Data Engineering Specialist

6 days ago


Sector, India BT Group Full time

Why this job matters: At BT, our ability to deliver brilliant, personalized experiences for all our 30m customers is fundamental to our future success. As a business we are investing extensively in the automation of our operations and networks, and in building our Base Management capabilities. Data driven automation and decision making has never been more important. Data Science & AI will create a new data capability for Consumer to allow us to create the best personal experiences for all our customers across all channels and drive Commercial Revenue. Key Responsibilities: Data Engineering Specialist lead within their Squad; including coaching and mentoring other engineers within the Alliance ensuring all adhere to Engineering standards and best practice; facilitating workshops and running training sessions where needed Ensure both self and others take responsibility for achieving brilliant customer and business outcomes through high-quality execution, collaboration, and a focus on continuous improvement. Design and build data products and data pipelines that are cost effective, performant and resilient. Build both batch and NRT data pipelines. Ensure all data products delivered and maintained to a high quality, accurate, secure, and always adhere to data protection policies. Support Data Product documentation, including clear and comprehensive user guides, and runbooks to aid control and knowledge transfer. Operational maintenance of all data products SKills & Experience: Experience with CI/CD setups and infrastructure as code frameworks (ideally Terraform or OpenTofu) Experience with open-source big data frameworks (ideally Spark, Apache beam, or Apache Flink) Experience in Integration technologies like Kafka, API, Pub/Sub Experience with NRT data pipelines is highly desirable High proficiency with SQL, Python and one of Scala/Java Strong experience of cloud environments (ideally GCP) in the following areas. SQL and noSQL databases Orchestration tools Big data and ETL services Serverless compute services Experience with K8 and cloud networking is desirable but not required Strong data management and data architecture experience Strong understanding of data security and compliance processes Strong communication skills and ability to articulate complex technical concepts to both technical and non-technical stakeholders at all levels, written and verbal Excellent stakeholder management skills, planning skills and the ability to prioritise demand in line with business and commercial requirements. Strong experience leading / coaching and mentoring Experience working in Agile Our leadership standards Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation. Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making. Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best.



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