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Data Engineering Intern Jobs in London, ON (NOW HIRING)

Analyze large data sets using advanced statistical methods to identify trading opportunities ... Programming proficiency with at least one major programming or scripting language (e.g. C++, Java ...

Collaborate effectively with engineering and laboratory stakeholders by communicating test progress, observations, data issues, and analysis findings in a clear and timely manner. * Promotes safe ...

... engineering company in energy and the built environment. Make an impression in an international ... Archival research, historical map reviews, desktop data collection, analysis, and report writing

Data Engineering Intern information

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a data engineering intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What cities near London, ON are hiring for Data Engineering Intern jobs? Cities near London, ON with the most Data Engineering Intern job openings:
Infographic showing various Data Engineering Intern job openings in London, ON as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

CA$150K/yr

Full-time, Internship

Medical, Dental, Retirement

Posted 14 days ago


Job description

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity. 

Overview of Intern Quant Researcher Position:

  • Research and implement strategies within the firm's automated trading framework.
  • Analyze large data sets using advanced statistical methods to identify trading opportunities.
  • Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Intern Quant Researcher:

  • Primary focus throughout the day is on researching and implementing trading ideas.

Skill Set Required For Position:

  • Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
  • Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
  • Strong communication skills and ability to work well with colleagues across multiple regions.
  • Ability to work well under pressure.

The minimum base salary for this role is $150,000 if located in New York.  This expectation is based on available information at the time of posting.  This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.  This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.  Successful candidates' compensation and benefits will be determined in consideration of various factors.

 

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