Intern Data Engineering

Nextens

Karlsruhe

On-site

EUR 17,000 - 29,000

Full time

7 days ago
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Benefits offered by this job

Mentorship
International work environment

Job summary

ICIS in Karlsruhe, Germany is offering an internship in Analytical Data Engineering. You will work with Python, SQL and AI-driven solutions to automate data workflows and deliver trusted data products for the organization.

You will collaborate with experienced data engineers and analysts, gaining hands-on experience in data quality, validation, and cloud technologies, and contribute to meaningful projects from day one in a dynamic, international team.

Qualifications

  • Programming experience in Python and SQL.
  • Degree in Data Science, CS, or related field.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Develop and maintain data pipelines and automation.
  • Support data quality, validation, and testing.
  • Research and prototype AI-driven data engineering solutions.

Skills

Python
SQL
Analytical thinking
Communication skills
Team collaboration

Education

Bachelor's or Master's in Data Science, Computer Science, Data Engineering, Software Engineering, or related field

Tools

Cloud platforms

Job description

About ICIS

ICIS is a global leader in commodity intelligence, providing trusted data, analytics and expert insights across the global chemical and energy markets. We help organisations navigate complex and rapidly changing markets, enabling smarter, faster and more confident business decisions.

Trusted by more than 6,000 organisations in over 100 countries, ICIS combines independent pricing data, market intelligence and deep industry expertise to help customers manage risk, identify opportunities and optimise their strategies. With a global team and a strong culture of curiosity, collaboration and innovation, ICIS is part of LexisNexis Risk Solutions, within RELX, a global provider of information-based analytics and decision tools

About the Role

As part of the Analytical Data Engineering team, you will contribute to the development of a modern data platform with a focus on:

  • Data engineering and automation
  • Data quality and validation
  • Standardization and simplification of data workflows

You will work closely with experienced data engineers and analysts to build and improve data pipelines, manage large datasets, and support the delivery of trusted, business-ready data products across the organization.

Responsibilities:
  • Develop and maintain data pipelines and automation solutions using our Analytical Data Engineering Platform and its reusable framework components
  • Support data quality, validation, and testing initiatives to ensure trusted and business-ready data products
  • Research, prototype, and evaluate AI-driven solutions that automate data engineering tasks and improve developer productivity
Requirements:
  • Programming experience is required in Python and SQL
  • Knowledge of data engineering, data processing, data validation, and data quality concepts is an advantage
  • Strong analytical and problem-solving skills with a proactive and collaborative mindset
  • Strong communication and writing skills in English is a requirement
  • Enjoys working in a team, takes initiatives
  • Bachelor's or Master's degree in Data Science, Computer Science, Data Engineering, Software Engineering, or a related field
We Offer:
  • Mentorship and hands-on learning alongside experienced data engineers
  • Opportunities to work with Python, SQL, cloud technologies, and AI-driven solutions
  • Interactions with commodity teams (e.g. Power, Gas, LNG, Chemicals e.g.)
  • Flexible working hours and a competitive internship salary
  • A dynamic, international work environment where your ideas can make an impact
  • Ownership of meaningful projects from day one

Primary Location Base Pay Range: Germany - Karlsruhe €17,200 - €28,700.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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