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