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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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Data Engineer Summer Intern

S&P Global
Found 1 month ago
Location
London, United Kingdom
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Only UK
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Databricks
  • data structures
  • data modelling
  • ETL concepts
  • AWS

Soft Skills

  • problem-solving
  • critical-thinking abilities
  • eager to learn
  • adapt in a fast-paced environment
  • team-oriented
  • collaborative mindset
  • manage multiple tasks
  • prioritize effectively
  • analytical skills
  • communication skills
  • documentation skills

Job Description

Join a dynamic team that thrives in an agile environment, embracing all the principles of Agile. As a Data Engineer Intern , you will work alongside a group of intelligent, ambitious, and dedicated software professionals. The team values ownership and independence, empowering you to contribute to designing data architectures, building scalable data pipelines, and delivering reliable, high-quality data solutions that enable analytics and informed business decision-making.

Requirements

  • commence your internship from the 15th June until the 21st August 2026
  • Currently pursuing a bachelor’s degree in Computer Science, Information Systems, or a related field, ideally in your penultimate year
  • Basic to intermediate Python programming skills
  • Understanding of relational databases and SQL
  • Familiarity with data structures, data modelling, and ETL concepts
  • Strong analytical and problem-solving skills
  • Ability to learn quickly and work in a collaborative environment
  • Good communication and documentation skills
  • Familiarity with cloud environments (AWS preferred) is a plus
  • You must have the right to work in the UK through UK citizenship or approved EU Settlement Scheme

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English

Nice to Haves

  • Familiarity with cloud environments (AWS preferred)
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