The Role

This role is part of a team of Data Engineers within the Digital and Technology function, aligned to the Data, Evidence and Performance (DEP) function. It supports enterprise-wide data initiatives across key business areas, including English and Exams, by designing, building and maintaining scalable data pipelines, platforms and reusable data assets. The role enables high-quality analytics, reporting and data-driven decision-making through the development of standardised data models and solutions that align with the organisation s data strategy and corporate data architecture.

The Digital and Technology Directorate leads the British Council s digital strategy and transformation, driving growth, impact and operational efficiency through technology. Organised across Product, Engineering, Operations and Performance divisions, it delivers customer-focused digital products, platforms and services while ensuring accessibility, security and scalability. Within this structure, the Engineering team brings together Architecture, Software Engineering, QA and Delivery expertise to develop and enhance global products and services, champion best practices, and deliver innovative technology solutions through reuse, buy and build approaches.

Main responsibilities

- Designing, building and maintaining complex data pipelines and data flows that integrate operational systems and key data sources, enabling trusted data for analytics, reporting and business intelligence.
- Delivering scalable batch and streaming data solutions aligned with enterprise architecture and engineering standards, while ensuring solutions are secure, resilient and well documented.
- Promoting the reuse of data assets, patterns and data flows across teams to improve efficiency, reduce duplication and support consistent, high-quality data practices.
- Working closely with the English and Exams Data Team and cross-functional teams including Architecture, Product, Delivery, Operations and Performance,



to support strategic programmes and business priorities across English and Exams, while aligning with the enterprise data governance standards and policies defined by the DEP function; championing data engineering best practices, standardisation and continuous improvement, ensuring alignment with organisational data strategy, governance and analytics objectives.
- Contributing to capability building through the creation of technical documentation, training materials and knowledge-sharing resources that strengthen the wider Data Engineering community.

Role specific knowledge and experience

Minimum/essential

- Working knowledge of at least one cloud-based data warehouse platform: AWS Redshift, Azure Fabric/ Synapse, Snowflake, Google BigQuery.
- Create scalable data pipelines to ingest, transform, and serve structured and unstructured data.
- Good working knowledge of SQL and Python for data querying, transformation and processing.
- Design and implement Lakehouse, Data Warehouse, and Medallion architecture solutions.
- Experience with Delta Lake, Parquet, and modern data lake architectures.
- Knowledge of data modelling, performance optimisation, security and data governance.
- Experience delivering enterprise-scale cloud data solutions in Agile environments.
- Experience implementing CI/CD pipelines using Azure DevOps or GitHub.
- Collaborate with business stakeholders, data analysts, architects, and engineering teams to deliver data solutions.
- Data visualisation tools, specifically Power BI or Tableau at an advanced level.
- Experience supporting large change projects/programmes covering digital transformation,



multiple technology architecture domains including integration, application and information.
- Knowledge of core business ecosystems (including HR, Finance, Procurement, Contact Centre Management, Service Management, Marketing, Identity, Sales, and Digital and Technology) and experience of their technology related implementations, including coverage for: Multi cloud infrastructure and network capabilities - covering Azure, AWS, public and private cloud.
- Experience in Cyber Security best practices, ideally within a UK Government context (OWASP, NCSC, ISO27xxx standards) and experience in architecting to GDPR.

Desirable

- Experience in cloud migration, especially to Microsoft Fabric/Azure.
- Advisory or consulting experience
- Experience of leading projects
- Microsoft certified Data Engineer

Education

- Degree in Computer Science, Information Technology, related discipline; or equivalent experience working in a related field.

Professional Qualification and Certification

- Cloud certified Data Engineer (Microsoft, AWS, etc)

Language Requirements

- The British Council systems and global processes operate in English. Written and verbal proficiency in English is required.

Location

Noida, India

Department

Digital and Technology

Contract

Indefinite Contract

Please note that candidates must have the pre-existing, legal right to work in India. Mobility / relocation / visa sponsoring support will not be provided. British Council supports working in current ways such as hybrid working, subject to full approval by line management and conditional upon our ability to provide the appropriate level of service. This may not be appropriate for all roles but can be explored at interview.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Noida)
🏢 British Council
📍 Noida