NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer Advisor to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Data Platform Engineer - Azure
Overview:
Cornerstone is the UK’s leading mobile and digital infrastructure provider, managing over 15,700 sites and holding 35% of the market. Our Mission is to be famous for excellence in delivery, embracing transformation with our people and our customers at its heart.
The Data Platform Engineer is responsible for designing, building, and evolving data platforms, pipelines, and models that support enterprise-grade applications and analytics use cases.
Aligned to an outcome-based delivery model, the role ensures data platforms are scalable, automated, validated, and production-ready, supporting reliable data ingestion, transformation, and modelling capabilities across work packages.
Roles & Responsibilities:
Design and implement scalable data pipelines, ingestion processes, and transformations.
Develop and maintain data models to support analytics, reporting, and application features.
Support integration with enterprise data platforms and evolving data architecture.
Ensure alignment with data governance, security, and enterprise architecture standards.
Collaborate with platform, full stack, and AI engineers to support end-to-end product delivery.
Build and automate data pipelines to support regular refresh cycles and production workloads.
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
Ensure data quality, validation, and integrity through robust testing and monitoring.
Deliver data services, APIs, and models as part of product capabilities.
Support migration and optimisation of existing data processes to scalable, enterprise-grade solutions.
Embed QA practices into data engineering, ensuring all deliverables meet Definition of Done.
Support data observability, troubleshooting, and continuous improvement of pipelines.
Skills:
Strong experience in data engineering including ETL/ELT pipelines and data modelling.
Experience with Azure data services (Azure SQL, Blob Storage, Fabric or equivalent).
Proficiency in Python, SQL, and data processing frameworks.
Understanding of data governance, validation, and versioning.
Experience building scalable, production-grade data platforms.
AI-Assisted Engineering & Development:
Leverage AI-assisted tools to accelerate data pipeline development, transformation logic, and debugging.
Use AI-assisted validation techniques to improve data quality and anomaly detection.
Support adoption of AI-assisted engineering practices within data workflows.
Ensure AI-generated outputs are validated, auditable, and aligned with governance controls.
Continuously assess new AI capabilities to enhance data engineering productivity and quality.
Knowledge & Experience:
Experience building and maintaining data pipelines and data platforms.
Strong SQL and Python programming skills.
Experience working in Agile delivery environments.
Understanding of data modelling, governance, and validation.
Experience delivering production-ready data solutions.
Qualifications:
Degree in Software Engineering, Computer Science, Data Engineering or equivalent experience.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Similar roles you might like
More openings like this one — take a look before you go.
