Implicity

Implicity® is a digital MedTech company - founded by cardiac electrophysiologist Arnaud Rosier MD - that provides a universal cardiac remote monitoring and research platform to hospitals and clinics - helping them provide the best remote care to cardiac patients. Implicity develops unique AI and knowledge-based algorithms with the potential to predict patient health status, reducing healthcare professionals' workload. The Implicity platform aggregates, normalizes, and standardizes data from all implantable cardiac electronic devices across all major manufacturers - and improves care for patients with chronic heart failure conditions. Implicity proudly protects over 100,000 patients in more than 250 medical facilities across the United States and Europe. www.implicity.com

implicity.com

Implicity

implicity.com

HQFR

Team Size105

Open Jobs9

Total Funding$31M

Latest FundraiseUnknown

TL;DR

Sector: MedTech — remote cardiac monitoring

Product: AI-powered, manufacturer-agnostic platform for implantable cardiac device data aggregation and triage

Regulatory: FDA-cleared AI algorithms (including a 510(k) in 2024 for a heart-failure prediction algorithm)

Headquarters: Paris, France (with U.S. office in Cambridge, MA)

Scale: Protects >100,000 patients across >250 medical facilities

Reported total funding ~USD 30.7M; Series A announced Apr 27, 2022 (~$23M)

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Company Overview

Problem Domain

Remote cardiac monitoring and management of patients with implantable cardiac electronic devices and chronic heart failure.

Founded

2016

Industry

Hospitals and Health Care

Funding Track Record

Series A- 2022-04-27

23000000

Additional participants reported: BNP Paribas Développement, Serena, XAnge, Karista

Founders

What we do

Join the Team

Data Engineer

Hybrid29 Rue du Louvre, 75002 Paris, France, FR

Hybrid • 29 Rue du Louvre, 75002 Paris, France, FR

About us

💙 Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence.

Thanks to our leading cardiac remote monitoring platform, it’s way easier to manage data and predict patient issues, so that cardiologists can bring the best care at the best time.

To put it simply, when you join Implicity, you’ll contribute to save lives with us 💓🩺

Dr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016.

10+ years later, a French Start-Up / Scale-Up 🐓 is a real game changer in the healthcare market, literally shaping the future of cardiology.
250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients.

👩🏻👨🏿👱🏻 At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together.

This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market.

In a nutshell, thanks to Implicity:

🏆 Patients get a far better care

🏆 Doctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden

🏆 Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)

It can start as soon as you can!

Want more infos?!

Our website: https://www.implicity.com/about-us/
Our team: https://www.welcometothejungle.com/fr/companies/implicity/team-1
Our other opening jobs: https://www.implicity.com/careers/

Job and recruitment context

⭐️ Opening line ⭐️

We are looking for an Data Engineer to join our Data Platform (Ingestion) team.

Your mission is to help streamline data access to promote scalability as we transition from a web-centric to a data-centric design within cloud-based micro-services.

🤝 Reporting Structure

Direct Report: Damien Parent (Lead Data Engineer).
Collaboration: You will be part of the Ingestion section of the Data Platform team, collaborating within a tech team of 8 people.

🧠 Your missions

Build and maintain scalable data ingestion pipelines and ETL/ELT processes (from staging to production).

🧁 Our Technical Environment

The following is our current stack, we don’t expect you to be an expert in every single tool.

Languages: Python, Java, TypeScript
Data Processing: Spark (GLUE), Apache Beam (or Apache Flink)
Storage & Table Format: PostgreSQL, Apache Iceberg, S3
RabbitMQ

🥇 Your Profile and Mindset

Experience Profile:

Seniority & Experience: Intermediate level with 3 to 5 years of hands-on experience in data engineering.
Sector Experience (Bonus): Prior experience in the Tech or SaaS sector is a plus.
Education: Master / Engineer in Computer Science, Engineering, or related field.
Languages: Fluent in English and French.

