Level

RELX

Intern Data Engineering

RELX is hiring an Intern Data Engineering for a remote role open to applicants in Germany. It pays €17k-€29k a year and Level rates it ; you can apply on Level.

AI in this role

Develop and maintain data pipelines while researching AI-driven solutions to automate data engineering tasks.

pythonsqlcloud-technologies
data-engineeringdata-pipelinesautomationdata-qualityprototyping

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 

Sounds like the right opportunity for you?
We’d love to hear from you! Join ICIS and become part of an international team where your ideas, expertise and perspective can make a real difference. Apply today and take the next step in your career with us.

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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How we rate this

Intern Data Engineering at RELX rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData PipelinesAutomationData QualityPrototypingPythonSQLCloud Technologies

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

Use the typical data engineer figure as a reference when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data pipelines was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where data quality was part of your work. What did you do?
  5. Tell me about a project where prototyping was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Pipelines, Automation, Data Quality, and Prototyping. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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