IT Global Team lead - Data engineering

Continental; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Training opportunities

Mobile and flexible working models

Sabbaticals

Job summary

Continental is seeking a Data Engineering Team Lead in Bengaluru to manage a global team focused on delivering high-quality data engineering assets. This role involves direct management of approximately 10-15 data engineers, ensuring adherence to best practices and fostering a culture of accountability within the team.

The ideal candidate will possess over 8 years of experience in data engineering, and a strong background in managing diverse, globally distributed teams. The position also offers training opportunities and flexible working models.

Qualifications

• Minimum 8 years in enterprise data engineering, including pipeline design.
• At least 3 years of team leadership or technical lead experience.
• Hands-on experience with secure SAP/API ingestion and lakehouse development.

Responsibilities

• Lead global IT team for data engineering and manage deliveries.
• Ensure quality gates and documentation for data engineering assets.
• Foster a culture of accountability and trust within the team.
• Drive skill development and mentorship among team members.

Skills

Team leadership

Data engineering

Software development

Version control

Agile methods

Cloud platforms (Azure)

Data ingestion

Mentorship

Education

Degree in Computer Science, Data Engineering, Information Systems

Certifications in software development and data engineering

Tools

Databricks

PySpark

Scala

Azure Data Engineer

Job description

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 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 such as modular design, test-driven development, and artifact reuse.

• Direct management of approximately 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) and guide building all technical artefacts as code, creating scalable batch and streaming pipelines in Azure Databricks using PySpark and/or Scala.
• Lead 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.
• Oversee dimensional modeling and curated data marts for analytics use cases, while ensuring semantic layer compatibility and collaboration on enterprise 3NF warehouse integration.
• Ensure 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.
• Lead the design and operation of scalable, secure ingestion services—including CDC, delta, full-load, and SAP extractions via tools like Theobald Extract Universal.
• Oversee integration with APIs, legacy systems, Salesforce, and file-based sources, while aligning all interfaces with cybersecurity standards and compliance protocols.
• Drive the development of the enterprise data catalog application, supporting dataset discoverability, metadata quality, and Unity Catalog-aligned access workflows.

Qualifications

Degree in Computer Science, Data Engineering, Information Systems, or related discipline.

Certifications in software development and data engineering (e.g., Databricks DE Associate, Azure Data Engineer, or relevant DevOps certifications).

Minimum 8 years in enterprise data engineering, including data ingestion and pipeline design. Experience across structured and semi-structured source systems is required. Demonstrated experience building production-grade codebases in IDEs, with test coverage and version control.

Hands-on experience with secure SAP/API ingestion, lakehouse development in Databricks, and metadata-driven data platforms. Delivered high-impact enterprise data products in cross-functional environments.

At least 3 years of team leadership or technical lead experience, including hiring, mentoring, and representing team interests in enterprise-wide planning forums.

Demonstrated success leading globally distributed teams and collaborating with stakeholders across multiple time zones and cultures.

Benefits

• Training opportunities
• Mobile and flexible working models
• Sabbaticals

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.