Lead Data Engineer M/W/X

pAt EarlyTracks, we empower care institutions to manage high-quality medical records with greater efficiency. Our solutions are built on cutting-edge Natural Language Processing (NLP), combining machine learning, terminological resources, and intelligent interfaces to transform unstructured medical data into actionable insights. /ppThe Tech department is responsible for integrating machine learning models into robust, scalable API services. We design and maintain advanced data processing workflows, queue management systems, and industry-standard APIs within an architecture capable of handling diverse medical data formats. The team also ensures seamless integration into client infrastructures, provides ongoing maintenance, and delivers high-level technical support to our partners. /ppAs a Senior Data Engineering Lead, you will play a key role in shaping and delivering our healthcare data products. You will combine hands‑on technical expertise with team leadership responsibilities, ensuring development efforts stay aligned with product priorities, customer commitments, and technical sustainability. /ppYou will currently lead another Data Engineer, serve as the technical reference point for decisions within the Data Engineering domain, and act as the operational bridge between the Product Lead, the Operations Manager, and the development team. /ppYour mission is to maximize the delivery of product value while maintaining quality, scalability, and technical excellence. /ph3Key Objectives /h3ulliLead and develop the Data Engineering /liliTranslate product priorities into actionable technical work /liliMaintain and prioritize the operational backlog in Jira /liliEnsure high standards of software quality, testing, and documentation /liliBalance product roadmap objectives with delivery commitments and technical constraints /liliDrive automation and continuous improvement initiatives /liliContribute to the long‑term evolution of EMS healthcare data products /li /ulh3Technical Leadership /h3ulliLead and mentor a team of Data Engineers (currently one person) /liliDefine, review, and coordinate the team's work and technical priorities /liliGuide architectural decisions and ensure consistency across developments /liliReview code, mentor developers, and promote engineering best practices /liliEnsure technical debt is identified, documented, and addressed appropriately /liliAct as the primary technical escalation point for the Data Engineering domain /li /ulh3Product Delivery Backlog Management /h3ulliMaintain and continuously refine the operational backlog in Jira /liliTranslate product objectives and functional requirements into prioritized technical tasks /liliWork closely with the Product Lead to ensure roadmap objectives are executable /liliProvide effort estimates and technical feasibility assessments /liliIdentify dependencies, risks and capacity constraints /liliEnsure developments are delivered according to agreed priorities and commitments /li /ulh3Quality Automation /h3ulliDefine and implement testing strategies and quality‑control mechanisms /liliEstablish automated product validation and monitoring processes /liliBuild automated reporting and alerting systems /liliImprove traceability, reproducibility and reliability of data processes /liliPromote DataOps practices and continuous improvement /liliDesign and implement scalable data pipelines and processing workflows /liliDevelop algorithms supporting terminology mapping, data normalization and quality assessment /liliAutomate terminology ingestion and integration processes /liliCollaborate with Product, Data Science and Engineering teams to deploy production‑ready solutions /liliContribute to the continuous evolution of the Termino platform and related products /li /ulh3Team Cross‑functional Collaboration /h3ulliSupport the professional growth and development of team members /liliFoster a culture of ownership, collaboration and continuous learning /liliParticipate in capacity planning and delivery planning activities /liliCollaborate closely with Product, Operations, Data Science and commercial stakeholders /liliProvide regular visibility on progress, risks and resource needs /li /ulh3Profil /h3h3Who you are /h3ulliAn experienced Data Engineer with a proven track record of delivering production‑grade solutions /liliComfortable leading people while remaining hands‑on technically /liliAble to balance business priorities, customer commitments, and technical sustainability /liliStructured and pragmatic in decision‑making /liliStrong communicator capable of aligning technical and non‑technical stakeholders /liliPassionate about building high‑quality healthcare technology solutions /li /ulh3Tech skills you have /h3ulliData pipeline architecture and implementation /liliETL/ELT frameworks and data integration workflows /liliTesting frameworks and software quality practices /liliGit, CI/CD and DevOps principles /liliAPI design and integration /liliAzure cloud techno