As an AI Platform Engineer, you will be the cornerstone of our data infrastructure and analytics capabilities. You'll lead the development and operation of our analytics platform while growing your expertise in broader platform engineering. This role offers a unique opportunity to start with data engineering expertise and expand into full-stack platform engineering.

Your main responsibilities will be:

Data & Analytics Engineering (Primary Focus):

• Build, maintain, and optimize data pipelines using dbt, SQL, and modern data stack tools;

• Develop robust data models and transformations for analytics, reporting, and machine learning workflows;

• Implement comprehensive data quality frameworks and monitoring using tools like Great Expectations;

• Collaborate with data scientists, analysts, and stakeholders to translate business requirements into scalable data solutions;

• Lead the operation and enhancement of our internal analytics platform for data-driven decision-making;

• Design and implement data validation, testing, and documentation standards;

Platform Engineering Growth Path:

• Learn and contribute to Infrastructure as Code (IaC) solutions for automating infrastructure provisioning;

• Gradually take ownership of data infrastructure optimization and scaling;

• Support the enhancement of orchestration tools such as Flyte and Airflow within our data ecosystem;

• Develop internal development tools to support data and engineering teams;

• Participate in open-source projects, contributing to the broader data engineering community;

• Collaborate with client teams, including CV, NLP, and Fullstack, to deliver data-driven solutions;

The ideal candidate is passionate about data engineering and analytics, with curiosity about broader infrastructure challenges. You love working with data, building reliable pipelines, and want to expand your skill set into platform engineering. We are looking for driven, capable, and prudent talents with proven track records of personal, academic, and professional achievement. Our hierarchy is flat and communication is direct, which means that we operate and learn fast, as a team.

You are a great fit for our team if you bring these qualifications:

• Education: MSc in Computer Science, Software Engineering, or a related technical field, or equivalent working experience.

• Strong proficiency in SQL and experience with dbtHands-on experience building and maintaining data pipelines and ETL/ELT processes

• Proficiency in Python for data processing and automation

• Experience with cloud data platforms (preferably GCP BigQuery, but AWS/Azure experience transferable)

• Familiarity with data orchestration tools (Airflow, Prefect, or similar)

• Understanding of data modeling, warehousing concepts, and analytics engineering best practices

• Some exposure to containerization technologies (Docker) and infrastructure tools

• Understanding of CI/CD processes and version control

• Experience with monitoring and observability tools

• Interest in learning Infrastructure as Code tools like Terraform

• Excellent communication skills for interacting with team members and clients.

• Initiative and self-motivation to drive projects forward.

• Enthusiasm for solving problems and contributing to the groundwork.

• Empathy and openness to new ideas and perspectives.

• Fluency in English

• Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.

• International Team: We are a dynamic and international team. 

• We offer Visa Sponsorship.

• Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation.

• Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours.

• AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team.

• Sabbatical Leave.

• Brand new office space: Bright and open office situated on the AI Campus in Berlin.

• Hardware allowance:  We give you support to have all the equipment you would need to thrive on your job.

• Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club) or groceries (Edenred).