Data Analytics Engineer

About us

Implicity is a digital Med Tech, 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 eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)

It can start as soon as you can!

As an Analytics Engineer in the Data Team, you will contribute to the design and evolution of analytical pipelines that powers our business stakeholders insights. Your goal in this job is to consolidate our single source of truth, maintaining analytical models, and a data stack that scales with Implicity's growth across Europe.

Reporting Structure

Direct Report: Damien (Data Engineer Manager)

Collaboration: You will be part of the Analytics section of the Data Platform team, collaborating within a tech team of 8 people.

Experience Profile

• Experience: 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 the healthcare sector and the challenges of medical data normalization (HL7, FHIR).

• Strong ownership mindset and attention to data quality.

• Fluent in English and French.

• Transformation Pipelines (ETL): Develop and maintain scalable data pipelines (
  dbt, Dagster
  ), comprehensive semantic layer and robust transformation pipelines to convert raw data into analytics-ready datasets.

• Semantic Layer: Build and maintain business oriented models using cube.dev ensuring BI-ready datasets to access to critical performance indicators.

• Data Quality & Traceability: Implement automated testing and monitoring to ensure the highest levels of documentation, data quality and availability from S3 to Metabase

• Stakeholder Partnership: Act as a technical partner to Business Unit teams, translating business questions into technical requirements and analytical frameworks.

• Run & Support: Investigate and resolve data quality incidents to ensure the reliability of our analytics platform.

• Future of Analytics at Implicity: Enable self-service analytics and emerging agentic solutions empowering users to independently discover insights and optimize workflows. (
  Metabase
  )

To succeed in your mission, you will be part of a skilled and collaborative team working with modern data technologies. We encourage continuous learning and innovation, with dedicated time for experimentation and skill development.

At Implicity, you will have a weekly meeting with your manager, to help you succeed in your mission, and continuously improve your skills.

Each team works with quarterly OKR, to be crystal clear, fair and honest with your targets.

The annual appraisal is a shared exchange moment, focused on your development.

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

• Lakehouse: AWS S3, Parquet, Apache Iceberg

• Query Engine: AWS Athena

• Transformation & Orchestration: dbt, Dagster

• Governance & Lineage: Data Hub

• Semantic & BI: Cube.dev, Metabase

• Infrastructure: AWS, Kubernetes (EKS),…