Location: Berlin
🚀 At A5 Labs, we are pioneers in creating exceptional AI-driven solutions that redefine industry standards. Our innovative approaches empower users and businesses worldwide. We are now seeking a Senior Data Engineer to design and implement cutting-edge data solutions, enabling scalable data pipelines and serving APIs for AI and machine learning models. This role demands a strong foundation in data engineering, distributed systems, and API development. If you’re ready to transform data into actionable insights and power AI-driven services, we’d love to hear from you!
📎 The Role
We’re looking for a Senior Data Engineer to join our team. You will design, build, and optimize scalable data pipelines, distributed systems, and APIs to serve both data products and AI/ML model services. This role requires a mix of technical expertise, innovative thinking, and a passion for building robust, efficient systems.
✅ Your Objectives
Data Stream Processing: Build and maintain scalable event-driven data pipelines to process, transform and serve real-time events and batch of data.
Database Expertise: Leverage your knowledge of both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases for storage and retrieval of structured and unstructured data.
Programming Excellence: Build robust, reusable, and efficient solutions using Python, or Java or other relevant technologies.
Monitoring and Observability: Set up and utilize tools like Grafana and Prometheus to monitor performance and ensure system health.
Mentorship: Share knowledge and best practices with the team to improve the overall data engineering capabilities.
👀 What You Bring to the Table
Data streaming: Expertise in implementing streaming and event-driven systems using Apache Kafka, Apache Flink or alternatives.
Programming Skills: Advanced proficiency in Python and familiarity with libraries/frameworks for data engineering and machine learning workflows.
Cloud Platforms: Deep experience with at least one cloud service provider, like AWS.
Monitoring Tools: Hands-on experience with Grafana, Prometheus, and other observability tools.
Database Skills: Strong understanding of database design, query optimization, and schema evolution in production.
Distributed Systems: Solid knowledge of distributed system principles and fault-tolerant architectures.
🥇 Preferred Qualifications
AI/ML Focus: Experience integrating AI and machine learning models into production environments.
Adaptability: Comfortable working in dynamic, fast-paced startup environments.
Collaboration: Strong interpersonal skills for working with cross-functional teams.
Leadership: Proven ability to mentor and lead team members toward technical excellence.
Security: Strong understanding of secure coding practices and data protection.
Business Focus: A clear understanding of how technical solutions align with business goals and impact outcomes.