Job Description
Title: Senior Data Engineer, Germany
Location: Germany
Description
As a Senior Data Engineer at Cobalt, your role is uniquely designed to intertwine the realms of Data Infrastructure and AI-driven innovation. You will engage in shaping our sophisticated data infrastructure, mastering tools like Google BigQuery, Looker Studio, and DBT, while concurrently spearheading our efforts in generative AI. Your expertise will be crucial in utilizing data to revolutionize cybersecurity solutions. Approximately half of your time will be dedicated to developing and enhancing our data infrastructure, ensuring it’s both robust and adaptable. The remainder will focus on the integration and advancement of AI and ML applications, significantly influencing the efficiency and effectiveness of our cybersecurity services. This role is an ideal match for those who are equally passionate about the foundational aspects of data engineering and the pioneering frontiers of AI. It offers an extraordinary opportunity to be at the vanguard of transforming the cybersecurity landscape, paving the way for a more secure digital future.
What You’ll Do
Data Engineering Excellence: Design, build, and maintain scalable and robust data pipelines in BigQuery, ensuring data integrity and efficiency. Empower finance, marketing and product with data as well as providing business with valuable data insights.
AI and ML Implementation: Collaborate closely with Software Engineers to integrate Generative AI and Large Language Models into our data systems, focusing on automation and advanced analytics. Manage our data lake and warehouse to also support AI and ML initiatives.
Infrastructure Management: Utilize Terraform for infrastructure as code and develop Python applications for data importation, event-triggering processes, MLOps and more.
Cross-Functional Collaboration: Work with various teams to understand data requirements and deliver insights and solutions that drive decision-making and product innovation.
You Have
Proven Expertise: Minimum of 5 years experience in data engineering with a strong background in Google BigQuery, Looker Studio, and DBT.
Technical Proficiency: Expertise in Terraform, Python, and SQL for data transformation and infrastructure management.
Communication Skills: Excellent verbal and written communication skills in English, enabling effective collaboration in a remote setting.
Learning Agility: Eagerness to learn new technologies and approaches, with a proactive mindset and willingness to contribute ideas.
AI and ML Knowledge: Understanding of Machine Learning and Generative AI.
Bonus If You Have
Advanced AI/ML Experience: Deep involvement in AI-driven projects, particularly in generative AI and MLOps. Familiarity with LangChain or similar frameworks is a plus.
Community Engagement: Involvement in the data science community, through contributions to open-source projects, publications, or speaking at conferences.
Additional Technical Skills: Knowledge of additional programming languages or data tools beyond the primary tech stack is a plus.