With a team of over 90 people from over 28 different nationalities, Humanoo is building a one-of-a-kind holistic platform that makes people healthier. We are ambitious and goal-oriented and enjoy working by creating a positive atmosphere.
Position: Senior Data & AI Platform Engineer (f/m/d)
Location: Berlin, Germany (Hybrid – 2 days per week)
Start date: ASAP
Your mission in a nutshell: As a Senior Data & AI Platform Engineer at Humanoo, you will play a key role in designing, building, and maintaining the data and AI infrastructure that powers our digital health platform. Your work will ensure that our teams have reliable, high-quality, and timely data to drive insights, improve user experiences, and help millions of people live healthier lives. You will collaborate closely with Data, Product, and Engineering teams to develop robust data pipelines, optimise storage solutions, and support both batch and real-time data processing.
Manage and optimise our data stack Snowflake/Airflow for high-performance analytics and AI workloads.
Leverage AWS cloud services (e.g., S3, SageMaker, ECS, EMR, Glue) to build scalable and cost-efficient data & AI platforms.
Collaborate with AI Engineers, Product Engineers, DevOps Engineers, and Analysts to provision and optimise data environments for AI model training, deployment, and monitoring.
Ensure security, privacy, compliance, and scalability are embedded in all platform and pipeline designs.
Implement infrastructure as code (e.g., Terraform, CloudFormation) to manage platform resources.
Ensure data quality, coherence, and reliability across internal tools and user-facing products.
Monitor, troubleshoot, and optimise data and AI workflows for performance and reliability.
Stay up to date with emerging tools and practices in data engineering, ML/AI Ops, and cloud architecture.
Bring your own ideas — we value curiosity, ownership, and continuous improvement.
3–5 years of professional experience as a Data Platform Engineer, MLOps Engineer, or similar.
Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
Strong hands-on experience with Snowflake (or similar: BigQuery, Redshift, etc.) including query optimization and warehouse tuning.
Comfortable working with streaming frameworks (e.g., Kafka, Kinesis).
Exposure to containerization and orchestration (Docker, Kubernetes).
Skilled at crafting and optimising SQL queries, and implementing data schema and governance practices.
Experience with monitoring tools and ensuring data observability and reliability.
Solid AWS expertise across data, compute, and storage services.
Strong understanding of data governance, security, privacy, and compliance in the cloud.
Demonstrated experience with MLOps platforms (e.g., SageMaker, MLflow, Kubeflow).
Bonus: experience with Airflow, data modelling, AIOps tooling and practices.
Upon the receipt of your application, our Talent Acquisition team will thoroughly evaluate your submission. We endeavour to respond within 3-5 business days. If your application progresses positively, you will be invited to participate in our comprehensive selection process, which includes the following stages:
Your first step: A call with a member of our Talent Acquisition team
Your second step: A call with focus on hard skills and communication with the Head of Data
Your third step: A focus on your tech skills with a take home Case Study
Your fourth step: A call to present your Case Study to a representative from the Engineering team and Product team
Your final step: A value-add call with our Chief Product and Growth Officer
After these interview stages are completed, our hiring team will convene for a debrief session to discuss your application. Following this debrief, our Talent Acquisition Partner will contact you to provide feedback and communicate the final decision regarding your candidacy. We value your interest in our organisation and appreciate your participation in our selection process.
A sneak peek into your benefits:
Additional health insurance coverage for 900 EUR per year
30 days of remote work allowance
Up to 33 days annual vacation allowance (28 base days, + yearly tenure bonus up to 3 days, + 2 days for using the Humanoo app!)
Subsidy for your UrbanSportsClub membership
70 EUR monthly cashback to cover daily expenses
500 EUR yearly personal learning and development budget
Self-development days allowance (workshops, conferences, training sessions etc.)
Team events and company events
Referral bonus for employees
Corporate benefits
Humanoo for Humanoos!
Employee Assistance Programme (EAP) for mental well-being
Please note: our offices close over the Christmas and New Year period for approximately two weeks. We gift the 24th and 31st December as extra vacation days and any additional non-public holiday days during this time will be taken from your annual leave.
What we stand for:
Customer First: We create meaningful, human connections to improve outcomes for our customers and our communities, powered by our world-leading technology, collective ingenuity and culture of caring.
Embrace Change: We challenge the status quo, experimenting and taking calculated risks to differentiate ourselves from our peers and deliver consistently leading results.
Grow Together: We welcome everyone to bring their whole self to work, appreciating our uniqueness and always standing together as one team.
HUMANOO is an automated Digital Corporate Wellness Solution for corporations and insurance worldwide that helps people lead healthier lives.
Humanoo helps users improve physical and mental health by offering customised, on-demand programmes for fitness, yoga, mindfulness, sleep, and nutrition.
Humanoo's pioneering vision allows users to be rewarded for health activity through monetary and non-monetary rewards, leading to sustained engagement and study-based health improvement.
More than 1500 companies in over 10 countries are already successfully using Humanoo to make their employees and clients healthier and more productive. TK, Coca-Cola, Axel Springer, Korian, Nürnberger Versicherung, and CSS are only some companies using Humanoo.
For more information: https://www.humanoo.com/