
Remote
7+ years data engineering experience
5+ years python typescript node.js kafka
Hands-on clickhouse airflow amazon s3 docker
Fundraise Up is seeking a Senior Data Engineer who will be responsible for designing and optimizing scalable data pipelines and ETL/ELT processes in a remote work environment. The ideal candidate should have over seven years of experience with strong technical skills in Python, TypeScript, and data processing technologies. This role offers competitive compensation, stock options, and a supportive company culture focused on collaboration and innovation

Job Summary

  • The role involves designing, building, and optimizing scalable data pipelines and ETL/ELT processes as the first engineer in this direction.
  • Candidates must have strong experience with Python, TypeScript, Node.js, Kafka, ClickHouse, and Airflow to manage high-throughput messaging and analytics.
  • Benefits include private medical insurance, 22 paid vacation days, home office setup assistance, and equity options.

Matching Summary

Match Score: 85

Fundraise Up is seeking a Senior Data Engineer who will be responsible for designing and optimizing scalable data pipelines and ETL/ELT processes in a remote work environment. The ideal candidate should have over seven years of experience with strong technical skills in Python, TypeScript, and data processing technologies. This role offers competitive compensation, stock options, and a supportive company culture focused on collaboration and innovation.

Salary

Base: €4,650 - €5,800 gross; Bonus/Equity: Stock options included; Benefits: Private medical insurance, gym allowance, home office setup

Skills & Requirements

Must-have

  • 7+ years Data Engineering experience
  • 5+ years Python TypeScript Node.js Kafka
  • Hands-on ClickHouse Airflow Amazon S3 Docker
  • MongoDB and ClickHouse query optimization
  • Airflow workflow management

Nice-to-have

  • Experience with Apache Parquet MLflow MongoDB
  • Strong sense of ownership and proactivity
  • Collaborative approach to shared goals

Key Requirements

  • 7+ years experience as a Data Engineer
  • English level B1+
  • Solid understanding of Data Lake and Warehouse architectures

Work Rights

Not specified

Tailored Resume

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