Data Engineer

Role: Data Engineer Waterside, UK (Hybrid) Notes: We need someone who doesn’t need visa to travel to Europe Duration: Initially 6 months Experience – 12+ years of experience mandatory 12+ Years of experience required , Excellent AWS experience. Data Engineer – MRO AI Solutions Role Purpose The Data Engineer / Data Analyst will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline. Key Responsibilities • Discover, connect to, and process data from various sources: relational databases, flat files (CSV, YML, XLS), etc • Identify and remediate data quality/completeness issues • Challenge data provenance and assumptions in legacy data sets compared to current needs • Translate business needs for data presentation and narrative into non-technical KPIs, charts, and dashboards • Create metadata/documentation for all derived outputs • Collaborate with Data Scientists and Visualisation specialists to enable advanced analytics. • Support integration of MRO AI Solutions operational workflows. • Develop and optimize data pipelines for ingestion, transformation, and storage. • Ensure data quality, integrity, and security across systems. • Implement best practices for scalability and performance in cloud environments. • Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience • Experience in data/business analysis in a product setting • Strong skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) • Strong experience in data processing workflows/tools (SQL, Pandas, etc) • Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases • Comfortable working independently and communicating with non-technical stakeholders • 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. • (Preferred) Expertise in Python, SQL, and modern ETL frameworks. • (Preferred) Hands-on experience with cloud platforms (AWS preferred). • 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. • 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.