Data Engineering Intern - Analytics and AI

Descrizione del lavoro:

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone.
Role Summary

As a Data Engineering / Analytics Engineering Intern, you will work with a data-focused engineering team to help build and improve the data platforms that power analytics, AI experimentation, and operational insights across our vehicle and cloud systems.
This role sits at the intersection of data engineering, analytics, and applied AI. You will contribute to building reliable data pipelines, improving data models used for analytics, and exploring ways to automate analytical workflows using modern AI-assisted tooling.
The internship is designed to provide hands-on experience working with real production-scale datasets, modern data platforms, and cloud-based analytics infrastructure.
Responsibilities

* Develop AI-Driven Analytics Scenarios: Use AI to build smart scenarios that automate complex data requests, helping us answer high-stakes business questions faster than a human ever could.
* Build Intelligence Playbooks: Create and document strategic playbooks for recurring investigations. You'll use AI to standardize how the team performs deep-dive analytics and data audits.
* Engineer High-Efficiency Pipelines: Get under the hood with Python and SQL to build the ELT pipelines that serve as the high-velocity backbone for all our AI-driven workflows.
* Modern Analytics Engineering: Help build the "source of truth" by developing scalable data models that turn raw telemetry into clean, curated datasets for both people and models to use.
* System & Performance Tuning: Monitor and improve our data platforms, making sure our infrastructure stays as reliable and fast as the insights you're producing.
* Bridge the Gap: Work as the technical link between the Engineering and Analytics teams, translating real-world business needs into elegant, automated data solutions.
* Champion Data Quality: Write automated tests and integrate your code into modern CI/CD workflows to ensure our data is always production-ready.
Qualifications

Minimum Qualifications
* Candidates should be available for a full-time commitment from July 2026 through December 2026.
* Currently enrolled in a Bachelor's or Master's program at an accredited university in Serbia or Europe.
* Proficient in Python and SQL for data processing and transformation.
Preferred Qualifications
* Actively pursuing a degree in Computer Science, Mathematics, or a closely related technical field with the intent to return to school following completion of internship.
* Curiosity for Data Engineering: You understand the basics of how data moves from point A to point B and are eager to learn how to build scalable pipelines.
* Cloud Exposure: You've experimented with or are interested in cloud environments (like AWS, Google Cloud, or Azure) and want to see how they work at production scale.
* The "Builder" Mindset: You enjoy using AI tools to help you code, solve puzzles, or automate repetitive tasks in your personal or academic projects.
* Problem-Solving Skills: An interest in Analytics Engineering-you don't just want to move data; you want to understand the "why" behind the numbers.
* Tools & Tech: Exposure to (or a strong desire to learn) modern data tools like dbt, Databricks, or BigQuery. You don't need to be an expert, but you should be ready to dive in.

Pay Disclosure

Total Rewards

Total compensation packages for this position include base salary, eligibility for an annual performance bonus, and eligibility for equity.

In addition, our benefits package has been designed to support the health and wellness of our employees. Benefit offerings include Flex Time Off, retirement savings plans as well as medical, vision and dental coverage. For more information on RV Tech's comprehensive benefits package for full-time employees, check out our Global Benefits Site.
Company Statements

Total Rewards

Total compensation packages for this position include base salary, eligibility for an annual performance bonus, and eligibility for equity.

In addition, our benefits package has been designed to support the health and wellness of our employees. Benefit offerings include Flex Time Off, retirement savings plans as well as medical, vision and dental coverage. For more information on RV Tech's comprehensive benefits package for full-time employees, check out our Global Benefits Site.

External candidates can apply for this role through the RV Tech Careers site (https://rivianvw.tech/#careers). If you are a current employee, please apply through our internal job board (https://internal-careers-rivian.icims.com/).
Equal Opportunity
Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy
Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.

Please note this job posting represents an open, active vacancy. Additionally, we are currently not accepting applications from third party application services.

* Develop AI-Driven Analytics Scenarios: Use AI to build smart scenarios that automate complex data requests, helping us answer high-stakes business questions faster than a human ever could.
* Build Intelligence Playbooks: Create and document strategic playbooks for recurring investigations. You'll use AI to standardize how the team performs deep-dive analytics and data audits.
* Engineer High-Efficiency Pipelines: Get under the hood with Python and SQL to build the ELT pipelines that serve as the high-velocity backbone for all our AI-driven workflows.
* Modern Analytics Engineering: Help build the "source of truth" by developing scalable data models that turn raw telemetry into clean, curated datasets for both people and models to use.
* System & Performance Tuning: Monitor and improve our data platforms, making sure our infrastructure stays as reliable and fast as the insights you're producing.
* Bridge the Gap: Work as the technical link between the Engineering and Analytics teams, translating real-world business needs into elegant, automated data solutions.
* Champion Data Quality: Write automated tests and integrate your code into modern CI/CD workflows to ensure our data is always production-ready

Requisiti del candidato:

Minimum Qualifications
* Candidates should be available for a full-time commitment from July 2026 through December 2026.
* Currently enrolled in a Bachelor's or Master's program at an accredited university in Serbia or Europe.
* Proficient in Python and SQL for data processing and transformation.
Preferred Qualifications
* Actively pursuing a degree in Computer Science, Mathematics, or a closely related technical field with the intent to return to school following completion of internship.
* Curiosity for Data Engineering: You understand the basics of how data moves from point A to point B and are eager to learn how to build scalable pipelines.
* Cloud Exposure: You've experimented with or are interested in cloud environments (like AWS, Google Cloud, or Azure) and want to see how they work at production scale.
* The "Builder" Mindset: You enjoy using AI tools to help you code, solve puzzles, or automate repetitive tasks in your personal or academic projects.
* Problem-Solving Skills: An interest in Analytics Engineering-you don't just want to move data; you want to understand the "why" behind the numbers.
* Tools & Tech: Exposure to (or a strong desire to learn) modern data tools like dbt, Databricks, or BigQuery. You don't need to be an expert, but you should be ready to dive in