(Senior) Data Engineer, HelloBetter

• Working experience as Data Engineer
• Hands-on experience with min. 75% of our Tech Stack (see above)
• Strong Python programming skills with focus on maintainable code
• Experience with CI/CD philosophy (e.g. using Bitbucket Pipelines)
• Experience in designing, developing, and maintaining secured data systems
• Familiarity with vector databases (like Pinecone or Weaviate)
• Solid understanding of data modeling and ETL/ELT patterns
• Knowledge of API design and implementation
• Knowledge of basic data security best practices

Desirable

• Reports to: Vincent Bremer (Data Science and Machine Learning Manager)
• As a Data Engineer, you'll collaborate closely with our data analyst, psychological researchers, data scientists, and engineers to bring the potential of precision medicine and statistical learning to life in our digital therapy programs
• Optimize end-to-end data pipeline performance by identifying and resolving bottlenecks in data processing workflows
• Develop and maintain scalable data processing solutions and backends that support both analytics and AI applications
• Integrate data sources using modern ETL/ELT practices and in-house solutions (we already have a variety of data sources connected such as bitbucket, hubspot, zendesk, rapidmail and more) and reverse ETL jobs to given sources
• Clean and transform raw data to hand over to Data Analysts and Scientists, leveraging a well-structured layer architecture in dbt
• Build and maintain robust data quality frameworks and validation processes
• Maintain and troubleshoot our data architecture and infrastructure
• Design, enhance, and maintain data processes and security best practices across all systems to ensure compliance with regulatory requirements
• Support ML & AI Engineers in building efficient data pipelines for model training
• Cooperate and contribute to our AI-driven applications by collaborating with Software/Machine Learning and AI Engineers
• Collaborate closely with the rest of the team to generate new ideas for analytical insights, reports and processes

• People Team Interview (30min)
• Team Lead Interview (45min)
• Take-home Task (~120min)
• Team Round (30min)
• CTO Talk (20min)