Data Engineer

Role: Data Analyst / Data Engineer – MRO AI Solutions (Embedded in BA)

Location: Waterside, Heathrow (Hybrid work and Travel to Europe occasionally)

We at Coforge are looking for Data Analyst / Data Engineer in Waterside, Heathrow.

Role Purpose

The Data Engineer / Data Analyst 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

• Discover, connect to, and process data from various sources: relational databases, flat files (CSV, XML, XLS), etc.
• Identify and remediate data quality and completeness issues.
• Challenge data provenance and assumptions in legacy datasets compared to current needs.
• Translate business needs for data presentation and narrative into non-technical KPIs, charts, and dashboards.
• Create metadata and documentation for all derived outputs.
• Collaborate with Data Scientists and Visualisation specialists to enable advanced analytics.
• Support integration of MRO AI solutions into BA 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 (Power BI, 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