Senior Data Engineer, Implicity

• Education : Master / Engineer
• Experience to design and implement efficient and scalable data pipelines
• Experience working with relational and analytics databases (PostgreSQL, AWS Athena)
• Experience working with AWS or GCP data services
• Good knowledge of lakehouse architecture
• Methodologies: Scrum, CI/CD
• Fluent in English (French practice is a plus)
• Excellent communication, interpersonal and networking skills : you love to work in a team
• You are able to discuss and communicate about your work
• Autonomy and curiosity to develop skills in new technologies
• Self-driven, able to work independently as well as on cross-functional teams
• Pro-active and problem-solving attitude, very strong prioritization skills

Desirable

• 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. We encourage continuous learning and innovation, with dedicated time for experimentation and skill development
• 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
• Our technical stack:
• Languages: Python, Java, Typescript
• Encapsulation technology: Docker, Kubernetes
• Big Data tools: Spark, Apache Iceberg
• Data / ML pipeline: Glue, MLflow
• Real time or streaming: RabbitMQ, Kafka, Apache Beam
• Cloud: AWS, Terraform
• Database: MongoDB, MariaDB, PostgreSQL
• CI/CD: Gitlab
• Analytics: DBT, Looker Studio
• Methodology: Agility (Scrum), Lean management

• 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
• Start Date: 02 June 2025

• 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 )

Total funding: $30.5m

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.