Data Engineer - Reporting, Automation & Analytics
Bengaluru, India
About the Job
Britannica Home Fashions is looking for a Data Engineer - Reporting, Automation & Analytics to own the data pipelines, SQL storage, and reporting systems that power decision-making across our merchandising, inventory, and e-commerce teams.
In this role, you'll build and maintain Python data pipelines, SQL data lake storage, and Qlik Sense reports and dashboards used by teams across the business. You'll work directly with US-based stakeholders to turn ad hoc data requests into reliable, automated processes, and you'll be the person who tracks down why a number looks wrong and drives it to resolution.
We want someone who uses AI tools fluently as part of daily work, reaching for tools like Claude, Copilot, and Chat GPT to write and debug code, draft SQL, validate data, and build reports faster rather than doing everything by hand. As our technology platform evolves, you'll have opportunities to explore up-to-date AI capabilities, intelligent automation, and next-generation reporting systems.




Key Responsibilities
Data Pipelines & Automation
Design and build Python ETL pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sources Build and maintain SQL data lake storage so historical and change data stays available for analysis Automate recurring data jobs (e.g., via Rundeck) and monitor them for failures and data anomalies Use AI tools to accelerate pipeline development, script writing, and troubleshooting, and look for opportunities to automate manual, repetitive work Reporting & Dashboards
Build and maintain custom reports and dashboards in Qlik Sense/NPrinting for inventory, retail sales, and marketplace performance Design and deliver fully custom, one-off data reports in response to stakeholder requests Act as the point person for data confirmations, resolving mismatches between source systems and reports Support and improve IT-enabled reporting systems,

📌 Data engineer (Bengaluru)
🏢 Britannica Home Fashions
📍 Bengaluru