Senior Data & AI Platform Engineer (f/m/d)

HUMANOO; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A health tech company in Berlin is seeking a Senior Data & AI Platform Engineer to develop and maintain its data infrastructure. Applicants should have 3-5 years of related experience, proficiency in SQL, and strong AWS expertise. This role offers hybrid working conditions and opportunities for personal growth.

Leistungen

Additional health insurance coverage

30 days remote work allowance

Up to 33 days annual vacation

Subsidy for UrbanSportsClub membership

Monthly cashback for daily expenses

Yearly personal learning budget

Team and company events

Referral bonus for employees

Employee Assistance Programme

Qualifikationen

• 3–5 years of experience as a Data Platform Engineer or similar role.
• Hands-on experience with Snowflake and query optimization.
• Strong understanding of data governance and security best practices.

Aufgaben

• Design and optimize data stack for analytics and AI workloads.
• Collaborate with engineers to provision data environments.
• Ensure compliance and security in platform designs.

Kenntnisse

Proficiency in SQL

Python programming

Java programming

Scala programming

Snowflake expertise

Kafka streaming

Docker knowledge

Kubernetes experience

AWS cloud expertise

Data governance understanding

Tools

Snowflake

AWS S3

Glue

Airflow

Terraform

SageMaker

Jobbeschreibung

HELLO THERE! PEOPLE AT HUMANOO ARE HAPPY TO GREET YOU!

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.

WHAT YOU SHOULD BRING TO THE TABLE:

• 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.

INTERVIEW PROCESS

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.

HOW YOU WILL SPEND YOUR TIME:

• 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.

WHAT WE OFFER

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.