COMPANY DESCRIPTION:

Talonic is a dynamic and innovative AI start-up dedicated to making data and analytics accessible to everyone. We are looking for a passionate and experienced Data Engineer to join our growing team. As Data Engineer, you will play a pivotal role in shaping our data infrastructure and engineering practices. Talonic is backed by the Humboldt University of Berlin, K.I.E.Z., Science & Startups, NVidia Inception, Microsoft and more.
This is a fantastic opportunity for someone who wants to join a small, fast-paced team and strengthen their experience in AI, explore modern data engineering, and shape rapid growth from the very beginning.

JOB DESCRIPTION:

As a Data Engineer at Talonic, you will be hands-on in designing, building, and optimizing data systems that support our AI and analytics products. This role is perfect for someone with a high level of ownership and a desire to make meaningful contributions to a growing company.
At Talonic, we value learning and innovation. You will have all the support and guidance you need but will also be encouraged to experiment, explore, and find solutions that align with our vision.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3-5 years of experience as a Data Engineer or in a similar role, preferably within AI or tech start-ups. We are open to this being your first senior position if you can demonstrate your experience and determination.
• Strong proficiency in Python, with extensive experience working with data manipulation libraries such as Pandas.
• Experience with ML and AI tools and frameworks.
• Proficiency in working with vector databases and retrieval mechanisms, optimizing them for AI applications.
• Great understanding of ETL processes, data pipelines, and data architecture design.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, and their data services.
• Familiarity with Pandas AI is a plus.
• High agency, self-motivation, and a hands-on approach to problem-solving.
• Excellent communication skills and the ability to work in a fast-paced, collaborative environment.
• Fluent in English.

• Design, develop, and maintain robust data pipelines and ETL processes to handle large volumes of structured and unstructured data.
• Collaborate with our Data Scientist, CTO and software engineers to build scalable solutions for ETL, machine learning models and AI functions.
• Optimize and manage data storage solutions, including experience with vector databases and retrieval mechanisms.
• Develop and maintain APIs and integrations for data access and retrieval to support various applications.
• Implement data quality checks, validation, and monitoring to ensure high data integrity and availability.
• Work closely with product development to ensure that data solutions align with overall company goals and strategies.
• Continuously evaluate and integrate new data engineering tools, libraries, and technologies that can enhance our data infrastructure.
• Shape and define data engineering best practices, making a lasting impact on our development processes and culture.
• Ensure robust security measures and data privacy standards are in place and compliant with regulations.