Engineering Manager, Data & Analytics India

Department Icon Data Science Analytics & Machine Learning
Posted: 2 weeks ago
8-12 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 28 Nov 2026

Posted: 2 weeks ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

We are seeking an experienced Engineering Manager, Data & Analytics – India to join our team. The role will lead our India-based Data & Analytics engineering team and drive the design and development of Mideras enterprise data platform. You will work closely with global teams to deliver scalable data solutions that power AI and business intelligence across the organization.

Key Responsibilities

  • Lead the technical and engineering direction for the India Data & Analytics team.
  • Design and implement scalable data solutions using Microsoft Fabric, Power BI, Azure, SQL, and Python.
  • Build and mentor a high‑performing engineering team.
  • Drive data architecture, pipelines, and integration of ERP and operational systems.
  • Collaborate with AI and analytics teams to enable enterprise AI initiatives.

Required Qualifications

  • 8–12+ years of professional experience in data engineering, data architecture, business intelligence or related disciplines.
  • At least 3 years of meaningful technical leadership or engineering‑management experience.
  • Strong hands‑on SQL, Python, Power BI, Microsoft Fabric, Azure skills.
  • Experience designing enterprise data warehouses, lakehouses, or modern cloud data platforms.
  • Excellent communication, English language, and stakeholder engagement skills.

Nice to have

  • Significant hands‑on experience with Microsoft Fabric, Fabric Lakehouse, Warehouse, OneLake.
  • Experience with Microsoft Dynamics 365 Finance & Operations and other ERP integration.
  • Experience with AI, machine learning, generative AI, or enterprise AI engineering teams.
  • Familiarity with Azure DevOps, Git, CI/CD, automated testing, and modern development practices.

Skills

PythonData ArchitectureErpMachine LearningAnalyticsAiSqlGenerative Ai

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