What we do :

Join a team of passionate and hardworking entrepreneurs to transform healthcare! 

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product OR engineering, design, and business teams.

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 analysis of 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 : > 2 years of experience 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 an technologies, 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. 

Why joining us : 

• Impactful Work: Make a direct impact on our business by building and optimizing critical data infrastructure.
• Collaborative Environment: Work in a collaborative and supportive environment with talented data professionals.
• Growth Opportunities: Opportunities for professional development and career advancement within a growing data team.

In general : 

• Free Health Insurance for you & your family
• Up to 14 days of RTT
• Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
• Wellbeing program (free mental health and coaching offer with our partner moka.care)
• A flexible workplace policy offering both hybrid and office
  -based mode
• Flexibility days allowing to work in EU countries and the UK 10 days per year 
• Lunch voucher with Swile card
• Work Council subsidy to refund part of sport club membership or creative class
• Bicycle subsidy 

The interview process :

• Recruiter Interview
• Case study 
• System Design Interview
• Fit interview with the team 
• Reference check / Criminal check record 
• Offer!

Job details

• Permanent position
• Full Time 
• Levallois Perret
• Start date : ASAP 
• Remuneration : fix + bonus on objectives (according to your profile)

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

At Doctolib, we believe in improving access to healthcare for everyone
- regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

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, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.