What you’ll be doing
• Data Engineering: building robust data solutions across a hybrid architecture.
• Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Defines and implements best practices around systems integration, security, performance and data management.
• Collaborates with internal clients (data science and product teams) and applies expert technical expertise to drive solutions and point of contact discussions.
• Data Quality: Ensure data quality and integrity through automated testing and validation.
• Visualisation: Drive adoption of data visualisation & it’s ability to support data story telling.
• AI Integration: collaborate closely with data scientists to integrate ML models into our data pipelines & platforms.
• Observability: Design and implement observability solutions to monitor data pipelines, platforms, identify issues and optimise performance.
• Data Quality: Ensure data quality and integrity through automated testing and validation.
• Champions the adoption of the MLOps model and processes, driving collaboration with cross-functional teams of business partners, data scientists, data engineers, solutions and data architects to quickly deliver scalable AI solutions, reducing the cost of AI delivery.
• Oversees due diligence processes and the selection of new technologies to support best practices for the MLOps model.
• Monitors the latest technology and market trends related to data science and machine learning operations and artificial intelligence, sharing this knowledge with the team.
• Mentors and coaches experienced professionals to develop current and future team capabilities and ensure performance.
• Leading the evolution of our technical roadmap, introducing new methods and technologies & driving adoption
Skills and Experience
• Data Engineering: Strong proficiency in data engineering concepts, tools and technologies. (Tech stack (AWS/GCP & Hadoop), spark, python, SQL, Kafka, cloud native services). Ability to work with very large streaming data sets and perform complex data transformations.
• Data Management: Knowledge of data governance, data quality, and data privacy standards. Familiarity with data warehousing, data lakes, and cloud-based data storage solutions.
• Data Modelling: Ability to design and implement effective data models to support business processes.
• Observability & DevOps: experience in developing and integrating observability tooling
• AI & ML: experience building pipelines support ML models and integrating AI solutions.
• Story-telling with data: strong skills in building the case for change, drawing on data and analytical techniques where appropriate, and communicating this to business audiences
• Domain expertise: relating to BT Networks products, not limited to Wi-Fi standards, device management, industry measures & regulatory obligations
• Inclusive leadership: Leverages diverse and inclusive thinking to maximise the effectiveness and success of teams, policies, practices, and products
Experience you’d be expected to have
• Excellent communications skills and a drive to push forward engineering standards and want to be hands on. [MANDATORY]
• Proven ability and experience to develop solutions at scale [MANDATORY]
• Proven experience of DevOps practices and tools [MANDATORY]
• Understanding of observability tools and concepts
• Strong understanding of cloud platforms (AWS & GCP) [MANDATORY]
• Leadership and coaching [MANDATORY]
• Stakeholder management [MANDATORY]
• Experience bring ML solutions to production & in life support and maintenance including model drift [PREFERRED]
• Fin-Ops experience [PREFERRED]
Benefits
• 15% on target bonus
• Company car or £5,500 cash alternative
• Private healthcare for self and family
• BT Pension scheme, minimum 5% Employee contribution, BT contribution 10%
• 25 days annual leave (not including bank holidays), increasing with service
• Huge range of flexible benefits including cycle to work, healthcare, season ticket loan
• World-class training and development opportunities
• Option to join BT Shares Saving schemes.
• Discounted broadband, mobile and TV packages
• Access to 100’s of retail discounts including the BT shop
