Data Engineer II, Operations

About the role

Join our international team to enhance vendor experiences and supply chain processes through advanced data engineering. You will build and maintain critical services that support millions of daily orders across our global platform.

Key facts

What you'll do

• Create features that provide direct value to our platform users.
• Manage pipeline maintenance to ensure consistent product performance.
• Improve system architecture and establish engineering standards like TDD and CI/CD to boost delivery speed and quality.
• Partner with data scientists to refine model lifecycles, monitoring, and alerting systems.
• Build and support CI/CD pipelines specifically for machine learning models.

Requirements

• 4+ years of professional experience in data or software engineering.
• Proficiency in Python programming.
• Experience with Docker, Kubernetes, Postgres, and cloud environments like AWS or GCP.
• Familiarity with orchestration tools such as Airflow, Kubeflow, or MLflow.
• Ability to design and scale cloud-based system architectures.

Nice to have

• Experience with observability and monitoring tools like Datadog, Grafana, or Splunk.
• Knowledge of infrastructure as code and CI/CD practices using tools like Terraform, GitHub Actions, or Drone CI.

Skills & tools

• Python, Docker, Kubernetes, Postgres, AWS, GCP, Airflow, Kubeflow, MLflow.

Practical notes

• Benefits include an employee share purchase plan, 1,000 Euro educational budget, sabbatical bank, corporate pension, life and accident insurance, and various health subsidies.
• We provide digital meal vouchers, language courses, and parental support.
• We prioritize an inclusive hiring process and offer accommodations for applicants; contact inclusion@deliveryhero.com for support.
• Severely disabled applicants with equal qualifications receive preferential consideration.
• Please feel free to share your pronouns during the application process.