Data Engineering Internship Job at MDPI (Basel)

Data Engineer, 2025/2026 Intern

Join Atlassian as an intern and spend your summer with us having an impact on ho...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Be currently enrolled in a Bachelors or Masters program in Software Engineering, Computer Science or other related technical field and completing your studies before January 2027
Experience programming with Python, or other related object-oriented programming languages
Knowledge of data structures, in particular how they are implemented and how to apply them to meet data challenges
Proficiency in SQL and relational databases experience
Demonstrated interest in the Data Engineering field through academic coursework, previous work or internship experience, or personal projects

Job Responsibility

Influence product teams
inform Data Science and Analytics Platform teams
partner with data consumers and products to ensure quality and usefulness of data assets
help strategize measurement
collecting data
generating insights

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Data Engineer

We are looking for a motivated Data Engineer to join our growing data team. This...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

1+ years of practical experience or relevant internship in a data-focused role (preferred)
Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience)
Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server)
Familiarity with at least one programming language (preferably Python)
Understanding of ETL concepts and data warehousing fundamentals
Eagerness to learn new technologies and best practices in data engineering
Strong problem-solving skills and attention to detail
Effective communication and teamwork abilities
English level: Intermediate (B1) or higher

Job Responsibility

Assist in the design, development, and maintenance of scalable data pipelines
Support data integration from various sources (databases, APIs, flat files)
Help ensure data quality, consistency, and reliability
Collaborate with data analysts and data scientists to understand data requirements
Participate in code reviews and contribute to technical documentation
Monitor and troubleshoot data workflows, resolving issues as they arise

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Associate Data Engineer

At CVS Health, we’re building a world of health around every consumer and surrou...

Location

United States , Irving, TX

Salary:

122949.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field
completion of a university-level course, research project, internship, or thesis in each of the following: GIT
Java, Python, or R
XML, JSON, HTML, CSS, or JavaScript
Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
SAS or SQL
Spark, PySpark, or Scala
Machine learning and NLP
Extract/Transform/Load (ETL)
Data warehousing

Job Responsibility

Develop and build large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications
develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities
collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
test and maintain systems and troubleshoot malfunctions
leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines
utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems
build data marts and data models to support Data Science and other internal customers
integrate data from a variety of sources and ensure adherence to data quality and accessibility standards
analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems

What we offer

Full range of medical, dental, and vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
fully-paid term life insurance plan
short-term and long term disability benefits
well-being programs
education assistance
free development courses
CVS store discount
discount programs with participating partners

Fulltime

Data Engineer Intern

We deliver sustainable, extraordinary growth by creating a new, unique, inspirin...

Location

China , Shanghai

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Good interpersonal skills with the ability to collaborate, network, and build strong relations with team members and stakeholders
Good knowledge of advanced data structures and distributed computing
Good Knowledge of AI and machine learning concepts and algorithms
Broad knowledge of programming languages (e.g., Python, Java, Go, or Scala), including concepts from functional and object-oriented programming paradigms
Experience with AI/ML frameworks such as TensorFlow and PyTorch
Project experience with prompt tuning or fine-tuning experience on mainstream large language models such as ChatGPT(3.5, 4.0) and Meta Llama2
Fluent in English
At least 3 days working in office per week, and at least 6 months as the internship duration

Job Responsibility

Dive the transformation of IKEA into a more data-driven company by building and operating modern platforms and systems that are aligned with our constantly evolving data and AI landscape
Build the AI ecosystem at the top retail company
Play with PB level data of IKEA eco-systems(Online channels, Retail, customer fulfillment, etc.)
Work with top talents and get a jumpstart to your career

Parttime

Data and Analytics Engineer Intern

The Data and Analytics Engineer Intern will assist in designing, building, and t...

Location

United States , Irvine

Salary:

17.00 - 22.00 USD / Hour

Trace3

Expiration Date

Until further notice

Requirements

Enrollment in the Junior or Senior year of an undergraduate program or master’s program at an accredited college or university
Candidates should be pursuing a field of study applicable to the Data Intelligence internship
Cumulative grade point average (GPA) of 3.0 or better
Ability to work independently on assigned tasks and accepts direction on given assignments
Self-motivated individuals with a customer mindset and desire to help people
Enthusiasm for technical problem solving with attention to detail and strong communication skills
Ability to learn and research in a dynamic and engaging environment
Availability to work 40 hours per week throughout the internship

Job Responsibility

Assist in designing, building, and testing data platforms and analytics solutions to generate actionable insights for our customers
Partner with our Data Intelligence Team to determine the best approach around data ingestion, structure, and storage, then work with the team to ensure these are implemented accurately
Contribute ideas on how to make our customers’ data more valuable and work with members of Trace3’s Engineering Team to implement solutions

What we offer

Comprehensive medical, dental and vision plans for you and your dependents
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Competitive Compensation
Training and development programs
Major offices stocked with snacks and beverages
Collaborative and cool culture
Work-life balance and generous paid time off

Fulltime

Process Engineering Intern

Develop new analytical test methods to support processing development trials. Ut...

Location

United States , Valley View, OH

Salary:

Not provided

Peak Nano

Expiration Date

Until further notice

Requirements

Must be located in the Cleveland, OH area
Enrollment in a MS or BS in Chemistry, Physics, Engineering, or equivalent
R&D experience in a lab or industrial setting
Experience with Data Analysis (MATLAB, JMP, Excel, Minitab, or equivalent)
Experience with Instrumentation & Data Acquisition (LabVIEW, Flexlogger, DAQExpress or equivalent)
Programming experience (Matlab, Python or equivalent)
US Citizenship

Job Responsibility

Develop new analytical test methods to support processing development trials
Collaborate with technicians to write clear and concise work instructions for new test methods
Provide experimental design support for projects related to the manufacture and performance evaluation of GRIN polymer optics
Collaborate with a multi-disciplinary team to design and implement equipment modifications
Use data analysis tools and presentation tools to efficiently communicate experimental design, results, and conclusions
Manage project timelines and efficiently communicate progress, technical challenges, and successes
Participate in cross-functional FMEA and troubleshooting efforts
Understand and implement appropriate EH&S standards, policies, and procedures

Fulltime

Internship - Cloud Platform Engineering

The Greenlake Platform Cloud Infrastructure Engineer (PIE) team is looking for a...

Location

Ireland , Galway

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Currently enrolled in or recent graduate of a degree program in Computer Science, Software Engineering, Information Technology, or related field
Familiarity with programming languages (Python, Java, or similar), cloud concepts, and fundamental networking is a plus
Demonstrates an interest in troubleshooting and problem-solving with guidance from mentors
Strong written and verbal communication skills, with an eagerness to ask questions and learn

Job Responsibility

Support the development team by helping with the design, prototyping, and implementation of cloud-based solutions, under the guidance of experienced developers
Apply foundational technical skills to analyze data, troubleshoot issues, and suggest improvements to existing cloud infrastructure
Work closely with project managers, senior developers, and other interns to help ensure smooth delivery, deployment, and operation of cloud projects
Learn and assist in monitoring cloud environments and tools, understanding key metrics and alerting systems to ensure system reliability and performance
Contribute to the documentation of code, processes, and procedures to support knowledge sharing across the team

What we offer

Initial extensive onboarding to support you with adjusting to the role
Ongoing learning and development throughout the program
Be mentored by at least one senior member of the team and after two years in the program you can grow into a true professional with valuable relationships and international working experience
Competitive salary and great benefits
Great work-life balance including hybrid working and Wellness Fridays initiative

Fulltime

Data Engineering Internship

MDPI

Location:
Switzerland , Basel

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 04, 2026

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