{"schemaVersion":"jobsearcher.job.v1","id":"a656aa006151a0d846dfb3b8","url":"https://jobsearcher.com/jobs/a656aa006151a0d846dfb3b8","canonicalUrl":"https://jobsearcher.com/jobs/a656aa006151a0d846dfb3b8","title":"Data Analytics Engineer","description":"About us\nImplicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence.\n\nThanks 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.\n\nTo put it simply, when you join Implicity, you’ll contribute to save lives with us\n\nDr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016.\n\n10+ years later, a French Start-Up / Scale-Up is a real game changer in the healthcare market, literally shaping the future of cardiology.\n\n250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients.\n\nAt Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together.\n\nThis amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market.\n\nIn a nutshell, thanks to Implicity:\n\nPatients get a far better care\n\nDoctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden\n\nHealthcare payers eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)\n\nIt can start as soon as you can!\n\nJob and recruitment context\nAs 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.\n\nReporting Structure\n\nDirect Report: Damien (Data Engineer Manager)\n\nCollaboration: You will be part of the Analytics section of the Data Platform team, collaborating within a tech team of 8 people.\n\nYour Profile and Mindset\nExperience Profile\n\nExperience: 3+ years as an Analytics Engineer or similar data & analytics role\n\nFamiliarity with Modern Data Stack : data modeling, ETL/ELT, and orchestration tools.\n\nStrong interest in the healthcare sector and the challenges of medical data normalization (HL7, FHIR).\n\nStrong ownership mindset and attention to data quality.\n\nFluent in English and French.\n\nYour missions\nTransformation 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.\n\nSemantic Layer: Build and maintain business oriented models using cube.dev ensuring BI-ready datasets to access to critical performance indicators.\n\nData Quality & Traceability: Implement automated testing and monitoring to ensure the highest levels of documentation, data quality and availability from S3 to Metabase\n\nStakeholder Partnership: Act as a technical partner to Business Unit teams, translating business questions into technical requirements and analytical frameworks.\n\nRun & Support: Investigate and resolve data quality incidents to ensure the reliability of our analytics platform.\n\nFuture of Analytics at Implicity: Enable self-service analytics and emerging agentic solutions empowering users to independently discover insights and optimize workflows. ( Metabase )\n\nTo 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.\n\nAt Implicity, you will have a weekly meeting with your manager, to help you succeed in your mission, and continuously improve your skills.\n\nEach team works with quarterly OKR, to be crystal clear, fair and honest with your targets.\n\nThe annual appraisal is a shared exchange moment, focused on your development.\n\nOur Analytics Technical Stack\nThe following is our current stack, we don’t expect you to be an expert in every single tool.\n\nLakehouse: AWS S3, Parquet, Apache Iceberg\n\nQuery Engine: AWS Athena\n\nTransformation & Orchestration: dbt, Dagster\n\nGovernance & Lineage: DataHub\n\nSemantic & BI: Cube.dev, Metabase\n\nInfrastructure: AWS, Kubernetes (EKS), Terraform, Docker, GitLab CI/CD\n\nHard skills and Soft skills\nTechnical Expertise:\n\nSQL Mastery: Proficiency in SQL, DBT to transform raw data into high-quality analytical assets. Comfortable with window functions, indexing strategies, and knowledge to optimize complex queries.\n\nModern Data Stack: Experience Python orchestrators (Airflow, Dagster …) building and maintaining data pipelines\n\nGovernance Advocate: Strong commitment to data governance, lineage, and documentation.\n\nBI: Data visualization expertise with tools like Metabase, Superset, Tableau, or similar.\n\nEngineering Mindset: Version control (Git), CI‑CD, documentation, and best practices are daily basis tools.\n\nProfessional Skills:\n\nCollaborative mindset: Strong communication skills to work with technical and non-technical stakeholders.\n\nTeam player: Genuine passion for teamwork and dedicated to elevating your colleagues towards collective success.\n\nSelf-driven & autonomous: Comfortable working independently while contributing to cross-functional teams.\n\nCuriosity & adaptability: Eager to learn and develop expertise in emerging technologies.\n\nProblem-solving orientation: Proactive approach with strong analytical and prioritization skills.\n\nQuality-focused: Committed to code quality, testing, and documentation.\n\nAI-Assisted: Ability to leverage tools like Cursor or Claude to accelerate delivery while maintaining high code quality.\n\nA Note on Applying: 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.\n\nGeneral information\nSalary\nFor this job (full-time), you have a base salary between €52k-57k depending on your experience\n\nEligible for stock option (BSPCEs) according to the company's existing rules\n\nBenefits\nHealth care plan: Alan (50% employer)\n\nLuncheon voucher: 9€ (50% employer)\n\nTransport: 50% of your pass OR sustainable mobility pass\n\nRemote work & Location\n3 days per week (progressively)\n\nLocation: 29 rue du Louvre, 75002, PARIS\n\n#J-18808-Ljbffr","company":"Implicity","rawCompany":"implicity","city":"Paris","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-06-20T04:50:13.856Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer","description":"About us\nImplicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence.