## Data Engineer at Darktrace
Darktrace is seeking a Data Engineer to join the R&D team in The Hague. You will help design and develop cloud-native data infrastructure that powers AI/ML models within Darktrace products, building scalable systems to collect, store, and process data handling datasets with billions of rows.
### Key Responsibilities:
- Design, implement, and maintain data pipelines that power AI/ML models
- Build and maintain cloud-native data platforms integrating data from various internal and external sources
- Design systems with scalability in mind to support growing data volumes and evolving ML workloads
- Optimize data pipelines for reliability, scalability, and cost efficiency
- Set up and maintain CI/CD pipelines for data and ML workloads
- Collaborate with Data Scientists, MLOps Engineers, Software Engineers, and Product Owners
- Participate in knowledge sharing and contribute to continuous improvement
### Required Experience:
- Strong foundation in data engineering and cloud technologies
- Fluency in English and proficiency in Python
- Hands-on experience with data pipelines (ETL/ELT) and workflow orchestration tools such as Apache Airflow
- Solid knowledge of SQL/NoSQL databases, data modeling, and schema design
- Familiarity with streaming technologies (e.g., Kafka), containerization (Docker, Kubernetes), and at least one major cloud platform (preferably Google Cloud)
- Strong analytical and critical thinking skills, effective project management, and clear communication
- Results-oriented, collaborative, and adaptable with proactive approach to knowledge sharing
### Nice to Have:
- Exposure to big data frameworks (Spark, Beam), infrastructure-as-code tools (Terraform), and MLOps practices
### Benefits:
- 25 days' holiday + all public holidays
- Additional day off for your birthday
- Commuting allowance
- Pension Scheme
- Life & Disability insurance
- Employee Assistance Program
- Bicycle Leasing Scheme
Minimum 2 days a week in office required.