Senior Software Engineer - Data & AI

Trust In SODA; Galway; Hybrid; EUR 77,000 - 101,000; Full time

Job summary

Trust In SODA in Galway (Hybrid) is seeking a Senior Engineer to join an innovative tech team focused on advanced analytics, data, cloud and AI. The role is primarily Python-based, with encouragement for strong Java/C# engineers to transition to Python.

You will work on prototyping through to production, leveraging AWS, AI/ML, and modern data technologies, while collaborating with data scientists and engineers in a fast-paced environment.

Qualifications

• 6+ years' experience in enterprise software development.
• Strong Python experience or Java/C# with willingness to move into Python.
• Strong understanding of OOP and data structures.
• Solid experience with RDBMS and SQL.
• Strong AWS/cloud experience.
• Experience building data pipelines and handling large datasets.
• Experience with Pandas and NumPy.
• Experience working with REST APIs.
• Knowledge of CI/CD practices.
• Scripting on Linux/Windows.

Responsibilities

• Design and develop scalable applications and data-driven solutions.
• Process and generate analytics from large structured and unstructured datasets.
• Build custom data pipelines to extract, transform, map and load data.
• Develop rapid prototypes and take solutions through to production.
• Work with Python, AWS, SQL, S3, Snowflake, Oracle and PL/SQL.
• Integrate data from REST APIs and multiple enterprise sources.
• Develop solutions leveraging cloud and parallel processing.
• Explore and implement AI/ML and LLM-based solutions.
• Contribute to technical design and architecture.
• Collaborate with developers, data engineers, data scientists and quantitative professionals.
• Troubleshoot complex technical issues and participate in an on-call rotation.
• Take ownership of projects from inception through to delivery.

Skills

Python

Java/C#

OOP

SQL

AWS

Data pipelines

Pandas/NumPy

REST APIs

CI/CD

Scripting

Tools

Snowflake

S3

Oracle

PL/SQL

Job description

Galway | Hybrid

Up to €480 per day

12-month contract with a view to extend

We are partnering with a leading global investment and financial services organisation to appoint a Senior Engineer to join an innovative technology team focused on advanced analytics, data, cloud and AI. This is an opportunity for a highly capable engineer to work beyond traditional enterprise development, operating in a fast‑paced environment where ideas move quickly from concept and rapid prototyping through to production. The role is primarily Python-based, although strong Java or C# engineers who are keen to transition into Python are encouraged to apply. You'll have exposure to AI/ML, LLMs and prompt engineering, working with technologies such as GPT, Gemini and Claude, alongside AWS and modern data technologies.

What You'll Be Doing

• Design and develop scalable applications and data-driven solutions
• Process and generate analytics from large structured and unstructured datasets
• Build custom data pipelines to extract, transform, map and load data
• Develop rapid prototypes and take solutions through to production
• Work extensively with Python, AWS, SQL, S3, Snowflake, Oracle and PL/SQL
• Integrate data from REST APIs and multiple enterprise sources
• Develop solutions leveraging cloud and parallel processing
• Explore and implement AI/ML and LLM-based solutions
• Contribute to technical design and architecture
• Collaborate with developers, data engineers, data scientists and quantitative professionals
• Troubleshoot complex technical issues and participate in an on‑call rotation
• Take ownership of projects from inception through to delivery

What We're Looking For

• 6+ years' experience in enterprise software development
• Strong Python experience, or strong Java/C# experience with a willingness to move into Python
• Strong understanding of Object-Oriented Programming and Data Structures
• Solid experience with RDBMS and SQL
• Strong AWS/cloud experience
• Experience processing large datasets and building scalable applications
• Experience developing data pipelines
• Experience with technologies such as Snowflake, S3, Oracle and/or PL/SQL
• Experience with Pandas, NumPy or similar data libraries
• Experience working with REST APIs
• Knowledge of CI/CD
• Linux and/or Windows scripting experience
• Strong problem-solving and troubleshooting skills
• Excellent technical design, communication and influencing skills
• A hands‑on, curious and adaptable approach

Why This Role?

This is a chance to work within a highly collaborative technology environment where engineering, data, quantitative research and AI come together. You'll have the opportunity to work on technically challenging problems, experiment with emerging technologies and see innovative solutions move rapidly from prototype to production.