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 and continuously develop a domain-specific data foundation for the installment lending business • Develop scalable data pipelines and model reliable data structures, e.g. using dbt • Combine data from different sources and identify technical and business dependencies • Prepare data for reporting, analytics, and AI applications • Develop reusable and reliable data products • Structure and provide data for AI and automation use cases, taking data protection, GDPR, sensitive financial data, and secure data access into account • Work closely with Product, Engineering, Data Analysts, and Data Scientists • Translate requirements into scalable data solutions • Take end-to-end ownership of data products, from modeling and implementation through to stable operations • Independently prioritize and drive initiatives, coordinating across teams where necessary

🎯 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 transformation, orchestration, and testing • Experience working with existing system landscapes and managing business, technical, and organizational dependencies • Ability to familiarize yourself with complex processes in the installment lending business • Experience with testing, monitoring, plausibility checks, or other mechanisms for ensuring consistent and reliable data • Understanding of the data quality, structure, and availability requirements of AI and automation applications • Ideally, experience with data protection (e.g. GDPR), access control concepts, and the responsible handling of sensitive data in a regulated environment • Data product mindset: consistent, understandable, reusable, and reliable data • German language skills at least at C1 level, both written and spoken

🏖️ Benefits

• Flexible working hours • Fully remote / 100% remote work possible throughout Germany • Self-organization and a holacratic way of working without traditional hierarchies • Modern hardware • Ergonomic office equipment • Fitness area • Free drinks, fruit, and snacks • Agile way of working • Teamwork with friendly colleagues • Mutual respect and appreciation • Cross-functional collaboration on an equal footing • No dress code / Come as you are