ADROIT PEOPLE LTDWaterside, UK (Hybrid)
We need someone who doesnt need visa to travel to Europe
Experience 12+ years of experience mandatory
12+ Years of experience required , Excellent AWS experience.
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.
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.
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