Working Student Product Engineer, HeyJobs
Data & Platform Engineering, AI Accelerated
€16 - €18 per hour
Office located in Kreuzberg, Berlin
Recruitment and talent platform
Be an early applicant
Recruitment and talent platform
201-500 employees
Be an early applicant
€16 - €18 per hour
Office located in Kreuzberg, Berlin
201-500 employees
Company mission
To help everyone find the right job to live a fulfilling life.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- We're looking for a WS Product Engineer (all genders) to join our Data & Platform Engineering team, with a clear path to a full-time role after graduation
- 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
- 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 GenAI
- Supporting 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
- 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
- Our personal development and promotion opportunities are also guaranteed with us
Our take
For a long time, recruitment has relied on the same outdated processes and job boards. HeyJobs leverages machine learning to modernise the sector with a self-learning algorithm that matches workers with jobs that fit their profile.
The platform also optimises job adverts, saving employers money on their advertising spend. HeyJobs is now used by enterprises such as Sky, PayPal, Allianz and Motel One among many others, and over 750,000 people have found jobs through the platform. Its success in breaking into a market dominated by large incumbents like TotalJobs and Indeed is a testament to the ability of its cutting edge product to match talent to opportunities.
The company has accrued impressive funding, which has enabled it to invest heavily in developing its AI and expanding into new markets. In 2021 it doubled its headcount and is looking to continue to onboard talent to help power its R&D efforts and its rapid growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2022
$41.3m
SERIES B
May 2019
$11.8m
SERIES A
Total funding: $56.3m
Company benefits
- Diverse team: English is our working language. We have 23 different nationalities, 47% women (50% female leaders), a team of 40+ in tech, and are an LGBT+ champion
- High-growth stage: €20M+ in funding, currently raising a Series B, and more than doubling the team in 2022
- Work-Life balance: Hybrid working mode with 2 flexible days remote per week - due to COVID, currently 100% remote with the option to work from the office
- Great office: at Paul-Lincke Ufer (Kreuzberg) - great lunch options and food markets close by
- Perks & benefits: Mila health, discounted urban sports membership, team lunches, free drinks at the office, and much more
- High-quality equipment: Standing desks at the office, laptop of choice (Thinkpad / MacBook), headset, monitor for remote work
Leadership
Marius Luther
(CEO)Previously worked as a Consultant at McKinsey, and was CMO of Wimdu. Was Founder & CEO of Memorado.
Marius Jeuck
(CTO)Was Co-Founder & Head of Data Intelligence at Wimdu, and Founder & CTO of Memorado.
Marius Luther
(CEO)Was previously Founder & CEO of Memorado. Before than was CMO at Wimdu and a Consultant for McKinsey & Co.
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