Junior Data Product & AI Engineer

Job not on LinkedIn

🔥 13 hours ago

🇩🇪 Germany – Remote

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hypoport SE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🛡️ Insurance

🏥 Healthcare

💼 Consulting

Insurance • Healthcare • Consulting

Hypoport SE is a publicly listed parent company that operates a network of technology firms serving the FinTech, PropTech and InsurTech sectors. It provides platforms and software-enabled services that connect lenders, brokers, insurers and other financial and real-estate market participants, while promoting agile, self-organized workplace culture and digital, activity-based offices. Hypoport positions itself as a growth-focused technology network enabling B2B platform solutions and talent development across its group companies.

📋 Description

• Support internal teams in connecting their data to the central Data Platform • Assist with setting up data access and infrastructure components, such as IAM roles, Lake Formation, Airflow connections, and secrets • Collaborate on validating data quality and consistency between source systems and the Data Platform • Contribute to improving the Developer Experience, for example through AI-assisted development tools or local development environments • Promote knowledge sharing and help build data expertise across the organization • Support Product and Business teams with the integration of new data sources and migrations to the AWS-based platform

🎯 Requirements

• Initial practical experience in Data Engineering, Data Analytics, or Data Platforms, gained through professional experience, working student roles, internships, or personal projects • Basic understanding of data modeling and data structuring • Basic knowledge of SQL • Initial exposure to data engineering tools such as dbt, Airflow, and Git • Interest in cloud technologies • Basic understanding of data access, as well as role and permission concepts, is desirable • Strong communication skills • Interest in agile ways of working • Proactive attitude and willingness to learn • Willingness to take on responsibility and continue developing professionally

🏖️ Benefits

• Full-time or part-time employment options • A workplace free from stereotypes that promotes diversity • Inclusive workplace • Support with specialized equipment, accessibility needs, and other barriers • Opportunity to contact the Diversity Team before or during the application process