Senior AI Data Platform Engineer (m/w/d) | JobSetuu

Description

Job Overview

• Source: Arbeitnow
• Location: Berlin
• Job Type: Full-Time

Job Description

About Recare

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.

What to expect as our Senior AI Data Platform Engineer (m/w/d):

• Purposeful work – your role will have a positive impact on patients, their families, and healthcare professionals.

• Company culture – 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.

• Flexibility – 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.

• Edenred card – which you can use according to your needs.

• Extra vacation day – so you can celebrate your birthday with your loved ones, you’ll have the day off.

In this role, you can make an impact and grow with us as Senior AI Data Platform Engineer (m/w/d):

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.

• You own and evolve the ingestion and processing backbone, including batch and streaming pipelines for structured and unstructured data - designed with idempotency, retries, backpressure, and failure isolation from the start.

• You design and operate asynchronous processing systems for heavy AI workloads, including queue/worker patterns, independent scaling, retry semantics, and poison-message handling.

• You define and maintain API contracts and data schemas across producers and consumers, owning identity keys, versioning, and compatibility guarantees.

• You own data lifecycle primitives, including secure storage (encryption at rest), sensitive data handling, retention and deletion semantics, right-to-erasure flows, and provenance/lineage for audit and debugging.

• You design secure service-to-service authentication for cross-boundary synchronization, including short-lived credentials, rotation, least privilege, and auditability.

• You build platform primitives that make AI features productizable, such as status tracking for long-running operations, feature gating, rollout controls, environment separation, multi-tenant isolation, and data minimization.

• You build and maintain serving layers for ML/AI workloads - for example, unified data models that reconcile multiple sources into consistent, versioned views with cross-system identity resolution.

• You make the system production-grade by driving observability (metrics, logs, traces, alerting), defining runbooks, and establishing cost and performance guardrails (throughput, latency, load testing).

• You partner closely with BI and Product Data teams to expose clean, trustworthy datasets and align on KPI definitions - ensuring instrumentation is built into the backbone, not added later.

Here’s how we picture you as our Senior AI Data Platform Engineer (m/w/d):

• You bring strong software engineering fundamentals and a high bar for design, testing, code quality, and operability.

• You are very familiar with the current state of AI-native engineering. You stay close to the frontier and adjust accordingly.

• You have deep experience building production-grade data and ingestion systems under real reliability constraints.

• You are hands-on with asynchronous processing systems (queues, workers) and understand how they behave under load.

• You are comfortable owning service APIs and data contracts across teams, treating schema evolution as a core engineering discipline.

• You have strong experience with AWS and cloud-native architectures, including IAM, encryption, and event-driven systems.

• You think in systems and trade-offs and proactively design for observability, reliability, and performance.

• You take ownership of ambiguous problems and drive them to resolution, aligning stakeholders and delivering outcomes.

• You are comfortable working adjacent to AI/ML systems, understanding data, evaluation, and performance trade-offs without needing to be a model expert.

• You communicate confidently in English and are comfortable operating in an international environment.

Nice to haves:

• Experience with Go or similar backend-oriented languages.

• Experience working with regulated or sensitive data environments (e.g. healthcare, fintech).

• Familiarity with healthcare data standards and modeling (e.g. HL7, FHIR, coded terminologies, cross-system identity resolution).

• Experience with modern BI and data tooling (e.g. Snowflake, dbt, Looker).

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Expert Career Tips for Senior AI Data Platform Engineer (m/w/d) Roles

To succeed in a competitive market as a Senior AI Data Platform Engineer (m/w/d), you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior AI Data Platform Engineer (m/w/d) requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Berlin and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Berlin, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior AI Data Platform Engineer (m/w/d) position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.