Data Analytics Engineer, Implicity

€55-60k

SQL
AWS
GCP
Python
Tableau
Looker
Postgres
Airflow
Athena
NumPy
Pandas
Scikit-Learn
Metabase
Slack
Notion
dbt
Mid and Senior level
Paris

2+ days a week in office

Implicity

Universal remote monitoring platform for cardiac patients

Be an early applicant

Implicity

Universal remote monitoring platform for cardiac patients

21-100 employees

HealthcareB2BArtificial IntelligenceDeep TechSaaSMedTech

Be an early applicant

€55-60k

SQL
AWS
GCP
Python
Tableau
Looker
Postgres
Airflow
Athena
NumPy
Pandas
Scikit-Learn
Metabase
Slack
Notion
dbt
Mid and Senior level
Paris

2+ days a week in office

21-100 employees

HealthcareB2BArtificial IntelligenceDeep TechSaaSMedTech

Company mission

To improve clinic operations and the standard of care by harnessing the full power of data.

Role

Who you are

  • A Master’s degree in Engineering, Data Science, or a related field
  • Experience working with relational and analytics databases (PostgreSQL, Athena, Apache Iceberg)
  • Strong SQL skills (complex queries, optimizations, indexing strategies)
  • Proficiency in Python (including pandas, NumPy, and scikit-learn)
  • Hands-on experience with ELT pipelines and DBT
  • Understanding and being an expert of our *data modeling and analytics concepts
  • Experience working with AWS or GCP data services
  • Experience with Metabase, Tableau, Looker, or Superset for reporting and dashboarding
  • In addition, the following skills will help you thrive in this role:
  • Excellent communication and collaboration skills—you're a team player who can explain data concepts to stakeholders
  • Strong problem-solving mindset and the ability to work autonomously
  • A proactive and structured approach to data engineering and analytics
  • Willingness to continuously learn and adapt to new tools and best practices

Desirable

  • Experience with *CI/CD and data lifecycle management
  • Familiarity with *Apache Airflow or other workflow orchestration tools
  • Good knowledge of FHIR or HL7 data models
  • A passion for building a scalable and impactful data infrastructure

What the job involves

  • Joining the Data Platform Team, reporting to the Lead Data Engineer, your mission is to participate in facilitating access to data in order to promote scalability
  • You will take part in the transition from a web centric to data centric design combining Apache Beam, Iceberg, Kafka with microservices on the cloud
  • Design pipelines and know how to maintain and optimize them
  • Have a good knowledge of AWS or GCP and its services
  • Provide technical knowledge and have the will to build skills on data processing and lakehouse, our future backbone technology
  • Provide expertise in data modeling to help build the company datamarts
  • To succeed in your mission, you will be part of a skilled and collaborative team working with modern data technologies
  • At our company, you will have weekly meetings with your manager to support your growth, quarterly OKRs to provide clarity on objectives, and an annual appraisal focused on your career development

Application process

  • 1° Interview with Damien, our Data Engineer Manager ~ 60 min
  • 2° Technical interview with Data Platform team members ~ 60 min
  • 3° Interview with Max, our Technical Product Manager ~ 30 min
  • 4° Final interview with our HRBP and our CTO
  • => Depending on your availability, the recruitment process should last less than 3 weeks
  • Offer usually follows within 72 hours 🤞

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Insights

Top investors

15% employee growth in 12 months

Company

Company benefits

  • 25% variable, based on annual objectives (uncapped)
  • Eligible for the BSCPE award
  • Mutuelle: Alan (€26.5 / month + €14 for children)
  • Restaurant tickets: €9 (50% employer)
  • Transport: 50% subscription OR Sustainable Mobility Package (€37.5 / month )

Funding (last 2 of 3 rounds)

Jul 2024

$2.8m

GRANT

Apr 2022

$23m

SERIES A

Total funding: $30.1m

Our take

The MedTech boom has seen many innovations through the 2010s, and Implicity, a remote patient monitoring and cardiac data management company, has definitely had a clear lineage of growth since its founding in 2016.

Implicity develops software to monitor and analyse the information from pacemakers and cardiovascular devices to aid physicians and healthcare professionals through all stages of a patient’s treatment. However, maintaining growth on one product alone is hard, especially with so much Medtech competition. Implicity remedies this with its other product, a data analysis platform that uses AI and cloud technology to analyse the devices linked up to its aforementioned pacemaker and cardio health platform. Implicity leverages this data for use in patient management, clinical studies, and R&D.

Playing both fields of MedTech has diversified the draw for hospitals and companies to Implicity. It continues to update and diversify the double offering via updates to its systems with the company hoping to exemplify the continued innovation that is key to MedTech company growth.

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Freddie

Company Specialist at Welcome to the Jungle