Data Engineer II: ETL, Analytics & Insights

Boston Scientific Gruppe; Clonmel; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Boston Scientific is seeking a Data and Analytics Specialist II on a permanent basis to join our team in Ireland. The role focuses on governance of data pipelines, datasets and analytics to connect manufacturing and enterprise systems, turning stakeholder requirements into scalable reports and digital workflows.

You will work across manufacturing, quality, cybersecurity and compliance to deliver reusable supply-chain capabilities, with a strong emphasis on data integrity and timely

Qualifications

• Honours bachelor’s degree (level 8) or higher in Computer Science, Engineering, Data Analytics or 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.

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.

Skills

ETL/ELT development

SQL

Python

Data visualization

Analytics

API integration

Education

Honours bachelor’s degree (level 8) in Computer Science, Engineering, Data Analytics or related discipline

Tools

Apache Airflow

Azure

AWS

Snowflake

Spark

Job description

Boston Scientific is seeking a Data and Analytics Specialist II on a permanent basis to join our team in Ireland. The role focuses on governance of data pipelines, datasets and analytics to connect manufacturing and enterprise systems, turning stakeholder requirements into scalable reports and digital workflows.

You will work across manufacturing, quality, cybersecurity and compliance to deliver reusable supply-chain capabilities, with a strong emphasis on data integrity and timely