Data Engineer – Fintech

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 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

• Build scalable data pipelines and model reliable data structures, for example using dbt • Consolidate data from different sources • Identify dependencies and develop clean, maintainable data models • Prepare data for reporting, analytics, and AI applications • Develop reusable and reliable data products • Structure and provide data for AI and automation use cases • Ensure data privacy, GDPR compliance, and secure access to sensitive financial data • Work closely with Product, Engineering, Data Analysts, and Data Scientists • Translate business requirements into scalable data solutions • Take end-to-end ownership of data products—from modeling and implementation through stable operations • Independently prioritize initiatives and drive them forward across team boundaries

🎯 Requirements

• Several years of experience building and operating data pipelines, data models, or analytics engineering solutions in production environments • Hands-on experience with SQL and Python • Experience with dbt and Airflow • Knowledge of data transformation, orchestration, and testing • Experience working with existing system landscapes and their business, technical, and organizational dependencies • Ability to understand complex processes in the consumer lending business and translate requirements into data models • Experience with testing, monitoring, plausibility checks, or other mechanisms for ensuring data quality • Understanding of the data quality, structure, and availability requirements of AI and automation applications • Ideally, experience with data privacy—particularly GDPR—access control concepts, and sensitive data in regulated environments • Data product mindset • German language skills at least at C1 level, both written and spoken

🏖️ Benefits

• Flexible working hours • 100% remote work possible anywhere in Germany • Option to work from the office or fully remotely • Holacratic self-organization without traditional hierarchies • Modern hardware • Ergonomic office furnishings • Fitness area • Free drinks, fruit, and snacks • No dress code • Agile way of working • Collaborative environment based on mutual respect • Mutual respect and appreciation