Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Principal Data Engineer at Serko enhancing global travel tech through data-driven solutions. Collaborating across teams in Bengaluru to drive innovative engineering and best practices.
Responsibilities
- Works closely with stakeholders, including Engineering & Product Management, to assist with data-related needs.
- Supports Senior Principal Engineers in data architecture, design and implementation, driving alignment and adoption across engineering.
- Designing for performance, security, durability and scalability of data models, with version changes.
- Championing good data engineering choices and practices aligned with the wider Serko Engineering standards and practices.
- Advises on any data design's technical limitations and provides alternative solutions aligned with the broader data strategy and approach outlined by Snr Principal Engineers and Architects.
- Leads the development of proof-of-concept projects to validate new data models and data solutions.
- Works with Platform, Security, Engineering and Architecture teams to design, implement, and enhance our data platforms.
- Mentoring and coaching other data engineers (senior and rising talent engineers) to help them further develop their technical and business-influencing skills.
- Assembles large, complex data sets that meet functional / non-functional business requirements.
- Be a champion of Engineering standards and Serko’s sensible conventions, drive alignment and consistency on data engineering approaches and techniques.
- Be an active participant in the communities of practice in Engineering. Contribute to a learning culture, continuously improving our craft, and role-modelling the right technical and behaviour capabilities.
Requirements
- Strong hands-on experience in modern technologies relevant to your stream (e.g. Java, Kotlin or .NET)
- A solid grasp of software architecture, system design, and performance considerations in production environments
- Demonstrated experience solving complex engineering challenges in a collaborative, team-based setup
- A pragmatic approach to problem-solving—balancing short-term needs with long-term scalability and maintainability
- Clear, effective communication skills and a collaborative working style
- Experience mentoring or guiding engineers through design and development
- Familiarity with agile software development and CI/CD practices
- A degree in Computer Science, Engineering, or a related field—or equivalent practical experience
Benefits
- A competitive base pay
- Medical Benefits
- Discretionary incentive plan based on individual and company performance
- Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways
- Flexible work policy.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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