Senior Software Engineer – AI & Data Analytics (Hybrid)

Tata Consultancy Services (TCS)

Dublin

Hybrid

EUR 90,000 - 120,000

Full time

6 days ago
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Job summary

Tata Consultancy Services UK&I in Dublin is seeking a Senior Software Engineer to contribute to full-stack, data-intensive, analytics-driven applications. You will lead team-level design, APIs, and data flows, while partnering with architects to align with platform goals.

You will develop data pipelines using Databricks and Spark, and work on AI-powered products and agentic workflows. You will mentor engineers, optimize performance, and ensure secure, scalable, and maintainable solutions in a

Qualifications

  • Full stack or backend software development is required.
  • Strong hands-on experience with Java and Spring Boot.
  • Experience with Python, Databricks or Spark is highly desirable.
  • Knowledge of TypeScript/React where applicable.
  • Experience with cloud native apps on AWS/Azure and CI/CD.
  • Ability to lead team level design discussions and guide implementation.

Responsibilities

  • Lead team level system design, APIs, data flows, and nonfunctional requirements.
  • Collaborate with architects to align with platform goals and standards.
  • Develop data-intensive apps using Databricks/Spark for scalable delivery.
  • Develop and deploy AI-powered products and agentic workflows.
  • Mentor junior engineers and drive engineering quality across the team.

Skills

Full stack/backend development
Java & Spring Boot
Python / PySpark
TypeScript & React
Microservices & RESTful APIs
Relational databases & distributed dat

Education

Bachelor’s degree in CS/SE or related field

Tools

Databricks
Spark
AWS
Azure

Job description

Tata Consultancy Services UK&I in Dublin is seeking a Senior Software Engineer to contribute to full-stack, data-intensive, analytics-driven applications. You will lead team-level design, APIs, and data flows, while partnering with architects to align with platform goals.

You will develop data pipelines using Databricks and Spark, and work on AI-powered products and agentic workflows. You will mentor engineers, optimize performance, and ensure secure, scalable, and maintainable solutions in a

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