\n\nThanks 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.\n\nTo put it simply, when you join Implicity, you’ll contribute to save lives with us\n\nDr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016.\n\n10+ years later, a French Start-Up / Scale-Up is a real game changer in the healthcare market, literally shaping the future of cardiology.\n\n250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients.\n\nAt Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together.\n\nThis amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market.\n\nIn a nutshell, thanks to Implicity:\n\nPatients get a far better care\n\nDoctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden\n\nHealthcare payers eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)\n\nIt can start as soon as you can!\n\nJob and recruitment context\nAs 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.\n\nReporting Structure\n\nDirect Report: Damien (Data Engineer Manager)\n\nCollaboration: You will be part of the Analytics section of the Data Platform team, collaborating within a tech team of 8 people.\n\nYour Profile and Mindset\nExperience Profile\n\nExperience: 3+ years as an Analytics Engineer or similar data & analytics role\n\nFamiliarity with Modern Data Stack : data modeling, ETL/ELT, and orchestration tools.\n\nStrong interest in the healthcare sector and the challenges of medical data normalization (HL7, FHIR).\n\nStrong ownership mindset and attention to data quality.\n\nFluent in English and French.\n\nYour missions\nTransformation 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.\n\nSemantic Layer: Build and maintain business oriented models using cube.dev ensuring BI-ready datasets to access to critical performance indicators.\n\nData Quality & Traceability: Implement automated testing and monitoring to ensure the highest levels of documentation, data quality and availability from S3 to Metabase\n\nStakeholder Partnership: Act as a technical partner to Business Unit teams, translating business questions into technical requirements and analytical frameworks.\n\nRun & Support: Investigate and resolve data quality incidents to ensure the reliability of our analytics platform.\n\nFuture of Analytics at Implicity: Enable self-service analytics and emerging agentic solutions empowering users to independently discover insights and optimize workflows. ( Metabase )\n\nTo 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.\n\nAt Implicity, you will have a weekly meeting with your manager, to help you succeed in your mission, and continuously improve your skills.\n\nEach team works with quarterly OKR, to be crystal clear, fair and honest with your targets.\n\nThe annual appraisal is a shared exchange moment, focused on your development.\n\nOur Analytics Technical Stack\nThe following is our current stack, we don’t expect you to be an expert in every single tool.\n\nLakehouse: AWS S3, Parquet, Apache Iceberg\n\nQuery Engine: AWS Athena\n\nTransformation & Orchestration: dbt, Dagster\n\nGovernance & Lineage: DataHub\n\nSemantic & BI: Cube.dev, Metabase\n\nInfrastructure: AWS, Kubernetes (EKS), Terraform, Docker, GitLab CI/CD\n\nHard skills and Soft skills\nTechnical Expertise:\n\nSQL Mastery: Proficiency in SQL, DBT to transform raw data into high-quality analytical assets. Comfortable with window functions, indexing strategies, and knowledge to optimize complex queries.\n\nModern Data Stack: Experience Python orchestrators (Airflow, Dagster …) building and maintaining data pipelines\n\nGovernance Advocate: Strong commitment to data governance, lineage, and documentation.\n\nBI: Data visualization expertise with tools like Metabase, Superset, Tableau, or similar.\n\nEngineering Mindset: Version control (Git), CI‑CD, documentation, and best practices are daily basis tools.\n\nProfessional Skills:\n\nCollaborative mindset: Strong communication skills to work with technical and non-technical stakeholders.\n\nTeam player: Genuine passion for teamwork and dedicated to elevating your colleagues towards collective success.\n\nSelf-driven & autonomous: Comfortable working independently while contributing to cross-functional teams.\n\nCuriosity & adaptability: Eager to learn and develop expertise in emerging technologies.\n\nProblem-solving orientation: Proactive approach with strong analytical and prioritization skills.\n\nQuality-focused: Committed to code quality, testing, and documentation.\n\nAI-Assisted: Ability to leverage tools like Cursor or Claude to accelerate delivery while maintaining high code quality.\n\nA Note on Applying: 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.\n\nGeneral information\nSalary\nFor this job (full-time), you have a base salary between €52k-57k depending on your experience\n\nEligible for stock option (BSPCEs) according to the company's existing rules\n\nBenefits\nHealth care plan: Alan (50% employer)\n\nLuncheon voucher: 9€ (50% employer)\n\nTransport: 50% of your pass OR sustainable mobility pass\n\nRemote work & Location\n3 days per week (progressively)\n\nLocation: 29 rue du Louvre, 75002, PARIS\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:50:13.856Z","dateModified":"2026-06-20T04:50:13.856Z","hiringOrganization":{"@type":"Organization","name":"Implicity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a656aa006151a0d846dfb3b8"},"url":"https://jobsearcher.com/jobs/a656aa006151a0d846dfb3b8"}}