Junior Data Product & AI Engineer

Job not on LinkedIn

🔥 18 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 with business teams to validate 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 support the development of data expertise across the organization • Assist with the integration of new data sources and migrations to the AWS-based platform • Develop modern data engineering solutions

🎯 Requirements

• Initial hands-on experience in data engineering, data analytics, or data platforms, gained through professional experience, working student positions, internships, or personal projects • Basic understanding of data modeling and data structuring • Basic knowledge of SQL • Initial experience with data engineering tools such as dbt, Airflow, and Git • Interest in cloud technologies • Basic understanding of data access and role- and permission-based access concepts is desirable • Strong communication skills • Interest in agile ways of working • Initiative and a proactive approach • Willingness to learn • Willingness to take on responsibility and continue developing professionally

🏖️ Benefits

• Part-time work is just as possible as full-time employment • An inclusive working environment, with support for specialized equipment, individual needs, or other barriers • The opportunity to contact the Diversity Team with questions about diversity before or during the application process