Data Engineer Innovation

Purpose

As a Data Engineer you will be responsible for designing and implementing data pipelines to support AI initiatives. You will work closely with data scientists and other stakeholders to ensure data availability, quality, and reliability. This role requires strong technical skills, attention to detail, and a deep understanding of data engineering principles.

 Accountabilities 

• Design, develop, and maintain data pipelines to support AI initiatives.
• Collaborate with data scientists to understand requirements and ensure data availability and quality.
• Implement data processing and transformation logic to prepare data for analysis and modelling.
• Monitor and optimize data pipelines for performance, scalability, and reliability.
• Stay abreast of the latest advancements in data engineering technologies and best practices.
• Contribute to low-level architecture/technical design aligned to the high-level solution and business
• requirements
• Work within the agile development team to analyse and decompose stories into tasks for simpler
• implementation
• Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
• Responsible for the end-to-end quality of your own deliverables
• Communicate clearly and effectively with team members throughout all the implementation lifecycle

Education & Experience

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• Proven experience working as a Data Engineer or similar role, preferably in the airline industry or a related field.
• Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Apache Spark).
• Strong understanding of database technologies and SQL.
• Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.