Data Engineer (f/m/d)
KptnCook
Ahoy Kptn!
WHY US?
- Flat hierarchies and transparent communication
- A young and highly motivated team
- Regular team events
- Strong sense of community amongst the team
- A beautiful office in Berlin, Neukölln
- Flexible working hours, including working from home
- IT equipment for hybrid work
- Regular check-ins and feedback
- Bring your ideas to the table and take over responsibilities from day 1
- An annual budget for further training in a field that suits you and your role
- After-Work-BBQs and cooking sessions in our lovely courtyard
- Delicious KptnCook meals from our studio test kitchen
- Annual BVG Ticket
- Access to Premium subscription to KptnCook
YOUR RESPONSIBILITIES
- Develop, optimize, and maintain data pipelines to efficiently collect, process, and store diverse data types, including user interactions, order histories, menu data, and location-based information
- Collaborate with data scientists and AI engineers to integrate machine learning models and algorithms into the app to enable personalized recommendations, predictive analytics, and intelligent insights
- Craft and manage data architectures that can scale to accommodate massive data volumes while ensuring data quality, integrity, and accessibility
- Lead the deployment and scaling of AI models, ensuring they operate effectively in a production environment, and contributing to the app's performance and value
- Establish robust data quality standards, implement validation processes, and create alerting mechanisms to guarantee data accuracy and consistency
- Enhance data pipelines and databases for optimal performance, scalability, and cost-efficiency, ensuring a seamless user experience while reducing operational expenses
- Implement stringent security measures and compliance protocols to protect sensitive user data and adhere to data protection regulations and standards
- Collaborate with data analysts and data scientists to provide structured datasets for model training and reporting, fostering a data-driven culture within the organization
WHAT YOU SHOULD BRING ON BOARD
- Bachelor's or advanced degree in computer science, data engineering, or a related field
- Proven experience in data engineering, ETL processes, and data pipeline development
- Proficiency in programming languages (e.g., Python, Scala and tools commonly used in data engineering and AI (e.g., TensorFlow, PyTorch)
- Familiarity with data storage solutions (SQL and NoSQL databases, data lakes) and cloud platforms (e.g., AWS, Azure, Google Cloud)
- A deep understanding of AI and machine learning concepts, including model training, deployment, and evaluation
- Prior experience in mobile app development and app analytics tools is a significant advantage
- Exceptional problem-solving skills, meticulous attention to detail, and an analytical mindset
- Strong communication and collaboration skills, enabling you to work effectively with cross-functional teams