LEAD DATA ENGINEER

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Information Technology • Travel
The Role
Design, develop, and maintain scalable data pipelines and cloud-based data platforms. Build Azure Databricks and Apache Spark solutions using Delta Lake architectures, data lakes, warehouses, and analytics platforms. Implement governance, security, CI/CD, monitoring, and reliability practices. Troubleshoot distributed systems, ensure data quality and performance, and provide technical guidance while collaborating with cross-functional Agile teams on reporting, analytics, and AI initiatives.
Summary Generated by Built In

Job Title

LEAD DATA ENGINEER

Job Description Summary

We are seeking data engineering professionals passionate about building innovative, scalable, and cloud-based data platforms. In this role, you will collaborate with cross-functional teams to deliver reliable data insights and solutions. You will contribute technical guidance and help ensure data quality, governance, and performance across projects.

In this role, you'll:

  • Design, develop, and maintain data pipelines for ingestion, transformation, and delivery.
  • Build and optimize data platforms using Azure Databricks, Apache Spark, and related technologies.
  • Implement Delta Lake architectures (bronze, silver, gold layers) and drive best practices.
  • Develop and maintain data lakes, warehouses, and modern analytics platforms.
  • Apply data governance and security practices using appropriate tools and standards.
  • Monitor production systems, troubleshoot issues, and enhance platform reliability.
  • Participate in technical discussions, share knowledge, and support team learning.
  • Contribute to reporting, analytics, and AI initiatives through robust data infrastructure.

Your Profile:

  • Substantial experience in data engineering, including big data technologies.
  • Hands-on exposure to Azure Databricks, Apache Spark, and data pipeline frameworks.
  • Familiarity with Delta Lake architecture (bronze, silver, gold layers).
  • Knowledge of Azure Data Lake Storage, Data Factory, and related services.
  • Experience implementing CI/CD for data engineering workflows.
  • Understanding of data governance and security concepts.
  • Ability to troubleshoot and resolve issues in distributed data environments.
  • Strong collaboration, communication, and problem-solving mindset.
  • Comfortable working in Agile or similar team-oriented methodologies.
What we can offer you
🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
🤗 A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
🌟 A hybrid working model - We want our employees to do their best work, however the hybrid model works best for them.
🌈 A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
📈 A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
🎯 A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.

Diversity & Inclusion


Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.  


Amadeus is an equal opportunity employer and committed to an accessible recruitment process. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.


Be aware of recruitment scams


Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.

Skills Required

  • Substantial experience in data engineering, including big data technologies
  • Hands-on experience with Azure Databricks, Apache Spark, and data pipeline frameworks
  • Familiarity with Delta Lake architecture, including bronze, silver, and gold layers
  • Knowledge of Azure Data Lake Storage, Azure Data Factory, and related services
  • Experience implementing CI/CD for data engineering workflows
  • Understanding of data governance and security concepts
  • Ability to troubleshoot and resolve issues in distributed data environments
  • Strong collaboration, communication, and problem-solving skills
  • Comfort working in Agile or similar team-oriented methodologies
Am I A Good Fit?
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The Company
HQ: Madrid
10,001 Employees
Year Founded: 1987

What We Do

Travel powers progress. Amadeus powers travel. Amadeus’ solutions connect travelers to the journeys they want, linking them via travel agents, search engines and tour operators to airlines, airports, hotels, cars and railways. Technology has always been critical to developing global travel, increasing scale, choice and access. We have developed our technology in partnership with the travel industry for 30 years. We combine a deep understanding of how people travel with the ability to design and deliver the most complex, trusted, and critical systems our customers need.

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