IT Global Team lead - Data engineering job opportunity at Continental.

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Date2025-11-03T12:38:12.533Z bot
Continental IT Global Team lead - Data engineering
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Electronic City Road, Bengaluru, Karnataka, India
loacation Electronic Cit..........India
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Job Description-Lead and manage the global IT team for data engineering that develops all technical artefacts as code, implemented in professional IDEs, with full version control and CI/CD automation. This team combines both lakehouse modeling of common and business use ase artefacts & semantics, as well as generalist data integration & metadata services. -Ensure high-quality delivery of data engineering assets that enable business analytics, AI/ML integration, and data governance at scale. -Act as the delivery and people manager for the data engineering team co-located in Bengaluru, collaborating globally with platform, business, and other IT stakeholders. -Drive consistency, engineering excellence, and cross-domain reuse across the entire data engineering lifecycle—from data acquisition to semantic layer delivery, while applying rigorous software engineering practices in data engineering such as modular design, test-driven development, and artifact reuse in all implementations-Direct management of approx. 10–15 data engineers (generalists and specialists). Reports to the global head of Data & Analytics within the IT Competence Center. -Team delivers data engineering & analytics assets via Product Owner for data & analytics to all business domains. -Collaborates with Product Owners, Lead Architects & Lead engineers, Data Governance, Infrastructure & Cybersecurity, and domain-aligned functional IT teams globally. Main Tasks- Line management for a high-performing, cross-functional data engineering team. - Drive skill development, mentorship, and performance management. - Foster a culture of accountability and trust.- Own timely delivery of data & analytics assets from data acquisition to semantic layers. - Align work with business priorities and architectural standards. - Ensure quality gates and documentation.- Act as primary escalation and coordination point across business domains. - Bridge infrastructure, functional IT, cybersecurity, and platform decisions. - Advocate for team in global forums.- Guide adoption of engineering best practices (TDD, CI/CD, IaC) & guide building all technical artefacts as code, creating scalable batch and streaming pipelines in Azure Databricks using PySpark and/or Scala -Leading the design and operation of scalable batch/stream pipelines in Databricks, including ingestion from structured/semi-structured sources and implementation of bronze/silver/gold layers under lakehouse governance. -Overseeing dimensional modeling and curated data marts for analytics use cases, while ensuring semantic layer compatibility and collaboration on enterprise 3NF warehouse integration. -Ensuring high-quality engineering practices across data validation, CI/CD-enabled TDD, performance tuning, metadata governance, and stakeholder collaboration via agile methods.- Build an inclusive, high-performance team culture in Bengaluru. - Champion DevSecOps, reuse, automation, and reliability. Commit all artifacts to version control with peer review and CI/CD integration - Ensure documentation, knowledge sharing, and continuous improvement.-Leading the design and operation of scalable, secure ingestion services—including CDC, delta, full-load, and SAP extractions via tools like Theobald Extract Universal. -Overseeing integration with APIs, legacy systems, Salesforce, and file-based sources, while aligning all interfaces with cybersecurity standards and compliance protocols. -Driving the development of the enterprise data catalog application, supporting dataset discoverability, metadata quality, and Unity Catalog–aligned access workflows.  

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