We have an exciting contract job opportunity of Data Engineer / KPI Dashboard for one of our leading airline client.
Role Purpose
The Data Engineer will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for business, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
Contract – 6 months with possibility to extend
Location – Waterside (UB7 0GB)
Work Model: Hybrid – 3 days per week onsite
Pay - attractive daily rate (Inside IR35)
Key Responsibilities
* Develop and optimize data pipelines for ingestion, transformation, and storage.
* Ensure data quality, integrity, and security across systems.
* Collaborate with Data Scientists and Analysts to enable advanced analytics.
* Implement best practices for scalability and performance in cloud environments.
* Support integration of MRO AI Solutions into business operational workflows.
* Design data architecture and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.
Required Skills & Experience
* Expertise in Python, SQL, and modern ETL frameworks.
* Hands-on experience with cloud platforms (AWS preferred).
* Strong knowledge of data modeling and API integration.
* Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
* Familiarity with airline or logistics data domains is a plus.
* Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
* Initial co-location with client teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.
Preferred Consulting-Level Competencies
* Ability to design enterprise-grade data solutions under tight timelines.
* Strong stakeholder engagement and solution-oriented mindset.
* Experience in advisory or consulting roles for data engineering projects.
* Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
* Ability to implement standards and frameworks for scalable data solutions across multiple operating companies.