Competitive Data Engineering Manager

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.

Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

About eBay

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals entrepreneurs businesses and organizations of all sizes. eBay Marketplaces operates in 190 markets worldwide.

Are you looking for a company that inspires passion courage and imaginationwhere you can help shape the future of global commerce Join eBay and help influence how millions of people buy sell connect and share.

About the Team

The Global Competitive Strategy & Insights team delivers high-impact insights that guide eBays senior leadership in navigating a dynamic commerce landscape. We connect market data trends and competitive intelligence into actionable strategies that shape enterprise-level strategic decisions.

As the team evolves we are investing in scalable data infrastructure and automation to significantly enhance how competitive insights are generated and delivered.

About the Role

The Competitive Data Engineering & Analytics Manager is a hybrid role that combines strong data engineering ownership with advanced analytics execution. This role is responsible for building and scaling end-to-end data pipelines integrating third-party/vendor data into eBays data ecosystem and enabling reliable automated and self-serve analytics.

In addition to owning data infrastructure this role drives competitive analytics builds dashboards and accelerates the teams AI-enabled transformation through automation and tooling.

The ideal candidate is equally comfortable designing data pipelines and delivering business insights with a strong bias toward automation scalability and system thinking.

Key Responsibilities

Own Data Engineering & Pipeline Development

Design build and maintain scalable data pipelines to ingest transform and integrate third-party/vendor datasets into the data warehouse.
Establish robust ETL/ELT frameworks to ensure data quality reliability and timeliness
Partner with Data Engineering teams to optimize data models storage and compute efficiency.
Define data schemas validation checks and monitoring systems to ensure high data integrity.
Reduce manual data handling by building automated ingestion and transformation workflows.

Lead Data Integration & Vendor Data Strategy

Own end-to-end onboarding of external/vendor data sourcesfrom scoping requirements to pipeline deployment.
Manage vendor relationships and ensure consistent high-quality data delivery.
Standardize and unify disparate data sources into a coherent and scalable data model.

Build Scalable Reporting & Visualization

Develop automated dashboards and reporting layers using Tableau (or similar BI tools).
Enable self-serve analytics by creating reusable data models and semantic layers.
Improve performance and usability of dashboards through optimization and standardization.

Leverage AI & Automation

Implement AI-driven workflows (e.g. LLMs internal tools) to automate data processing analysis and reporting.
Build and deploy automated pipelines and agents for competitive intelligence generation.
Continuously identify opportunities to reduce manual work and improve efficiency.

Partner with Stakeholders

Collaborate across time zones with strong communication and execution discipline.
Support both long-term strategic projects and fast-turn ad hoc requests.

Drive Operational Excellence

Identify scalability bottlenecks and propose technical solutions.
Establish best practices for data governance pipeline reliability and analytics workflows.
Provide technical guidance on feasibility timelines and data methodologies.

Requirements

6 years of experience in Data Engineering Data Analytics or hybrid roles.
Strong proficiency in SQL and good knowledge of Python and experience building data pipelines.
Experience working with data warehouses.
Experience ingesting and integrating third-party/vendor datasets.
Hands-on experience with BI tools such as Tableau.
Strong understanding of data modeling ETL/ELT processes and data quality management
Experience automating workflows and improving data scalability.
Familiarity with AI/ML or LLM-based tools in analytics workflows.
Strong communication skills and experience working in global teams.

Preferred Qualifications

Experience in eCommerce marketplaces or competitive intelligence domains.
Experience building data platforms or reusable analytics frameworks.
Exposure to AI agents prompt engineering or automation frameworks.

Success in the Role

Successfully builds and scales reliable data pipelines for external data ingestion.
Enables automated self-serve competitive analytics across the organization.
Reduces manual effort through strong automation and system design.

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.

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Required Experience:

Manager