Data Engineer - MRO AI Solutions

Data Analyst / Data Engineer – MRO AI Solutions 6-Month contract – Inside IR35 – market rate London Heathrow based – hybrid working – 2 days a week on site Role Purpose The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions, embedded within operational teams. The role focuses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Key Responsibilities • Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance • Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases • Challenge data provenance and assumptions in legacy datasets, reframing against current needs • Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders • Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust • Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics. • Support the adoption of MRO AI Solutions within operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes. • Design, build, and optimise data pipelines for ingestion, transformation, and storage. • Ensure data quality, integrity, and security controls are applied across systems. • Apply cloud and data‑engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over‑engineering • Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Core Data Analytical Capabilities • Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision‑making • Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation • 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 Supporting Data Engineering Capabilities • Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design • Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. • Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. • (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) • (Preferred) Hands-on experience with cloud platforms, ideally AWS Consulting-Level Competencies • Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. • Ability to design enterprise-grade data solutions under tight timelines. • Strong stakeholder engagement and solution-oriented mindset. • 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. • Familiarity with airline or logistics data domains is a plus.