Staff DataOps Engineer (x/f/m)

Stack

Responsibilities

• ▹Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organisation
• ▹Build and optimise complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• ▹Lead cost-analysis initiatives, identify optimisation opportunities across the data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• ▹Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security and governance
• ▹Evaluate emerging technologies, conduct proofs-of-concept for new data tools and platforms, and lead the technical roadmap for data-infrastructure modernisation

Requirements

• ▹7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer or similar, with a history of architecting and scaling robust data platforms
• ▹Extensive experience with Google Cloud Platform and command of Kubernetes & Terraform for automated deployments, and authority on network and IAM security best practices
• ▹Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
• ▹Highly skilled in programming with Python, with a solid understanding of software-development principles
• ▹Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator with both technical and non-technical audiences

Nice to have

• ▹Hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, designing APIs that provide reliable and efficient access to data
• ▹Applied data-governance principles to manage data quality, security and compliance, implementing controls that protect sensitive information
• ▹Experience with CI/CD tools and methodologies for data-related projects, building automated pipelines that streamline development, testing and deployment
• ▹Practical experience with cloud cost optimisation and FinOps principles, analysing infrastructure spending and optimising resource allocation

Soft skills

What we offer

• ▹Free comprehensive health insurance for you and your children
• ▹25 days of paid vacation per year, plus up to 14 days of RTT
• ▹Free mental-health and coaching services through the partner Moka.care
• ▹Work from abroad for up to 10 days per year
• ▹Lunch vouchers (Swile card) worth EUR 8.50 per working day, with EUR 4.50 covered by Doctolib
• ▹Work-council subsidy to refund part of a sport-club membership or creative class
• ▹50% reimbursement of your public-transport subscription
• ▹Parent Care Program: one additional month of leave on top of the legal parental leave
• ▹For caregivers and workers with disabilities: adapted remote policy, extra days off for medical reasons and psychological support
• ▹Relocation support in case of international mobility
• ▹Access to the best AI tools for coding, development and dedicated training

About the company

Doctolib builds a fully cloud-native platform serving web and mobile interfaces across multiple languages and healthcare specialties. Its stack includes Rails, TypeScript, Java, Python, Kotlin, Swift and React Native, with a data stack of Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery and dbt, and it applies AI ethically across its products.