דרושים Sr Data Engineer Coyol ב-Boston Scientific ב-צרפת

France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

Your role in Data & AI

As a Senior Data Platform & MLOps Engineer, you will design, build, and operate the cloud data platforms that powers analytics and AI solutions across EMEA. You will partner closely with data engineers, AI engineers, data scientists, product managers, architects, and governance teams to create secure, reliable, and reusable platform services. This role combines hands-on engineering with cross-functional collaboration and plays a key part in implementing our new global data strategy.

You will work across a wide range of platform components, from data ingestion and orchestration to observability, security, and automation, ensuring that regional requirements such as GDPR and data residency are built into platform design without slowing innovation.

Crucially, you will build and maintain the shared infrastructure that enables AI engineering and data science teams to develop, deploy, and scale machine learning solutions efficiently and responsibly. Your work will accelerate the delivery of AI-driven insights and automation across EMEA, ensuring that advanced analytics and ML capabilities are grounded in a secure, compliant, and scalable data foundation.

What you will do

You will design, build, and operate cloud data platform components, including data lakes, warehouses, streaming systems, orchestration layers, and metadata tooling. Your work will focus on making these services secure, observable, automated, and scalable, enabling analytics, AI, and data science teams to innovate with confidence.

In parallel, you will design, implement, and maintain MLOps pipelines that support the full machine learning lifecycle, from experimentation and model training to deployment, monitoring, and continuous improvement. You will embed model governance, lineage tracking, and performance observability into the platform, ensuring that ML solutions are reliable, compliant, and production-ready. You’ll also collaborate closely with data scientists and AI engineers to streamline model delivery using modern tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.

In this role, you will:

• Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata.
• Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows.
• Monitor platform and model health, pipeline performance, latency, and costs, driving continuous optimization.
• Collaborate with global engineering and architecture teams to deliver infrastructure-as-code, secure patterns, and reusable services.
• Translate business and product needs into reusable platform and MLOps capabilities, templates, and standards.
• Provide guidance and coaching to teams on best practices, self-service tooling, and platform adoption.
• Strengthen observability, data quality, and compliance through metrics, logging, lineage, and GDPR-aligned controls.
• Contribute to global architecture and platform standards while representing EMEA-specific requirements and priorities.

We’re seeking someone with deep engineering craft, strong MLOps expertise, and the ability to balance speed with governance in a complex environment. You enjoy solving platform challenges, building scalable, reusable patterns, and enabling data and AI teams to develop, deploy, and scale models efficiently. You do not need a MedTech background, though experience in regulated industries or working with sensitive data is an advantage.

Must-haves (the practical elements)

• Bachelor’s degree in computer science, engineering, or a related field, with 5–8+ years of experience in data, platform, or MLOps engineering.
• Strong cloud experience, particularly with AWS and Snowflake (Azure is a plus), combined with hands-on skills in Python, SQL, and distributed processing frameworks (e.g., Spark/EMR).
• Expertise with infrastructure-as-code (Terraform or similar), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerized/orchestrated environments (Docker, Kubernetes).

• Demonstrated ability to design, implement, and maintain MLOps pipelines covering model training, deployment, monitoring, and retraining, using tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.
• Model lifecycle management: Familiarity with model registries, feature stores, and governance frameworks that include versioning, lineage tracking, explainability, and compliance.
• Experience in implementing observability for ML and data systems, including metrics collection, model-drift detection, and performance dashboards.
• Security and compliance: Solid understanding of cloud security best practices (IAM, encryption, secrets management, policy-as-code) and the ability to design solutions aligned with governance and regulatory requirements.

• Strong communication and collaboration skills across technical and non-technical stakeholders, fluency in English, and eligibility to work in one of the listed hub locations.

We also expect familiarity with

To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:

• Modern data lakehouse architectures, data mesh concepts, and event streaming platforms (Kafka, Kinesis).
• End-to-end MLOps lifecycle management, including CI/CD for machine learning models, model performance monitoring, and automation best practices.
• Enterprise data catalogs (Collibra, Alation, Purview), documentation practices, and developer experience design.
• Batch, micro-batch, and streaming workloads, cost optimization strategies, and large-scale or regulated environments.
• Understanding of governance and compliance frameworks (GDPR), data residency requirements, and secure access models.

Bonus points

• Experience in MedTech, Pharma, Consulting, or other regulated industries.
• Exposure to AI/ML workflows, MLOps pipelines, semantic layers, feature stores, or GenAI-assisted tooling.
• Strong interest in coaching, knowledge sharing, and working in large, multinational teams.

Why this role matters

This position sits at the heart of our new enterprise data strategy. The systems you build will provide the foundation for everything from operational reporting to advanced analytics, AI, and connected digital products. You will join a global community of engineers and architects who collaborate closely, share practices across regions, and collectively shape a new platform that will serve Boston Scientific for many years to come.

Because this is a greenfield transformation, you will have significant scope to influence architecture, establish standards, and design solutions that balance speed, governance, and sustainability. Your work will help accelerate how data improves decision-making, supports clinicians, and ultimately enhances patient outcomes.

