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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Working Student Product Engineer - Data & Platform Engineering, AI Accelerated

HeyJobs
Found 2 months ago
Location
Berlin, Germany
Time
Part-time
Work Mode
Hybrid
Salary
16 - 18 €/hourly
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • data warehousing
  • architecture
  • AWS
  • tooling
  • governance
  • SQL
  • software development
  • Jira
  • Confluence
  • GitHub
  • Docker
  • container platforms
  • ECS
  • infrastructure-as-code
  • Terraform
  • CloudFormation

Soft Skills

  • fast learner
  • problem-solving mindset
  • Agile ways of working
  • Strong, clear communication skills in English

Job Description

Our team enables product teams to move fast by building reliable data platforms, AWS-based infrastructure, developer tools, and observability solutions. You'll work closely with experienced product and engineering leaders and collaborate hands-on with data engineers on real platform challenges - from cloud infrastructure and data lakes to automation and cost optimization.We're a highly AI-driven company, using modern tools across development, QA, and monitoring, offering a supportive environment where you can learn quickly, grow, and make real impact. In this role, you can earn a target salary between 16 - 18 €/hourly. Your personal development and promotion opportunities are also guaranteed with us. Support a broad range of operational initiatives, including: Hands-on data operations (onboarding/offboarding, helpdesk tickets, bug fixes) Low–medium complexity data engineering and platform work, leveraging GenAI Identifying and implementing end-to-end automation opportunities using GenAISupporting team rituals, planning, and stakeholder management Organising workload and communicating priorities and challenges Maintaining clear, accessible documentation and playbooks for technical and non-technical audiences Translating technical concepts into business-friendly insights and facilitating cross-functional alignment Act as a Product Engineer:Own problems end to end - from identifying the right opportunity to delivering and maintaining production data products - combining product thinking with engineering execution and AI acceleration.

Requirements

  • Active enrollment at a German university in Computer Science, Engineering, or a related field
  • Ideally graduating in 2027 or early 2028, with interest in converting to full-time (long-term collaboration)
  • Availability to work 3–4 days per week on an ongoing basis
  • Strong interest in data and data platform engineering (e.g. data warehousing, architecture, AWS, tooling, governance)
  • Motivation to grow into a Product Engineer for Data & Platform Engineering
  • Proactive, fast learner with a problem-solving mindset
  • Experience with AWS or other cloud providers
  • Working knowledge of SQL and general software development
  • Familiarity with Agile ways of working and tools like Jira, Confluence, and GitHub
  • Strong, clear communication skills in English

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Prior experience in software, infrastructure, or technical product/project roles
  • Experience with Docker and container platforms (e.g. ECS)
  • Exposure to infrastructure-as-code tools (Terraform, CloudFormation)
  • Experience in vendor management or contract negotiations
▶Apply Now

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