Technology, Information and Internet

ai-omatic solutions GmbH

11-50

aiomatic builds a digital maintenance assistant that reduces unplanned downtime through predictive maintenance. It continuously analyzes machine data, detects anomalies early, and notifies teams with clear, actionable context. As part of the Application Engineering team, you’ll take ownership of our data storage and warehouse foundations (schemas, performance, reliability, and access patterns), while also shipping production-grade backend services and RESTful APIs that power our customer application and anomaly review workflows. 
Location: Hamburg (hybrid). You must be based within commutable distance to Hamburg, as one weekly on-site day is part of the role.
<h2>Tasks</h2>
<ul>
<li>Data Storage Ownership: Own the foundations of our data storage layer, including schema design, migrations, performance tuning, and reliability.</li>
<li>Data Modeling: Design clear, scalable schemas and data marts for analytics and product use cases.</li>
<li>Backend Services: Develop backend services that expose storage-backed capabilities to the product.</li>
<li>RESTful APIs: Design, implement, and maintain APIs with strong contracts, versioning, and observability.</li>
<li>Quality &amp; Operations: Improve test coverage, performance, and reliability through monitoring and thoughtful alerting.</li>
<li>Collaboration: Work closely with product and engineering to translate requirements into robust data and API solutions.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Experience: 5+ years of professional software development experience, with substantial time in data engineering.</li>
<li>Core Expertise: Strong expertise in Python and SQL.</li>
<li>Data Storage: Hands-on experience owning a database or warehouse, including schema design, performance, reliability, and access patterns.</li>
<li>Warehouse: Experience with analytics-oriented storage and modeling (e.g., data marts) and a pragmatic approach to cost and performance.</li>
<li>Backend: Experience building backend services in Python.</li>
<li>Database Layer: Hands-on experience with ORM tools, especially SQLAlchemy.</li>
<li>APIs: Strong experience designing and implementing RESTful APIs.</li>
<li>Fundamentals: Solid understanding of software engineering best practices, testing, and production operations.</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>A job with meaning: Our mission is to make maintenance more sustainable and efficient. Your work helps tackle real-world challenges in today’s industry.</li>
<li>A team with a heart: We’re a close-knit team—human, authentic, and open. We support each other and stick together.</li>
<li>Real flexibility: Morning yoga or a midday workout? With flexible working hours, you can easily balance work and personal life.</li>
<li>Perfect location: Our office is right in the heart of Hamburg, next to the City Hall—central and easy to reach.</li>
<li>Workations: Want to work from somewhere else for a while? You can enjoy up to 4 weeks per year of “work from everywhere.”</li>
<li>Team events: Whether it’s cooking together, outdoor adventures, or after-work meetups—we regularly strengthen our team spirit through events.</li>
<li>Free drinks: Oat milk coffee, Fritz-Kola, or an after-work beer—our fridge is always well stocked, and drinks are on us.</li>
<li>Best hardware: From day one, you’ll get high-quality hardware that fits your needs—you choose what works best for your daily work.</li>
</ul>

(Senior) Data Engineer (Backend + APIs) (all genders welcome)

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