Data Engineer with AWS

Data Engineer with AWS Harmondsworth Waterside, UK (Hybrid) Duration: Initially 6 months Experience – 12+ years of experience mandatory Candidates need to travel to Europe once in a month (European country) Notes: We need someone who doesn’t need visa to travel to Europe 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 Client operational workflows. • Design data architectures 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.