Manufacturing Data & AI Engineer: Pipelines & AI Agents

Cognizant Life Sciences Manufacturing; Cork; On-site; EUR 70,000 - 100,000; Full time

Job summary

Cognizant Life Sciences Manufacturing is seeking a Data Analytics & AI Engineer to turn manufacturing data into actionable decisions. You will build data pipelines, deliver Power BI analytics, and design AI agent/LLM solutions working with manufacturing, quality and engineering teams.

You will own projects from framing to delivery, ensuring data integrity in GMP contexts and collaborating across disciplines.

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

Python programming

SQL

Communication with non-technical stake

Self-starter

Education

Bachelors or higher in CS/Engineering/Data Science

Tools

Azure Databricks

Delta Lake

Airflow/Databricks Workflows

Git-based CI/CD

Job description

Cognizant Life Sciences Manufacturing is seeking a Data Analytics & AI Engineer to turn manufacturing data into actionable decisions. You will build data pipelines, deliver Power BI analytics, and design AI agent/LLM solutions working with manufacturing, quality and engineering teams.

You will own projects from framing to delivery, ensuring data integrity in GMP contexts and collaborating across disciplines.