

Natobotics
Embedded Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Embedded Business Analyst/Data Engineer in London, offering a hybrid work model. Contract length and pay rate are competitive. Key skills include Python, SQL, AWS, and data engineering experience, preferably in airline or logistics domains.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Data Modeling #"ETL (Extract #Transform #Load)" #Storage #Cloud #API (Application Programming Interface) #Python #Data Quality #SQL (Structured Query Language) #Data Engineering #Data Pipeline #Consulting #Data Architecture #Data Science #Business Analysis #Security #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Scala #Deployment
Role description
Title: Data Engineer – MRO AI Solutions (Embedded in BA)
Location: London
Work Mode: Hybrid
Role Purpose
The Data Engineer will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for BA, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
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 BA 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 BA 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.
Compensation
Premium-level role; competitive rates aligned with UK consultancy benchmarks.
Title: Data Engineer – MRO AI Solutions (Embedded in BA)
Location: London
Work Mode: Hybrid
Role Purpose
The Data Engineer will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for BA, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
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 BA 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 BA 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.
Compensation
Premium-level role; competitive rates aligned with UK consultancy benchmarks.