Interview process

If you are excited by the idea of building secure, scalable, and well-engineered data platforms that enable others to innovate, we would be happy to hear from you.

Costa Rica-Coyol

Hybrid Roles:

Your Responsibilities

• Lead projects developing high-performance solutions (including bots, automated spreadsheets, RPA (Robotic Process Automation), dashboards, data extractions, artificial intelligence, etc. Create high-quality code that satisfies needs and strives for simplicity, clarity, and testability.

• Assist in maintaining and evolving documentation, toolkits, and knowledge resources to support consistency and knowledge sharing across improvement efforts.

• Properly capture value of high-performance solutions, making delivered improvements transparent.
• Identify and recommend ways to drive more value out of the company's technology assets, maximizing reuse and avoiding redundancy. Participate in discovery sessions with business stakeholders – identifying process requirements, the solutions that can be leveraged, resources required, etc.
• Understand architectural, design, implementation, and security standards and best practices. Engage in and align practices with the company’s digital transformation strategy.

• Work closely with management to educate and to articulate the requirements necessary to promote overall digital goals.

What we are looking for

• Bachelor’s Degree or higher in engineering or data science
• 4+ years experience related to data analytics and reporting
• Knowledge in Microsoft Power Platform (Power BI, Power Automate, Power Apps)
• English level Desire 80% or above
• Please submit Resume in English

Preferred Qualifications:

• Experience in a regulated industry environment
• Working knowledge of SAP/S4Hana and Snowflake
• Proven track record of implementing strategic business initiatives in matrixed teams
• Outstanding interpersonal skills for developing relationships and driving continuous improvement

Costa Rica-Coyol

Hybrid Roles:

About the role:

Works cross-functionally to lead process development of complex technologies on new products and ensures efficient and effective transfer of new product into production.

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Process Engineering & Continuous Improvement:

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• Oversees development builds associated with the project using special work requests.
• Writes and reviews validation protocols and reports applicable to new processes.
• Plans, organizes, and conducts all aspects of technical reviews.
• Provides Design for Manufacturability (DFM) input to the engineering print package.
• Contributes ideas to or generates Intellectual Property submissions.
• Trains and/or provides work direction to technicians and engineers and may train manufacturing personnel when required as part of a validation.
• May serve as a core team member or extended team member on new product projects.

Minimum Requirements

• Bachelor’s or Master’s Degree in Mechatronics Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
• 7+ years of experience in process engineering, mechanical design, and control system integration in a manufacturing or industrial automation setting.
• Proven experience in:

1. 3D mechanical CAD tools (e.g., SolidWorks, PTC Creo, AutoCAD)
2. PLC/HMI development (e.g., Siemens TIA Portal, Allen-Bradley RSLogix/Studio 5000)
3. Motion control systems (e.g., servo drives, stepper motors, pneumatics)
4. Control systems programming, electrical panel layout, and troubleshooting.
5. Strong understanding of mechatronic system integration—including mechanical, electrical, and software interfaces.
6. Familiar with robotics, machine vision, and industrial communication protocols.
7. Experience with process documentation (P&IDs, control narratives, wiring diagrams).
8. Ability to lead cross-functional teams and drive projects from concept to production.

Preferred Qualifications:

• Experience with MATLAB/Simulink or other modeling/simulation tools.
• Familiarity with NI LabVIEW, Python, or C/C++ for custom test or automation tools.
• Experience in regulated industries (medical device, automotive, aerospace, or semiconductor).
• Professional Engineer (PE) license or relevant certifications (e.g., Six Sigma Black Belt).
• Knowledge of Industry 4.0, IoT-enabled manufacturing, and digital twin technologies.

France-Île-de-France; Germany-Düsseldorf; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

ADay in the Lifeof the EMEA Data Product Manager & Owner:

You’ll begin your day by reviewing data products performance and reliability signals across your portfolio - usage and adoption trends, data quality scores, pipeline SLAs/SLOs, and customer feedback. You’ll meet with internal customers to connect business outcomes to clear data products objectives, refining priorities to unlock measurable value.

When EMEAspecific regulatory constraints (e.g., GDPR) arise, you’ll partner with Legal, Security, and HR to chart compliant pathways that keep delivery moving.

You will work with data engineering, platform, architecture and governance teams to clarify data contracts, schemas, lineage, and access models, ensuring every increment is productionready and governed by design. You’ll groom the roadmap and backlog, decomposing epics, sharpening acceptance criteria, and balancing new capabilities with technical debt, observability, and cost optimization. You’ll demo recent increments, capture user feedback, and turn it into testable stories that improve usability, trust, and performance. You’ll brief sponsors on value realized and present investment options for the next phases.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.

The role:

Reporting to the Data Strategy & Enablement Sr Manager, the EMEA Data Product Manager & Owner is accountable endend for strategy and dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of product strategy, stakeholder leadership, and handson ownership to ship secure, compliant, and scalable data products that power analytics, AI, and operational workflows across the region.

