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As a Data/Information Architect, you will lead the data architecture and information modelling for an airline operations supply chain implementation, ensuring that data across supply, demand, inventory and operational planning domains is structured, integrated and governed to support effective business decision-making. You will combine strong hands-on expertise in AWS, Databricks and data modelling with a solid understanding of supply chain processes and the SCOR (Supply Chain Operations Reference) model, particularly Supply and Demand Planning. Working closely with business stakeholders, solution architects, functional consultants and engineering teams, you will translate airline operational requirements into scalable data solutions that enable end-to-end supply chain visibility, planning and optimisation. • Lead the data and information architecture for the airline operations supply chain implementation, ensuring alignment with business objectives, solution design and enterprise architecture standards., • Design and implement scalable data architectures using AWS and Databricks, covering data ingestion, transformation, storage, processing and consumption., • Define conceptual, logical and physical data models for supply chain domains, including supply planning, demand forecasting, inventory management, resource availability and operational requirements., • Apply the SCOR model, particularly the Plan and Source processes and their associated supply and demand capabilities, to translate supply chain business processes into data entities, relationships, metrics and information flows., • Establish end-to-end data integration patterns across relevant airline operational systems, planning applications, enterprise platforms and external data sources., • Define data standards, business glossaries, master and reference data structures, data quality rules, lineage and governance requirements to ensure consistent and trusted information across the supply chain., • Collaborate with business and functional teams to understand supply and demand planning requirements, translate them into data architecture specifications and resolve data-related design challenges., • Provide technical leadership across architecture, engineering and implementation teams, reviewing solution designs and ensuring adherence to data modelling, performance, scalability, security and operational standards., • Define data architecture artefacts, including architecture diagrams, data flow designs, entity relationship models, interface specifications and implementation guidelines., • Support implementation, testing, performance optimisation and production readiness, ensuring that the data architecture meets functional and non-functional requirements and enables measurable business outcomes., • Proven experience as a Data Architect, Information Architect or Solution Architect delivering data-intensive supply chain or enterprise planning implementations., • Experience with supply chain planning solutions, demand forecasting, inventory optimisation and supply-demand balancing., • Knowledge of data mesh, domain-oriented data products, event-driven architecture and modern cloud data platform patterns., • Strong hands-on knowledge of AWS data services and cloud architecture, including relevant services for data ingestion, processing, storage, orchestration, security and monitoring., • Strong experience with Databricks, including Lakehouse architecture, Delta Lake, data engineering patterns and scalable data processing., • Expertise in conceptual, logical and physical data modelling, including dimensional modelling, relational modelling, entity relationships, data normalisation and data warehouse/lakehouse design., • Strong understanding of the SCOR model and its application to supply chain processes, particularly Supply and Demand Planning, forecasting, inventory and resource planning., • Experience translating supply chain business requirements into data models, information flows, integration specifications and architecture designs., • Experience integrating data across multiple enterprise and operational systems, including APIs, batch processing, event-driven integration and streaming where appropriate., • Knowledge of data governance, master data management, data quality, metadata management, lineage and data security in enterprise environments., • Experience delivering data solutions for airline operations, aviation supply chains, maintenance planning, technical operations, material planning or MRO environments., • Familiarity with airline operational systems and data relating to aircraft, fleet availability, maintenance requirements, spare parts, inventory, suppliers and operational resource planning., • Experience with supply chain planning solutions, demand forecasting, inventory optimisation and supply-demand balancing., • Knowledge of data mesh, domain-oriented data products, event-driven architecture and modern cloud data platform patterns., • Experience working in Agile delivery environments and leading architecture governance, design reviews and implementation teams. Location Luton Bedfordshire, UK #J-18808-Ljbffr

When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so that people can exercise their get-up-and-go. With almost 300 aircraft flying over 1,000 routes to more than 32 countries, we’re the UK’s largest airline, the fourth largest in Europe and the tenth largest in the world. Set to fly more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we’re still growing. With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced organisation. You will join as a Senior Platform Data Engineer providing technical leadership to the Data Engineering team. You will work closely with our Data Scientists and business stakeholders to ensure value is delivered through our solutions. • Develop robust, scalable data pipelines to serve the easyJet analyst and data science community., • Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala., • Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities., • Coach and mentor the team (including contractors) to improve development standards., • Work with Business Analysts to deliver against requirements and realise business benefits., • Build a documentation library and data catalogue for developed code/products., • Oversight of project deliverables and code quality going into each release., • Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes., • Clear communication; can communicate effectively in both written and verbal forms with technical and nontechnical audiences alike., • Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations., • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field., • Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take., • Significant experience designing and building data solutions on a cloud based, big data distributed system., • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD), and software deployment automation with GitHub actions or Azure DevOps., • Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test., • Comfortable writing efficient SQL and debugging., • Data warehouse operations and tunning experience in schema evolution, indexing, partitioning., • Hands-on IaC development experience with Terraform or CloudFormation., • Understanding of ML development workflow and knowledge of when and how to use dedicated hardware., • Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam), • Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture., • Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting., • Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. GDPR), • Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam., • Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing unbounded data (pubsub, message queues, event streaming etc), • Understanding of the most commonly used Data Science and Machine Learning models, libraries and frameworks., • Knowledge of the development lifecycle of analytical solutions using visualisation tools (e.g. Tableau, PowerBI, ThoughtSpot), • Hands-on development experience in an airline, e-commerce or retail industry., • Worked within the AWS cloud ecosystem., • Experience of building a data transformation framework with dbt., • Up to 20% bonus, • 25 days holiday, • BAYE, SAYE & Performance share schemes, • Life Insurance, • Work Away Scheme, • Flexible benefits package, • Excellent staff travel benefits We operate a hybrid working policy of 40% of the month spent with colleagues. We look forward to your application and the possibility of you flying high with our team! At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation #J-18808-Ljbffr

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