Data Engineering Internship

Springer Capital · Real Estate Investment · Financial Advisory, Valuation & Restructuring · Python · Java · SQL · Scala · ETL/ELT · 7 days ago
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Location
In office (Nigeria)
Seniority
Intern
Employment
Internship

First seen by Alion on Oct 22, 2026.

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Springer Capital

Springer Capital is a real estate investment and advisory group with operations in Hong Kong, China, and North America.
springer.capital · Financial Advisory, Valuation & Restructuring · Real Estate Investment · 501-1000 employees
Tech stack of Springer Capital

Responsibilities:

  • Assist in designing and building data pipelines for structured and unstructured data. 
  • Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
  • Work with databases (SQL/NoSQL) for data storage and retrieval.
  • Help optimize data workflows for performance and scalability.
  • Collaborate with data scientists and analysts to ensure data quality and consistency.
  • Document workflows, schemas, and technical processes. 

 

Requirements:

  • Strong interest in data engineering, databases, and big data systems. 
  • Basic knowledge of SQL and relational database concepts.
  • Familiarity with Python, Java, or Scala for data processing.
  • Understanding of ETL concepts and data pipelines.
  • Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
  • Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
  • Good problem-solving skills and ability to work independently in a remote setup. 

 

What You’ll Gain: 

  • Hands-on experience in data engineering and ETL pipelines. 
  • Exposure to real-world data workflows.
  • Mentorship and guidance from experienced engineers.
  • Completion Certificate upon successful completion.
  • Letter of Recommendation based on performance.
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