Senior Data Engineer

Job Spec: .
Data Engineer
Candidates needs to travel to Europe once in a month (European country)
Duration: Initially 6 months
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 modelling 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.