Staff Data Engineer - Remote from Berlin or Netherlands

Remote job

Eye Security

Eye Security delivers high-quality cyber solutions to European companies. Our mission is to make security accessible and affordable for every company.

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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.


Requirements

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.


What we offer

  • Make an immediate impact on a growing company with a clear vision for the future.
  • Work in a talented team of engineers who are passionate about building secure and scalable solutions.
  • Be at the forefront of innovation, shaping the future of our technology infrastructure.
  • Enjoy a competitive compensation package and comprehensive benefits.
  • Join a young and thriving start-up/scale-up which is on its way to becoming the category leader in Europe.
  • We are a great place to work, filled with people who enjoy working together.

We are a rapidly growing company and believe in investing in our people. If you're a highly motivated and results-oriented engineer with a passion for building secure, scalable technologies, we encourage you to apply!


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Tags: AWS Azure Computer Science Data pipelines Data quality Data warehouse Data Warehousing Engineering ETL GCP Golang Machine Learning Pipelines Python PyTorch Security SQL TensorFlow

Perks/benefits: Competitive pay Startup environment

Regions: Remote/Anywhere North America
Country: United States

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