Hard Skills:

Mindset and Soft Skills:

Pragmatic & Focused: Able to work in fast-paced environments with a focus on delivering value.
Autonomous & Self-driven: Comfortable working independently while contributing effectively to cross-functional teams.
Curious & Adaptable: Eager to learn and develop expertise in emerging data technologies.

A Note on Applying: We know the perfect candidate doesn't exist. If you believe you possess the core required experience and strongly align with this mindset, we highly encourage you to apply.

Recruitment process

📞 1st HR Contact with Astrid (Recruiter) – 45 min (Remote) – Focus on experience and soft skills.
👥 Job Interview with Damien (Lead Data Engineer) – 45 min (Remote) – Focus on technical fundamentals.
🧠 Technical Test / Use Case with Data team members – 1h30 (On-site).
🤖 Fit Interview with the CTO – 1 hour (On-site or remote) – Focus on fit and culture.

🤝 Meet the Team – 30 min (Optional).

📞 Reference Check & Offer (usually follows within 72 hours 🤞).

Depending on your availability, the recruitment process should last less than 3-4 weeks.

General information

💰 Salary

For this job (CDI), you have a base salary depending on your experience between €55k-60k.
Eligible for stock option (BSPCEs) according to the company's existing rules

👍 Benefits

Health care plan: Alan (50% employer)
Luncheon voucher: 9€ (50% employer)
Transport: 50% of your pass OR sustainable mobility pass

📍 Remote work & Location

3 days per week
Location: 29 rue du Louvre, 75002, PARIS

Why us?

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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Contribute to the evolution of our data architecture to improve performance, scalability, and reliability.

Partner with analytics engineers, data scientists, and business teams to understand and implement data requirements.

Support and optimize cloud-based data infrastructure (AWS).

Deploy automated data quality checks and monitoring systems to ensure data reliability.

Develop and keep up-to-date technical documentation for data processes and systems.

Investigate and resolve data-related issues to guarantee data integrity across the stack.

Integration & Messaging:

Infrastructure & DevOps: AWS, Terraform (IaC), Docker, Kubernetes, GitLab CI

Analytics & OLAP System : DBT, Cube, Metabase, Athena

Methodology: Agile (Scrum), Lean management

Core Engineering: Solid SQL & Modeling skills (efficient schemas) and hands-on experience with Python or Java.

Cloud Platform : Experience with AWS, GCP, or Azure is required.

Data Processing: Proven experience building robust ETL/ELT pipelines (GB/TB scale) with batch / streaming frameworks (e.g. Spark, Apache Beam, Flink, Hadoop) with automated quality checks and proactive monitoring.

Orchestration : Experience with Dagster or Airflow (or equivalent).

Experience with Lakehouse or DataWarehouse is a plus (Snowflake, BigQuery, Apache Iceberg / S3).

Engineering Standards: Ability to apply best practices to build maintainable pipelines while balancing technical debt with feature delivery (balancing speed and code quality).

AI usage: We value engineers who use AI-assisted tools (Cursor, Claude, Copilot).

Health & Privacy (Bonus): Interest in healthcare data and familiarity with GDPR/HDS. Previous exposure to FHIR is a plus.

Work that matters: We provide solutions that directly help doctors improve patient care.

High-growth stage: With 100+ people, we are at the perfect size: large enough to have structure, but small enough for your individual impact to be felt every day.

Structure for Autonomy: We encourage proactivity but provide the right support through weekly 1:1s and clear quarterly OKRs to help you move in the right direction.

Innovation Mindset: We are all focused on constantly improving our product and processes. You will use innovative AI-powered tools to stay ahead and work smarter.

Our Values: Our culture is built on Integrity (acting with fairness), Ambition (striving for excellence in healthcare), and Cooperation (supporting each other for collective success).

Balance & Culture: We offer a respectful, remote-friendly environment with regular team events to keep us connected.