Data Engineer

<h2>About us</h2><p>💙 Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence.</p><p>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.</p><p><strong>To put it simply, when you join Implicity, you'll contribute to save lives</strong> <strong>with us</strong> 💓🩺</p><p>Dr Arnaud Rosier (cardiologist and AI researcher) &amp; David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016.</p><ul><li><p>10+ years later, a French Start-Up / Scale-Up 🐓 is a real game changer in the healthcare market, literally shaping the future of cardiology.</p></li><li><p>250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients.</p></li></ul><p>👩🏻👨🏿👱🏻 At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together.</p><p>This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market.</p><p><strong>In a nutshell, thanks to Implicity:</strong></p><p>🏆 Patients get a far better care</p><p>🏆 Doctors' life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden</p><p>🏆 Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)</p><p><strong>It can start as soon as you can!</strong></p><h2>Job and recruitment context</h2><h3>⭐️ <strong>Opening line</strong> ⭐️</h3><p>We are looking for an <strong>Data Engineer</strong> to join our <strong>Data Platform (Ingestion)</strong> team.</p><p>Your mission is to help streamline data access to promote scalability as we transition from a web-centric to a <strong>data-centric</strong> design within cloud-based micro-services.</p><p><strong>🤝 Reporting Structure</strong></p><ul><li><p><strong>Direct Report</strong>: Damien Parent (Lead Data Engineer).</p></li><li><p><strong>Collaboration</strong>: You will be part of the Ingestion section of the Data Platform team, collaborating within a tech team of 8 people.</p></li></ul><h3>🧠 Your missions</h3><ul><li><p><strong>Build and maintain</strong> scalable data ingestion pipelines and ETL/ELT processes (from staging to production).</p></li><li><p><strong>Contribute to the evolution</strong> of our data architecture to improve performance, scalability, and reliability.</p></li><li><p><strong>Partner with</strong> analytics engineers, data scientists, and business teams to understand and implement data requirements.</p></li><li><p><strong>Support and optimize</strong> cloud-based data infrastructure (AWS).</p></li><li><p><strong>Deploy automated</strong> data quality checks and monitoring systems to ensure data reliability.</p></li><li><p><strong>Develop and keep up-to-date</strong> technical documentation for data processes and systems.</p></li><li><p><strong>Investigate and resolve</strong> data-related issues to guarantee data integrity across the stack.</p></li></ul><h3>🧁 Our Technical Environment</h3><p><em>The following is our current stack, we don't expect you to be an expert in every single tool.</em></p><ul><li><p><strong>Languages:</strong> Python, Java, TypeScript</p></li><li><p><strong>Data Processing:</strong> Spark (GLUE), Apache Beam (or Apache Flink)</p></li><li><p><strong>Storage &amp; Table Format:</strong> PostgreSQL, Apache Iceberg, S3</p></li><li><p><strong>Integration &amp; Messaging:</strong> RabbitMQ</p></li><li><p><strong>Infrastructure &amp; DevOps:</strong> AWS, Terraform (IaC), Docker, Kubernetes, GitLab CI</p></li><li><p><strong>Analytics &amp; OLAP System :</strong> DBT, Cube, Metabase, Athena</p></li><li><p><strong>Methodology:</strong> Agile (Scrum), Lean management</p></li></ul><h3>🥇 Your Profile and Mindset</h3><p><strong>Experience Profile:</strong></p><ul><li><p><strong>Seniority &amp; Experience</strong>: Intermediate level with 3 to 5 years of hands-on experience in data engineering.</p></li><li><p><strong>Sector Experience (Bonus)</strong>: Prior experience in the Tech or SaaS sector is a plus.</p></li><li><p><strong>Education:</strong> Master / Engineer in Computer Science, Engineering, or related field.</p></li><li><p><strong>Languages:</strong> Fluent in English and French.</p></li></ul><p><strong>Hard Skills:</strong></p><ul><li><p><strong>Core Engineering:</strong> Solid <strong>SQL &amp; Modeling</strong> skills (efficient schemas) and hands-on experience with <strong>Python</strong> or Java.</p></li><li><p><strong>Cloud Platform :</strong> Experience with <strong>AWS, GCP, o</strong>r Azure is required.</p></li><li><p><strong>Data Processing:</strong> Proven experience building robust <strong>ETL/ELT pipelines</strong> (GB/TB scale) with batch / streaming frameworks (e.g. Spark, Apache Beam, Flink, Hadoop) with automated <strong>quality checks</strong> and proactive monitoring.</p></li><li><p><strong>Orchestration :</strong> Experience with Dagster or Airflow (or equivalent).</p></li><li><p><strong>Experience with</strong> Lakehouse or DataWarehouse is a plus (Snowflake, BigQuery, <strong>Apache Iceberg / S3</strong>).</p></li><li><p><strong>Engineering Standards:</strong> Ability to apply best practices to build maintainable pipelines while <strong>balancing technical debt with feature delivery</strong> (balancing speed and code quality).</p></li><li><p><strong>AI usage:</strong> We value engineers who use <strong>AI-assisted tools</strong> (Cursor, Claude, Copilot).</p></li><li><p><strong>Health &amp; Privacy (Bonus):</strong> Interest in healthcare data and familiarity with <strong>GDPR/HDS</strong>. Previous exposure to <strong>FHIR</strong> is a plus.</p></li></ul><p><strong>Mindset and Soft Skills:</strong></p><ul><li><p><strong>Pragmatic &amp; Focused:</strong> Able to work in fast-paced environments with a focus on delivering value.</p></li><li><p><strong>Autonomous &amp; Self-driven:</strong> Comfortable working independently while contributing effectively to cross-functional teams.</p></li><li><p><strong>Curious &amp; Adaptable:</strong> Eager to learn and develop expertise in emerging data technologies.</p></li></ul><p><strong><em>A Note on Applying:</em></strong><em> 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.</em></p><p></p><h2>Recruitment process</h2><ol><li><p>📞 <strong>1st HR Contact</strong> with Astrid (Recruiter) – 45 min (Remote) – Focus on experience and soft skills.</p></li><li><p>👥 <strong>Job Interview</strong> with Damien (Lead Data Engineer) – 45 min (Remote) – Focus on technical fundamentals.</p></li><li><p>🧠 <strong>Technical Test / Use Case</strong> with Data team members – 1h30 (On-site).</p></li><li><p>🤖 <strong>Fit Interview</strong> with the CTO – 1 hour (On-site or remote) – Focus on fit and culture.</p></li></ol><p>🤝 <strong>Meet the Team</strong> – 30 min (Optional).</p><p>📞 <strong>Reference Check &amp; Offer</strong> (usually follows within 72 hours 🤞).</p><p><em>Depending on your availability, the recruitment process should last less than 3-4 weeks.</em></p><h2>General information</h2><p>💰 <strong>Salary</strong></p><ul><li><p>For this job (CDI), you have a base salary depending on your experience between €55k-60k.</p></li><li><p>Eligible for stock option (BSPCEs) according to the company's existing rules</p></li></ul><p><strong>👍 Benefits</strong></p><ul><li><p>Health care plan: Alan (50% employer)</p></li><li><p>Luncheon voucher: 9€ (50% employer)</p></li><li><p>Transport: 50% of your pass OR sustainable mobility pass</p></li></ul><p><strong>📍 Remote work &amp; Location</strong></p><ul><li><p>3 days per week</p></li><li><p>Location: 29 rue du Louvre, 75002, PARIS</p></li></ul>