Digital spaneting is an essential function in helping to achieve the online sales performance and brand positioning for TUI. We are seeking an experienced Lead Data Engineer to join our digital apps team and take ownership of the design, development, and optimization of data pipelines and infrastructure on Google Cloud Platform (GCP). This is a key role where you will drive the technical architecture of our data engineering processes, ensuring scalability, performance, and alignment with the digital strategy of our applications. You will play a critical role in shaping the data landscape for our digital products, enabling product and analytics teams to harness data effectively for actionable insights.

It is an exciting time to join TUI as we are accelerating our App transformation to a single platform across all spanets. You will be working closely with other TUI source spanets and stakeholders to establish and implement a common approach to App data management and practices within the Google cloud platform.  

Please note the closing date for applications is: Sunday 29th December 
 

ABOUT THE ROLE 

• Lead the design, build, and maintenance of efficient and scalable ETL/ELT pipelines for digital applications using GCP tools such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and more.
• Ensure data ingestion from a variety of sources (e.g., web, mobile apps, third-party APIs) into Google Cloud, transforming raw data into ready-to-use formats for analytics and business intelligence.
• Own the architecture of data pipelines, ensuring optimal performance, cost-efficiency, and scalability on Google Cloud Platform (GCP).
• Implement best practices for data storage, query optimization, and performance tuning in BigQuery and related GCP services.
• Provide technical expertise to support digital app teams by creating data models, summary tables, and views that enable effective analysis and reporting.
• Work alongside with App commercial and Product analysts and teams to understand their data needs, ensuring that pipelines and data models meet business requirements.
• Implement and maintain strong data governance policies, ensuring data accuracy, consistency, and security across all platforms.
• Ensure compliance with data privacy regulations (GDPR) and internal data handling guidelines, integrating privacy-by-design principles into the engineering process.
• Build automated workflows and solutions for data quality monitoring, pipeline execution, and reporting processes using tools like Python.
• Design and implement automation scripts for the deployment and scaling of data infrastructure, ensuring smooth and efficient data processing across the organization.
• Work closely with cross-functional teams, including product managers, data scientists, analysts, and spaneting teams, to ensure data is easily accessible and usable for their specific use cases.
• Act as a subject matter expert on data engineering best practices, mentoring junior engineers and promoting a culture of collaboration and continuous learning.
• Stay ahead of industry trends and new technologies, evaluating and implementing new tools that enhance our GCP data architecture, such as AI/ML solutions and real-time streaming technologies.
• Lead initiatives to future-proof our data infrastructure, ensuring it remains scalable, flexible, and capable of supporting the evolving needs of our digital apps.

ABOUT YOU 

• Extensive experience working with Google Cloud Platform (GCP), specifically with services like BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Functions, and Cloud Storage.
• Strong proficiency in SQL and Python for data processing, automation, and pipeline orchestration.
• Experience designing and managing ETL/ELT pipelines at scale, including real-time data streaming and batch processing.
• Deep understanding of data warehousing principles, cloud-based data architectures, and performance tuning in BigQuery or similar platforms.
• Proven track record of optimizing data infrastructure for cost-efficiency and performance on GCP.
• Strong ability to collaborate with product, engineering, and analytics teams to translate business requirements into robust data solutions.
• Ability to stay current with evolving technologies in the cloud, AI, and data engineering fields.
• A forward-thinking approach to building data solutions that are both resilient and adaptable to future needs.

From a workplace to a place to belong.  At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless.

We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.

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