Gurugram, India
Business overview:

Galytix (GX) is delivering Agentic AI for financial services.

Founded in 2015 by credit and insurance experts together with world-class AI engineers, GXʼ financial services specialised AI Agents empower credit and risk professionals with a trusted and personalised agent delivering a step change in productivity and decision-making.

Built for Financial Institutions. With Financial Institutions.

GXʼ Agentic AI technology, built in partnership with global FIs, implements a multi-model approach, combining industry-specific data and domain knowledge with ‘human in the loopʼ oversight, delivering trustworthy outcomes.

Our Specialised AI Agents deliver 30 hours work in 30 minutes.

GXʼ AI Agents are already helping banks and insurers gain new insights into their customers, reduce costs, automate workflows, and transform teamsʼ day-to-day work experience.
Role overview:
- Helping to architect, design, implement, and optimise our data ingestion, transformation, and spreading pipelines and processes.
- Developing data models, processing pipelines,



and back-end services supporting the data science teams, automating processes, building integrations and building analytics.
Desired skills:
- A university degree in Mathematics, Computer Science, Engineering or similar.
- 1-2 years of relevant experience in Data Engineering, ETL and Automation.
- Ability to write clean, scalable, maintainable code in Python.
- Experience in building scalable data pipelines for highly Structured / Unstructured data.
- Adaptable and effective in fast-paced, constantly evolving environments with changing priorities.
- Experience in working in a cross-functional team.
- Strong problem-solving, analytical, and quantitative skills.
- A qualified attitude and service orientation with the ability to work with our international teams.
- Excellent written and verbal command of English.
Preferred skill:
- Proven record of building data science environments deploying M

📌 Jr. Data Engineer (Gurugram)
🏢 Galytix
📍 Gurugram