Data Analytics & AI Engineer,

Cognizant Life Sciences Manufacturing; Cork; On-site; EUR 70,000 - 110,000; Full time

Job summary

Cognizant Life Sciences Manufacturing is seeking an Data Analytics & AI Engineer to turn manufacturing data into actionable decisions. You will build reliable data pipelines, deliver Power BI analytics, and design AI agent and LLM solutions that solve real manufacturing problems, collaborating with manufacturing, quality and engineering teams from framing requirements to delivery.

You will develop scalable pipelines and dashboards, implement AI-enabled workflows, and ensure data integrity and

Qualifications

• Degree in Computer Science, Engineering, Data Science or similar (or equivalent experience).
• Hands-on experience with Azure Databricks or a similar Spark platform.
• Experience building analytics solutions that stakeholders use for decisions.
• Practical experience building AI solutions with agents and/or LLMs.
• Strong Python and SQL, plus Delta Lake, Airflow/Databricks Workflows and Git-based CI/CD.
• A self-starter who communicates clearly with non-technical stakeholders.

Responsibilities

• Build and maintain scalable batch and streaming pipelines on Azure Databricks/AWS, with data quality checks, monitoring and CI/CD.
• Deliver dashboards, semantic layers and self-service data products that answer real business questions.
• Design and productionize agentic AI and LLM applications (RAG, tool calling, multi-step workflows) integrated with enterprise data and systems.
• Drive projects independently from requirements to deployment, working within GMP expectations for data integrity and traceability.

Skills

Azure Databricks

Python

SQL

Delta Lake

Airflow/Databricks Workflows

CI/CD

Communication with non-technical Stake

Education

Degree in Computer Science/Engineering/Data Science

Tools

Spark platform

Git

Job description

Data Analytics & AI Engineer, Manufacturing Data & AI

About the role

Join our Manufacturing Data & AI team and help turn manufacturing data into decisions. You’ll build reliable data pipelines, deliver Power BI analytics, and design AI agent and LLM solutions that solve real manufacturing problems, working directly with manufacturing, quality and engineering teams from problem framing through to delivery.

What you’ll do

• Build and maintain scalable batch and streaming pipelines on Azure Databricks/AWS, with data quality checks, monitoring and CI/CD
• Deliver dashboards, semantic layers and self-service data products that answer real business questions
• Design and productionize agentic AI and LLM applications (RAG, tool calling, multi-step workflows) integrated with enterprise data and systems
• Drive projects independently from requirements to deployment, working within GMP expectations for data integrity and traceability

What you’ll bring

• Degree in Computer Science, Engineering, Data Science or similar (or equivalent experience)
• Hands-on experience with Azure Databricks or a similar Spark platform
• Experience building analytics solutions that stakeholders use for decisions
• Practical experience building AI solutions with agents and/or LLMs
• Strong Python and SQL, plus Delta Lake, Airflow/Databricks Workflows and Git-based CI/CD
• A self-starter who communicates clearly with non-technical stakeholders

Nice to have

• GMP or other regulated-industry experience (manufacturing, pharma, life sciences)
• AWS/GCP, MLOps/LLMOps or vector databases