Senior Data Engineer

TheRole

• Join a high-impact data transformation programme within the aviation sector, where a global leading airline is undergoind a major data modernization journey.

• The initiative goes far beyond a basic lift and shift; it’s a forward-looking transformation that blends the stability of mature legacy systems with the innovation of cloud-first, AI-driven architecture.

• As a senior data engineer, you’ll play a critical role in building and optimizing modern, scalable data solutions that enable smarter decision-making, richer customer experiences and operational excellence.

• You’ll be a part of a highly collaborative network of teams working with cutting edge cloud-based technologies whilst also navigating complex legacy ‘on-premise’ environments .

• This role offers engineers the opportunity to leave behind traditional approaches and contribute to a programme with long-term impact at the forefront of aviation data innovation.

Yourresponsibilities:

 Design, build and maintain robust data pipelines that support critical business applications and analytics

 Analyze, re-engineer and modernize existingETLprocesses from legacy systems into scalable cloud-native solutions

 Contribute to the development and optimization of a cloud-based data platform, leveraging tools like snowflake, AWS and airflow

 Work closely with data architects, analysts and other engineers to deliver high-quality, production-ready code

 Participate in code reviews, ensuring adherence to best practices and high engineering standards

 Investigate data quality issues and implement monitoring and alterting systems to ensure pipeline reliability

 Document workflows, data lineage and technical designs to support maintainability and knowledge sharing

 Champion a culture of continuous improvement, experimentation and technical excellence within the team

Essential skills/knowledge/experience:

 Strong hands-on experience with data engineering in both on-prem and cloud-based environments

 Good working knowledge and hands on experience working with Teradata and Infomatica.

 Proficiency in working with legacy systems and traditional ETL workflows

 Solid experience building data pipelines using modern tools (Airflow, DBT, Glue etc.) and working with large volumes of structures and semi-structured data

 Demonstrated experience withSQL and Python for data manipulation, pipeline development and workflow orchestration

 Strong grasp of data modelling, data warehousing concepts and performance optimization techniques

 Hands-on exposure to cloud platforms, especiallyAWS

 Experience working in agile teams and using version control and CI/CD practices

Desirableskills/knowledge/experience:

 Experience withSnowflakeor other cloud-native data warehouse technologies

 Familiarity with GraphQL and its use in data-driven APIs

 Exposure to data governance, data quality and metadata management tools

 Interest or experience in applying machine learning / AI pipelines or features within a data engineering context

 Understanding of DevOps conceps as applied to data (DataOps) and infrastructure-as-code tools like Teraform or Cloudformation

 Previous experience in highly regulated industries or large-scale, enterprise-grade environments