Senior AI Data Platform Engineer (m/w/d)
Posted by Recare Deutschland GmbH | Budget: $105053 (fixed)
Job Description & Project Requirements
Location: Remote job <p><strong><span style="color:#121317">About Recare</span></strong></p><p><span style="color:#121317">As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe.</span></p><p style="min-height: 1.7em;"></p><p><strong><span style="color:#121317">What to expect as our Senior AI Data Platform Engineer (m/w/d):</span></strong></p><ul><li><p><strong><span style="color:#121317">Purposeful work</span></strong><span style="color:#121317"> – your role will have a positive impact on patients, their families, and healthcare professionals.</span></p></li><li><p><strong><span style="color:#121317">Company culture</span></strong><span style="color:#121317"> – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you.</span></p></li><li><p><strong><span style="color:#121317">Flexibility</span></strong><span style="color:#121317"> – want to pick up your child from daycare? Like to exercise during lunch? We’ll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement.</span></p></li><li><p><strong><span style="color:#121317">Edenred card</span></strong><span style="color:#121317"> – which you can use according to your needs.</span></p></li><li><p><strong><span style="color:#121317">Extra vacation day</span></strong><span style="color:#121317"> – so you can celebrate your birthday with your loved ones, you’ll have the day off.</span></p></li></ul><p style="min-height: 1.7em;"></p><p><strong><span style="color:#121317">In this role, you can make an impact and grow with us as Senior AI Data Platform Engineer (m/w/d):</span></strong></p><p><span style="color:#121317">You will own and evolve the data backbone that powers Recare’s AI products (Voice, Extract & Docs, Agent) and the shared platform primitives that agentic systems depend on. Your work ensures that data ingestion, processing, and serving are reliable, secure, and production-ready - forming the foundation for scalable AI systems in healthcare.</span></p><p style="min-height: 1.7em;"></p><ul><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">own</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">and evolve the ingestion and processing backbone</span></strong><span style="color:#121317">, including batch and streaming pipelines for structured and unstructured data - designed with idempotency, retries, backpressure, and failure isolation from the start.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">design and operate asynchronous processing systems for heavy AI workloads</span></strong><span style="color:#121317">, including queue/worker patterns, independent scaling, retry semantics, and poison-message handling.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">define</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">and maintain API contracts and data schemas across producers and consumers</span></strong><span style="color:#121317">, owning identity keys, versioning, and compatibility guarantees.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">own</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">data lifecycle primitives</span></strong><span style="color:#121317">, including secure storage (encryption at rest), sensitive data handling, retention and deletion semantics, right-to-erasure flows, and provenance/lineage for audit and debugging.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">design</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">secure service-to-service authentication for cross-boundary synchronization</span></strong><span style="color:#121317">, including short-lived credentials, rotation, least privilege, and auditability.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">build</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">platform primitives that make AI features productizable</span></strong><span style="color:#121317">, such as status tracking for long-running operations, feature gating, rollout controls, environment separation, multi-tenant isolation, and data minimization.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">build and maintain serving layers for ML/AI workloads</span></strong><span style="color:#121317"> - for example, unified data models that reconcile multiple sources into consistent, versioned views with cross-system identity resolution.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">make the system production-grade</span></strong><span style="color:#121317"> by driving observability (metrics, logs, traces, alerting), defining runbooks, and establishing cost and performance guardrails (throughput, latency, load testing).</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">partner</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">closely with BI and Product Data teams</span></strong><span style="color:#121317"> to expose clean, trustworthy datasets and align on KPI definitions - ensuring instrumentation is built into the backbone, not added later.</span></p></li></ul><p style="min-height: 1.7em;"></p> <br> <p><strong><span style="color:#121317">Here’s how we picture you as our Senior AI Data Platform Engineer (m/w/d):</span></strong></p><ul><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">bring</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">strong software engineering fundamentals</span></strong><span style="color:#121317"> and a high bar for design, testing, code quality, and operability.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">are</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">very familiar</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">with the current state of AI-native engineering</span></strong><span style="color:#121317">. You stay close to the frontier and adjust accordingly.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">have</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">deep experience building production-grade data and ingestion systems</span></strong><span style="color:#121317"> under real reliability constraints.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">are hands-on with asynchronous processing systems</span></strong><span style="color:#121317"> (queues, workers) and understand how they behave under load.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">are comfortable owning service APIs and data contracts</span></strong><span style="color:#121317"> across teams, treating schema evolution as a core engineering discipline.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">have</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">strong experience with AWS and cloud-native architectures</span></strong><span style="color:#121317">, including IAM, encryption, and event-driven systems.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">think</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">in systems and trade-offs</span></strong><span style="color:#121317"> and proactively design for observability, reliability, and performance.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">take ownership</span></strong><span style="color:#121317"> </span><strong><span style="color:#121317">of ambiguous problems and drive them to resolution</span></strong><span style="color:#121317">, aligning stakeholders and delivering outcomes.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">are comfortable working adjacent to AI/ML systems</span></strong><span style="color:#121317">, understanding data, evaluation, and performance trade-offs without needing to be a model expert.</span></p></li><li><p><span style="color:#121317">You </span><strong><span style="color:#121317">communicate confidently in English</span></strong><span style="color:#121317"> and are comfortable operating in an international environment.</span></p></li></ul><p style="min-height: 1.7em;"></p><p><strong><span style="color:#121317">Nice to haves:</span></strong></p><ul><li><p><span style="color:#121317">Experience with </span><strong><span style="color:#121317">Go</span></strong><span style="color:#121317"> or similar backend-oriented languages.</span></p></li><li><p><span style="color:#121317">Experience working with </span><strong><span style="color:#121317">regulated or sensitive data environments</span></strong><span style="color:#121317"> (e.g. healthcare, fintech).</span></p></li><li><p><span style="color:#121317">Familiarity with </span><strong><span style="color:#121317">healthcare data standards and modeling</span></strong><span style="color:#121317"> (e.g. HL7, FHIR, coded terminologies, cross-system identity resolution).</span></p></li><li><p><span style="color:#121317">Experience with modern </span><strong><span style="color:#121317">BI and data tooling</span></strong><span style="color:#121317"> (e.g. Snowflake, dbt, Looker).</span></p></li></ul><p style="min-height: 1.7em;"></p><p>Find more <a href="[Link Protected] Speaking Jobs in Germany</a> on Arbeitnow</a> GDPR Compliance: Sourced via verified public channels under Legitimate Interests (Art. 6(1)(f) GDPR). 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