Data Analytics Engineer

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 is easier to manage data and predict patient issues, so cardiologists can bring the best care at the best time. When you join Implicity, you will contribute to saving lives.

Dr Arnaud Rosier (cardiologist and AI researcher) and David Perlmutter (engineer and entrepreneur) co‑founded Implicity in 2016. Ten years later, a French start‑up and scale‑up has become a game changer in the healthcare market, shaping the future of cardiology. Over 250 hospitals and medical centres already use our solutions, covering more than 100 000 patients.

At Implicity you will work with top experts in data science, engineering, clinical, regulatory, IT, sales and customer success.

In a nutshell, thanks to Implicity

• Patients receive far better care.
• Doctors’ workload is easier, allowing more focus on prevention and treatment.
• Healthcare payers pay lower costs by preventing hospitalization.

Job and recruitment context

As an Analytics Engineer in the Data Team, you will contribute to designing and evolving analytical pipelines that power insights for business stakeholders. Your goal is to consolidate our single source of truth, maintain analytical models, and scale the data stack across Europe.

• Direct report: Damien (Data Engineer Manager)
• Collaboration: part of the Analytics section of the Data Platform team within a tech group of eight people.

Your profile and mindset

• 3+ years as an Analytics Engineer or similar data & analytics role
• Familiarity with modern data stack: data modeling, ETL/ELT, and orchestration tools
• Strong interest in healthcare sector and medical data normalization (HL7, FHIR)
• Ownership mindset and attention to data quality
• Fluent in English and French

Your missions

• Develop and maintain scalable data pipelines with dbt and Dagster
• Build and maintain business‑oriented models using cube.dev for BI‑ready datasets
• Implement automated testing and monitoring to ensure high data quality and availability from S3 to Metabase
• Act as technical partner to Business Unit teams, translating business questions into technical requirements
• Investigate and resolve data quality incidents, ensuring reliability of the analytics platform

Future of analytics at Implicity

Enable self‑service analytics and emerging agentic solutions empowering users to discover insights independently and optimise workflows.

Analytics technical stack

• Lakehouse: AWS S3, Parquet, Apache Iceberg
• Query engine: AWS Athena
• Transformation & orchestration: dbt, Dagster
• Governance & lineage: DataHub
• Semantic layer & BI: Cube.dev, Metabase
• Infrastructure: AWS, Kubernetes (EKS), Terraform, Docker, GitLab CI/CD

Hard skills and soft skills

• SQL mastery: Proficiency in writing complex queries, window functions, indexing strategies
• Modern data stack: Python orchestrators such as Airflow or Dagster
• Governance advocate: Commitment to data governance, lineage and documentation
• BI expertise: Data visualization with Metabase, Superset or Tableau
• Engineering mindset: Version control, CI/CD, documentation, best practices
• Professional skills: Collaboration, teamwork, self‑drive, curiosity, problem‑solving, quality focus, AI‑assisted tools

A note on applying

We know the perfect candidate does not exist. If you possess the core experience and share our mindset, we encourage you to apply.

Recruitment process

• HR contact with Astrid (Talent Acquisition Manager) – 45min
• Job/Manager interview with Damien (Data Engineer Manager) – 45min
• Technical interview with Louise & Stefan – 90min
• Fit interview with Louay (CTO) – 1hour
• Reference check & offer – typically within 72hours

General information

Salary: Base salary €52k–57k, plus stock option (BSPCEs) according to company rules.

• Health care plan: Alan (50% employer)
• Luncheon voucher: €9 (50% employer)
• Transport: 50% of pass or sustainable mobility pass
• Remote work: 3 days per week (progressively)
• Location: 29 rue du Louvre, 75002, Paris