Data Engineering Internship / Work Student

Paretos is the leading AI-based decision intelligence platform to make effective, data-driven decisions across entire organizations, enabling business users to evaluate complex data, predict future scenarios and take optimal actions via a no-code UI and integrations with no prior data science knowledge needed. We strongly believe that this ambitious path is only possible with a great and diverse team.

paretos is an inclusive company with equal opportunities for all. Our corporate culture is guided by the principles of GUNG HO
- we believe in the synergy of worthwhile work, the control of achieving a common goal, and the importance of cheering each other on. We are proud to have brought together passionate, high-performing and caring people of all genders, cultures, backgrounds and views. Together, they all form the heart of the company and drive us to new heights every day. The combination of remote work and regular onsite-events is our key to strengthen our team spirit and to form our culture. To keep this up, we are happy to receive your application if you already live in Germany.

We want to continue bringing the value of Decision Intelligence to more customers in the DACH region and as a next step in other markets.

We are therefore looking to hire an energetic, highly motivated, can-do attitude Data Engineering Internship / Working Student (all genders).

Tasks

In this role, you will be part of Pareto's Engineering team, helping to build our product and integrate it for our customers. Your main tasks will include:

• Participating in the development of our AI product, especially in the Data Engineering aspects, which include Data Validation, Extraction, Loading, and Transformation, as well as Data Processing in batch using pipelines or in real-time using APIs.
• Assisting in customer onboarding by preparing customer data for our AI. This involves writing transformation SQL or Python code, creating automated tests to validate customer data, writing validation code for the results produced by our AI, and developing transformation code to customize results for our customers.
• Learning all aspects of being part of the Engineering Team at an AI Software-as-a-Service Startup. This includes greenfield development as well as extending a growing product using state-of-the-art technologies, enjoying autonomy and trust from your peers to accomplish highly diverse and rewarding tasks, and having flexibility in your work hours and location

Requirements

• Engineering or Science Background
• Strong problem-solving and attention to detail skills are required
• Proficient in SQL and a programming language
• Prior experience with DBT or Snowflake is advantageous
• Fundamental understanding of Data Engineering or Data Science is a plus
• Fluency in English is essential; proficiency in German is desirable

Benefits

These little perks will be waiting for you if you become part of the paretos-family:

• At the office you can test your barista skills and brew some great coffee
  to keep you going throughout the workday or enjoy some coffee talks with
  your fellow paretoneers.
• Talking about the team: you’ll complement a highly skilled & motivated team of paretoneers ready to hit the road and have fun along the way
• We regularly enjoy professional and fun events online and IRL with the whole team
• You’ll get the office equipment you need to show off your full potential. We
  believe that your capabilities shouldn’t be limited by hardware components
• Work whenever it fits best for you with flexible working hours
• Receive a mobility budget to access various kinds of transportation whilst setting off your carbon emissions
• If you are part of the paretos dog club, feel free to bring your furry friend to the office

This is it from our side for now. What about you? Are you ambitious to disrupt the AI and Optimization world with us? Then send us your application!

Note: We encourage you to apply for this role, even if you don’t match all the requirements 100%. As long as you inherit the eagerness to learn, we are happy to be convinced that you are the right fit for us.

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Zuletzt aktualisiert am 19.04.2024