Senior Analytics Engineer - Netherlands
Rotterdam, Zuid-Holland, Netherlands
Eye Security
Eliminate cyber threats with a 24/7 SOC to mitigate every breach and connected cyber insurance to eliminate the remaining risk.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 Senior Analytics Engineer, you will play a crucial role in driving our data-driven initiatives. You will be responsible for doing requirement gathering for, designing, building, and maintining data marts, dashboards, and reports. You will be a part of our data platform team together with our data engineers and you will also collaborate with business users to ensure that what we produce meets their expectations and needs. Your expertise will be instrumental in unlocking the value of our data and enabling informed decision-making across the organization.
In this role
- Gather requirements for, design, build, and maintain data marts, dashboards, and reports.
- Collaborate with business users to understand business requirements and translate them into beautiful dashboards and reports.
- Collaborate with data engineers to set requirements on the data needed for the platform to fill business needs.
- Ensure data quality and integrity throughout the data lifecycle.
- Stay up to date with the latest trends and technologies in analytics engineering.
Requirements
What you will need
- Minimum 4 years of experience as an analytics engineer or a related field.
- Strong proficiency in SQL and dbt
- Strong procifiency in at least one with data visualization tool (e.g., Metabase , Tableau, Power BI).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and Git.
- Understanding of data warehousing and data modeling concepts.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- High level of personal owenership.
- Passion for data and a drive to deliver value through data-driven insights.
- Bachelor’s degree in computer science, statistics, or a related field.
- Knowledge of at least one programming langauge (e.g., Python, R).
- Experience with data pipelines and ETL tools (e.g., Apache Airflow, Mage, Dagster).
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Computer Science Dagster Data pipelines Data quality Data visualization Data Warehousing dbt Engineering ETL GCP Git Metabase Pipelines Power BI Python R Security SQL Statistics Tableau
Perks/benefits: Competitive pay Startup environment
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