At Hublo, we believe in the power of technology to transform the healthcare sector. We envision a world where healthcare facilities are not just buildings, but thriving environments that inspire and support our healthcare professionals. To achieve this vision, we must first address the pressing need for healthcare facilities to recruit and maintain adequate staffing levels.

This is why Hublo developed a digital platform dedicated to them, now deployed in 4,000+ healthcare facilities and used by 1 million healthcare professionals. At the end of 2021, Hublo raised 22M€ to become the leading HR SaaS solution for healthcare in Europe.

From over +200 team members today, the Hublo team keeps on growing. Want to help us improve the healthcare system? Apply today!

Your role

As a Confirmed Data Engineer, you will drive the design, development, and optimization of scalable data pipelines and architectures that underpin data-driven decision-making at Hublo. Working in our dynamic scale-up environment in France, you will independently translate business needs into robust technical solutions while upholding Hublo’s values of collaboration, excellence, and innovation.

How you'll make an impact:

Data Pipeline Design & Implementation

• Design, develop, and maintain scalable ETL/ELT pipelines to aggregate, process, and transform data from multiple sources.

• Independently refine data models and schema designs to ensure efficient data storage and retrieval.

• Collaborate with Data Analysts, Engineers, and other stakeholders to convert business requirements into resilient technical solutions.

Data Quality, Performance & Reliability

• Implement robust monitoring, logging, and alerting mechanisms to guarantee high pipeline uptime and rapid issue resolution.

• Conduct proactive performance tuning and optimization to reduce data processing latency and improve overall system efficiency.

• Ensure code quality through peer reviews, automated testing, and continuous integration/deployment (CI/CD).

Continuous Improvement & Mentorship

• Champion best practices in data engineering, including writing clear technical documentation and developing guidelines for standardized processes.

• Evaluate and integrate emerging data tools and technologies to continuously enhance our data infrastructure.

• Provide guidance and occasional mentorship to junior team members, fostering an environment of continuous learning and improvement.

• Engage in periodic architecture and process reviews to identify opportunities for system enhancements.

Measure of Success

1. Successfully deliver projects within the defined timelines while maintaining high quality.

2. Frequently owns squad initiatives and ensures they get completed, coordinates efforts, and alerts if any blockers emerge.

3. Recording measurable improvements in data processing speed and efficiency as evidenced by reduced latency and optimized resource utilization.

4. Garnering positive feedback from cross-functional teams on data accessibility, reliability, and overall technical support.

5. Keeping technical documentation and process guidelines updated quarterly, ensuring continuous operational excellence.

Soft Skills

• Excellent collaboration and communication abilities, ensuring a clear interface with cross-functional teams.

• Strong problem-solving skills with the capacity to work independently and make data-driven decisions.

• Adaptability and resilience in a fast-paced scale-up environment.

• Proactive mindset paired with strategic thinking to align technical innovations with business objectives.

• Willingness to mentor and support team growth through constructive feedback and knowledge sharing.

Hard Skills

• Advanced proficiency in SQL and Python, with proven experience in building and optimizing data pipelines.

• Deep understanding of ETL/ELT processes and practical expertise with orchestration tools such as Apache Airflow.

• Solid familiarity with data warehousing concepts and platforms (e.g., Snowflake or similar cloud-based data solutions).

• Hands-on experience with cloud platforms (AWS) and tools that support infrastructure as code (e.g., Terraform) and version control systems.

• Competence in performance analysis and optimization of data systems, using modern monitoring and diagnostic tools.

Technical stack:

• SQL, Python, dbt

• Apache Airflow for orchestration

• Snowflake for data warehousing

• AWS for cloud infrastructure

• Terraform for infrastructure as code

• GitHub for version control and GitHub Actions for CI

The experience we offer

• 🎯 Impact-first mission: our focus on the healthcare sector offers a purpose-driven career.

• 💶 Competitive compensation: a salary package ranging from 55 to 70K€ per year based on your experience.

• 👣 Professional growth: a dynamic, human-scale structure that values initiative and dedication.

• 🌱 Responsible work environment: we are B-Corp certified, acknowledging our commitment to continuously grow and improve as an environmentally and socially responsible company.

• 🗼 Dynamic locations: our vibrant office on Rue de Paradis provides an inspiring setting. You'll also have a unique opportunity to work in our Cologne office in Germany.

• 🏡 Hybrid work policy: flexible work arrangement—up to 10 remote days a month.

• 🤲 Strong onboarding: a comprehensive program, guiding you through your initial weeks at Hublo.

• 💪 Team cohesion: build strong connections with colleagues through regular team events and an annual seminar, ensuring a connected and collaborative work environment.

We also care about your well-being with tangible perks:

• ⛑️ Benefiz healthcare insurance: 70% of it is paid by Hublo

• 🥗 A Swile Card: Providing you with access to €11/day in meal vouchers, 50% covered by the company 🍱

• 🚂 Sustainable Mobility Pass: 520€ annual budget to contribute to your commuting-to-work expenses made using soft mobility (example: Navigo subscription, bike renting/buying or maintenance/repair, etc)

• 🏋️‍♂️ Access to a variety of sports activities through our partner Gymlib🤸🏼🏋🏻

Your recruitment process

• Phone Screen with Etienne (TA)

• Manager Interview with Anto (Head of Data)

• Skill Test with Francesca (Data Engineer) and Mohammed (Tech Lead)

• Cultural Add with Adrien (CPTO & Co-founder) and a team member.
  

Hublo is engaged to create an inclusive environment for all individuals, regardless of ethnicities, gender, sexual orientation, age, ability, or background. During our recruitment process and internally, we enable equal opportunities and celebrate diversity. 

We know that applying for a new job can be both exciting and intimidating, but don’t worry, we’ve got you. Our recruiting team will be on hand every step of the way.