Neo Group - Senior Data Engineer

Overview

We are hiring a Senior Data Engineer to own the reliability, security, and evolution of Neos core data platforms.

This role sits at the intersection of data engineering, platform reliability, and data security.

You will design and operate data systems that power analytics, reporting, decision engines, and regulatory workflows across Neos wealth and asset management platforms.

This is not a dashboard-only role.

This is not just an ETL role.

You are accountable for how data flows, how secure it is, and how trustworthy it remains in production.

What You Will Do

• Design and operate scalable batch and streaming data pipelines.
• Own data ingestion, transformation, and serving layers across systems.
• Build reliable data platforms used by analytics, product, and AI teams.
• Ensure data quality, freshness, and correctness at scale.
• Design secure access patterns for sensitive financial data.
• Implement encryption, access controls, and audit-ready data workflows.
• Partner with product, risk, compliance, and InfoSec teams.
• Debug data failures, delays, and inconsistencies in production.
• Take ownership during data incidents and reliability issues.
  
  

Bachelors/masters degree in computer science, Engineering, Data Science, or related field.

Required Skills & Experience

• 5+ years building production-grade data engineering systems.
• Strong Python and SQL fundamentals.
• Experience designing and maintaining ETL / ELT pipelines.
• Experience with cloud-native data platforms (AWS preferred).
• Strong understanding of data modelling and warehouse design.
• Experience operating relational and NoSQL databases in production.
• Solid grasp of data security fundamentals (IAM, PAM, encryption, access control).
• Ability to reason about performance, cost, and reliability trade-offs.
  
  

• Experience with financial, trading, or wealth management data.
• Exposure to streaming or event-driven data systems.
• Experience with data governance, lineage, or cataloging.
• Familiarity with compliance-driven environments (SEBI, SOC, ISO).
• Experience working closely with InfoSec or risk teams.
  
  

• Engineers who think in systems, not scripts.
• Strong ownership of data correctness and security.
• Bias toward reliability over cleverness.
• Comfort operating in regulated environments.
• Engineers who debug production issues end-to-end.
  
  

(ref:hirist.tech)