Data Engineer-KPI Dashboard

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.