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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
The role is responsible for 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. It delivers scalable batch and streaming data solutions aligned with enterprise architecture and engineering standards, while ensuring solutions are secure, resilient and well documented. The role also promotes 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, the role supports strategic programmes and business priorities across English and Exams, while aligning with the enterprise data governance standards and policies defined by the Data, Evidence and Performance (DEP) function. It champions data engineering best practices, standardisation and continuous improvement, ensuring alignment with organisational data strategy, governance and analytics objectives. The role also contributes 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
Desirable
Education
Professional Qualification and Certification
Language Requirements
British Council | Pay Band 8
Location: Noida, India
Department: Digital and Technology
Contract: Indefinite Contract
Apply by: Tuesday, Aug 11th (23:59 local time)
Interview Window: TBD
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 new 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.
Job ID: 151897845
Skills:
Apache Airflow, Hadoop, Spark, Apache Beam, Python, Google DataProc, dbt, Google DataFlow, Google Cloud Ecosystem, Google Cloud Storage
Skills:
data products , stream processing , snowflake , Data Modelling, API design, data pipelines, AI and analytics enablement, secure-by-design delivery, workflow orchestration, event-driven patterns, CI CD, performance optimisation, data models, distributed systems fundamentals, access controls, testing strategies, feature flags, cloud data platforms, integration patterns, cost-aware design, observability, reusable data services
Skills:
Gcp, Power Bi, Azure, Python, Sql, AWS, ELT, Etl
Skills:
composer , Gcp, Terraform, Dataproc, Python, DataFlow, Airflow, Pubsub, GCS
Skills:
Data Modelling, Gcp, Oracle Database, Data Warehouse, Azure, Python, Sql, Etl, AWS, Dashboard Report Development, Oracle NetSuite