Head of Data Engineering - Remote from Berlin or Netherlands

at  Eye Security

WHAT YOU WILL NEED

• Bachelor’s degree in computer science, Data Engineering, or a related field.
• 10+ years of experience in data engineering or a related field.
• Strong proficiency in SQL and at least one programming language (e.g., Python, Golang).
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of data warehousing and data modeling concepts.
• Experience with data pipelines and ETL tools.
• Familiarity with ML and AI frameworks (e.g., TensorFlow, PyTorch).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills, fluency in English is a must.
• Passion for data and a drive to deliver value through data-driven insights.
• Experience with working in a start-up/scale-up environment.

YOUR ROLE AT EYE

Eye Security is an international scale up providing cyber security with embedded cyber insurance to SMBs in Europe. Our cyber security innovations, state-of-the-art automation and platforms are being built and maintained by our Product & Engineering Teams. Our engineers and product managers collaborate closely with cyber security experts to ensure that their hacker’s mindset is embedded into our platform. Our platform is a proprietary Open XDR (eXtended Detection Response) system that brings in security data from several market leading cyber security products into our centralized repository. From here cyber security experts can work their magic. This makes sure that our hundreds of customers experience the same value via automated systems, allowing us to scale in Europe.
As a Staff Data Engineer, you will play a pivotal role in driving our data-driven initiatives. You will be responsible for designing, building, and maintaining scalable and efficient data pipelines, as well as developing advanced BI solutions, ML and AI projects, and contributing to our Security Risk Intelligence system. Your expertise will be instrumental in unlocking the value of our data, enabling informed decision-making across the organization, and adding value to data products for our customers.

IN THIS ROLE

• Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load data from various sources into our data warehouse.
• Build and maintain advanced BI solutions to provide actionable insights to stakeholders across the organization.
• Develop and implement ML and AI models to automate tasks, improve accuracy, and drive innovation.
• Contribute to the development and maintenance of our Security Risk Intelligence system.
• Collaborate with data scientists, analysts, and engineers to understand business requirements and translate them into technical solutions.
• Ensure data quality and integrity throughout the data lifecycle.
• Stay up to date with the latest trends and technologies in data engineering.