Real time data engineer internship

Duration: 2 months

Type: Unpaid Internship

Location: Remote

We are looking for a Data Engineering Intern to help us build and improve real-time data pipelines for a financial technology platform.

You will work with real-time data ingestion, streaming, cleaning, and ClickHouse, helping ensure our data is accurate, reliable, and continuously available to the application and frontend.

What you’ll work on

• Ingest real-time data from APIs and WebSockets.
• Clean, normalize, and store data in ClickHouse.
• Detect and prevent missing or duplicated data.
• Handle reconnections and data interruptions.
• Help maintain reliable, gap-free real-time and historical data.
• Work with the backend team to ensure data is correctly delivered to frontend charts.

Requirements

• Basic experience with Python and/or Go.
• Good understanding of SQL and databases.
• Familiarity with APIs or WebSockets.
• Interest in real-time systems and data engineering.

Nice to have: ClickHouse, Kafka/RabbitMQ, Redis, or experience with financial/time-series data.

A short, hands-on internship for someone looking to gain real experience working with real-time data infrastructure and financial technology.

Pay: 1.00DH per month

Work Location: Remote