Data ops engineer - m h/f

À propos de Doctolib

Nous sommes une entreprise B Corp engagée à construire ensemble la santé dont nous rêvons tous.

Plus de 2 900 Doctolibers en France, en Allemagne, en Italie et aux Pays-Bas contribuent à améliorer le quotidien des équipes soignantes grâce à une nouvelle génération de technologies et de services.

En parallèle, Doctolib aide plus de 80 millions de patients à gérer efficacement leur santé et à accéder rapidement et facilement à des soins optimaux. What you'll do

We are seeking a highly skilled and motivated DataOps Engineer to join our dynamic data team.

As a DataOps Engineer, you will play a crucial role in designing, implementing, and managing our data infrastructure, ensuring seamless data flow across the organization, and enabling data-driven decision-making.

You will collaborate closely with data engineers, data scientists, and other stakeholders to build and maintain robust, scalable, and efficient data pipelines.

Responsibilities :
Data Infrastructure Design and Implementation: Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysisof large-scale datasets. Pushing security and privacy best practices.
Data Pipeline Development and Maintenance: Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse.
Automation and Orchestration: Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency.
Monitoring and Troubleshooting: Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability. Streamline and monitor platform costs, identify optimizations and saving opportunities.
Collaboration: Collaborate with data engineers, data scientists, and other stakeholders to gather requirements, understand data needs, and provide technical expertise.
Who you are

If you don't meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!

- Experience : > 3 years of experience (excluding apprenticeships, internships) as a DataOps Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures.
- Technical Skills: Strong proficiency in data engineering / infrastructure tools antechnologies, such as data warehouse solutions (Redshift, BigQuery), Docker, Airflow.
- Programming Skills: Expertise in programming languages like Python.
- Cloud Infrastructure: Familiarity with cloud infrastructure and services, preferably AWS,Azure, or GCP. Experience with infrastructure-as-code tool such as Terraform. Security best practices on network and IAM.
- Problem-Solving: Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues.
- Communication: Strong communication and collaboration skills to effectively work with cross-functional teams

Bonus Qualifications:
- Experience building API: Understanding API design and best practices with framework such as FastAPI.
- Knowledge of Data Governance and Security: Understanding of data governance principles and best practices for data security.
- CI/CD Experience: Experience with continuous integration and continuous delivery (CI/CD) pipelines for data.

What we offer

- Free health insurance for you and your children
- Parent Care Program: receive one additional month of leave on top of the legal parental leave
- Free mental health and coaching services through our partner Moka.care
- For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
- Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
- Up to 14 days of RTT
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
- Lunch voucher with Swile card

The interview process

- Recruiter Interview
- Case Study Interview
- System Design Interview
- Behavioral Interview
- At least one reference check

If you would like to find out more about tech life at Doctolib, feel free to read our latest!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

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