Algotale Group is hiring a Senior Data Engineer to enhance the reliability, security, and evolution of their core data platforms. This role involves designing and operating data systems that support analytics, reporting, and regulatory workflows for wealth and asset management.
Responsibilities:
- 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
Requirements:
- 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
- Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related field
- 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