Key Responsibilities:

• Product vision & strategy: Define a 12–24‑month vision, value hypotheses, and positioning for EMEA data products, maintain an outcome‑based roadmap aligned with enterprise standards and local needs.
• Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
• Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time‑to‑data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
• Data governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
• Data contracts & semantics: Maintain versioned schemas and contracts, define business rules and semantic layers that ensure interoperability across domains.
• Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country‑specific requirements.
• Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
• Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
• Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
• Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
• Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

• Bachelor’s in Business, Computer Science, Engineering, or related field.
• 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Medtech/pharma/consulting experience is a plus.
• Proven success delivering data products from concept to scaled adoption (data product mindset desirable).
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Practical understanding of ELT/ETL, event streaming, data modeling, semantic layers, and production operations (SLAs/SLOs, observability).
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
• Excellent communication and facilitation, able to influence executive, technical, and non‑technical audiences.
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

• A passion for enabling teams with trustworthy, usable data, and a bias for measurable outcomes.
• Ownership mindset with high accountability for user satisfaction and product reliability.
• Pragmatic product instincts: you simplify, focus, and ship, balancing new value with platform hygiene and cost.
• Curiosity for emerging capabilities (semantic modeling, GenAI augmentation …etc.) and how to apply them responsibly.

What do we offer:

• A chance to shape the EMEA data product portfolio and set enterprise‑wide standards.
• A collaborative, global network and supportive coaching culture focused on your growth.
• Opportunities to lead high‑impact initiatives that advance analytics and AI adoption across diverse markets.
• A coaching culture environment focusing on your success and development!

The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.

France-Voisins le Bretonneux; Belgium-Diegem; France-Corse; France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Poland-Warsaw; Spain-Madrid; United Kingdom-Hemel Hempstead

About the Role

We’re looking for aFinance Process Improvement Expert / Process Engineerwho will be a partner across Finance subfunctions and other support functions to optimize, automate, and standardize key finance processes. You’ll combine process engineering principles with financial process understanding to drive innovation, capacity, and simplification.

This role reports to.

Key Responsibilities

• Identify, design, and implement process improvements across FP&A, Accounting, and Controlling using Lean , Six Sigma , or other process improvement methods.
• Lead face-to-face workshopsto engage teams and co-create sustainable process enhancements.
• Partner with IT and Analytics teams to automate workflows using SAP, EPM, Tableau, Power BI, or RPA.
• Use process mining and AI-driven tools like Celonis to uncover improvement opportunities.
• Define KPIs to track progress on projects and ensure measurable impact.
• Partner with finance functions to develop standard operating procedures (SOPs) and promote consistent, scalable processes.
• Support change management and foster a culture of continuous improvement within Finance.

Qualifications & Experience

• Bachelor’s degree in engineering , Industrial Engineering, or related field.
• Lean Six Sigma certification(Green Belt or higher) preferred.
• 3–7 years of experience in process engineering , business process improvement
• Strong skills in process mapping and project management tools and methodologies.
• Proven experience facilitating process improvement workshops .
• Familiarity with ERP systems (SAP/Oracle), process visualization tools (Visio), and process mining (Celonis).
• Excellent analytical, communication, and stakeholder management skills.

Success Metrics

The FIT (Finance Improvement Team) success will be defined by our ability to improve the following metrics:

• Reduced finance process cycle times and manual effort.
• Increased automation and process standardization.
• Improved reporting accuracy.
• Positive stakeholder feedback and measurable efficiency gains.

Why Join Us?

• Join us at a pivotal time in our transformation journey and help shape the future of Finance at Boston Scientific. You’ll be part of a high-impact, cross-functional team creating value through innovation, efficiency, and strategic insight.
• If you’re passionate about continuous improvement, digital transformation, and enabling Finance to become a better business partner — we’d love to hear from you.

OurInterventional Oncology and Embolization (IO&E)portfolio empowers physicians to treat tumors less invasively. It includes:

• Embolization technologies
• TheraSphere™ Y90 transarterial radioembolization
• Ablation technologies

, you will lead cross-functional teams in the execution ofin oncology. This role emphasizes agility, learning, and creative problem-solving to accelerate the development of breakthrough cancer therapies.

• Lead strategic and operational planning of interventional oncology trials
• Manage global clinical studies in alignment with strategy, budget, and SOPs
• Collaborate on development of study materials, systems, and regulatory submissions
• Engage with external physicians and key opinion leaders (KOLs)
• Oversee clinical trial budgets (up to 25%) including forecasting and variance reviews
• Direct CROs and clinical vendors
• Ensure audit readiness and risk management throughout the study lifecycle
• Present study progress, data, and risks to leadership
• Provide clinical input to product development teams
• Domestic travel: 10–25%

• Bachelor’s degree with 5+ years of oncology-related experience
• 1–3 years in early feasibility oncology clinical research
• 1–3 years of project/trial management experience
• 1–3 years of financial and budget management experience
• Experience working with CROs and clinical vendors

• Experience in solid tumor , medical device , or drug development
• Familiarity with product development teams

• Innovative thinking and problem-solving
• Strategic execution with minimal supervision
• Strong collaboration and influence across global stakeholders
• Adaptability in dynamic and uncertain environments