Senior Data Engineer - Enterprise DWH

Build and maintain data pipelines
Build, enhance and troubleshoot ETL/ELT pipelines using SQL and Python.
Transform raw operational data into clean, reusable datasets for reporting and analytics.
Create data quality checks, reconciliation logic, logs and restartable processing steps.
Work with real business systems
Integrate data from Casino/CMS, Opera PMS, Symphony/Micros POS, finance/ERP, loyalty and Microsoft 365 sources.
Understand source-system changes and update mappings before reports break.
Protect guest gaming and financial data through practical access control and careful data handling.
Own delivery, not just code
Work with IT, business users and vendors to clarify requirements and turn them into working data solutions.
Review vendor deliverables, source code, data mappings, test evidence and documentation before acceptance.
Keep core knowledge in-house through clear documentation, reusable code and proper handover materials.
Support production issues, investigate root causes and propose permanent fixes.
Improve performance and reliability
Tune SQL queries, indexes, partitions and pipeline design for better speed and lower operational risk.
Mentor junior or associate engineers through code review, pairing and practical troubleshooting.