Data Engineer

Darktrace
The Hague
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving","Analytical thinking","Teamwork"]

Design and build cloud-native data infrastructure to power AI/ML models in Darktrace products. Responsibilities include developing scalable data pipelines, enabling reliable data flows from source to production, and collaborating with data scientists, MLOps, and software engineers to support model-driven features in a hybrid in-office role in The Hague.

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FursaFursa
Darktrace
Darktrace
3 months ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 27 days agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Design and build cloud-native data infrastructure to power AI/ML models in Darktrace products. Responsibilities include developing scalable data pipelines, enabling reliable data flows from source to production, and collaborating with data scientists, MLOps, and software engineers to support model-driven features in a hybrid in-office role in The Hague.
Location: The Hague
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, implement, and maintain data pipelines that power AI/ML models within Darktrace products.
  • •Build and maintain cloud-native data platforms integrating data from various sources.
  • •Design scalable data systems to handle growing data volumes and evolving ML workloads.
  • •Optimize data pipelines for reliability, scalability, and cost efficiency; assist in CI/CD for data/ML workloads.
  • •Collaborate with Data Scientists, MLOps, Software Engineers, and Product Owners to deliver data solutions and share knowledge.

Pay and Benefits

Perks:PensionLife InsuranceEmployee AssistanceBicycle LeasingCommuting Allowance

Key Requirements

  • •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
  • •Exposure to big data frameworks (Spark, Beam), infrastructure-as-code tools (Terraform), and MLOps practices is a plus.
  • •Proficiency in Python and fluent English communication
Experience:CloudData engineeringAI/MLBig data
Skills:CommunicationCollaborationProblem-solvingAnalytical thinkingTeamwork
Languages:English
Tech Stack:PythonAirflowSQLNoSQLKafkaDockerKubernetesGoogle CloudSparkBeamTerraform

Company Brief

Darktrace
Develops AI-driven cybersecurity solutions that detect, respond to, and neutralize cyber threats across cloud, email, network, and endpoint environments using machine learning and anomaly detection to protect enterprises globally.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cambridge, United Kingdom
Founded: 2013
WebsiteLinkedIn