Data and Analytics Specialist II

Boston Scientific; The Borough District of Clonmel; On-site; EUR 70,000 - 90,000; Full time

Job summary

Boston Scientific Ireland is seeking a Data and Analytics Specialist II to support Digitalisation programmes by building governed data pipelines, curated datasets and scalable analytics that connect manufacturing and enterprise systems.

You will design and maintain ETL/ELT pipelines across MES, SAP, historians and equipment, and partner with quality, cybersecurity and compliance teams to deliver secure, traceable solutions.

Qualifications

• Honours degree in CS/Engineering/Data Analytics or related field.
• Hands-on experience with SQL, Python and modern orchestration.
• Experience building production-grade ETL/ELT pipelines across ERP/SCADA environments.

Responsibilities

• Design, build and maintain ETL/ELT pipelines across MES, SAP, historians and enterprise sources.
• Assess data quality; implement automated validation, monitoring, lineage and audit controls.
• Develop reusable analytics, semantic layers and visualisations for Constellation supply-chain use cases.

Skills

Stakeholder collaboration

Analytical thinking

Problem solving

Communication

Education

Honours bachelor’s degree (level 8) in Computer Science / Engineering / Data Analytics

Tools

SQL

Python

Orchestration tools

Data lakes / data warehouses

Reporting/visualisation

Azure

AWS

Snowflake

Spark

APIs

Job description

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High PerformanceAt Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.Advancing possibilities for a brighter tomorrowWe are seeking a Data and Analytics Specialist II on a permanent basis to join our team.Job Purpose:Supports Digitalisation Programmes by building governed data pipelines, curated datasets and analytics that connect manufacturing and enterprise systems. The role converts stakeholder requirements into scalable reports, metrics and digital workflows that improve data integrity, traceability and timely decision-making. Working across business functions, quality, cybersecurity and compliance teams, the Data Engineer enables reusable supply-chain capabilities, operational efficiency and trusted insight across global operations.Key Responsibilities:Design, build and maintain ETL/ELT pipelines across MES, SAP, historians, equipment and enterprise sources.Assess data quality; implement automated validation, monitoring, lineage and audit controls.Develop reusable semantic layers, analytics and visualisations supporting Constellation supply-chain use cases.Optimise batch and streaming performance and maintain scalable, documented data processes.Partner with business, quality, cybersecurity and compliance teams to deliver secure, traceable solutions.Education & Experience:Education & CertificationsHonours bachelor’s degree (level 8) or higher in Computer Science, Engineering, Data Analytics or a related discipline, or equivalent experience.Practical knowledge of SQL, Python, orchestration, data lakes/warehouses, integrations, reporting and data visualisation.Understanding of descriptive and diagnostic analytics; exposure to predictive analytics is advantageous.ExperienceTypically 3–5+ years of relevant experience in data engineering, data analytics, software development or manufacturing systems.Demonstrated experience designing, building and supporting production-grade ETL/ELT pipelines, curated datasets and data integrations using SQL, Python and modern orchestration tools.Experience integrating data from enterprise and operational systems such as SAP, MES, equipment, historians, APIs, data lakes or cloud platforms.Practical experience implementing data-quality checks, monitoring, metadata, lineage, access controls and documented support processes.Able to investigate defined complex technical problems, assess options, communicate recommendations and deliver agreed outcomes with appropriate guidance.Proven ability to manage priorities, document work, meet deadlines and contribute effectively both independently and within multidisciplinary teams.Core CompetenciesETL/ELT pipeline development, SQL, Python and API integrationData warehousing, semantic modelling, reporting and visualisationCloud and data platforms such as Azure, AWS, Snowflake and SparkData quality, performance optimisation, automation and monitoringRequirements gathering, stakeholder collaboration and clear communicationBasic analytics/ML tooling, including Pandas, scikit-learn, Keras or PyTorchKey Standards & Practices (as applicable)Boston Scientific Quality Policy and documented quality processes, with commitment to patient safety and product qualityData governance, master data, quality, metadata, lineage and controlled accessPrivacy-by-design, GDPR, ISO/IEC 27001, NIST CSF and IEC 62443, as applicableISA-95, ISA-88, OPC UA and MQTT/Sparkplug for industrial integration, where applicableGoverned, documented and reusable delivery aligned with Constellation architecture and compliance requirementsA good working knowledge of Boston Scientific systems a distinct advantage.The successful candidate must be a self-starter with the ability to work on own initiative, while possessing strong team player characteristics.As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.So, choosing a career with Boston Scientific isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!To search and apply for open positions, visit: https://bostonscientific.eightfold.ai/careersAt Boston Scientific, we recognise that nurturing a diverse and inclusive workplace helps us be more innovative. It is essential in advancing science for life and improving patient health. We stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve. Boston Scientific is proud to be an equal opportunity and affirmative action employer. Boston Scientific is committed to providing reasonable accommodations for applicants and employees with a disability. Should you require a reasonable accommodation during the recruitment process, please email [e-mail]