Principal Data and Machine Learning Engineer

Job Details

Job title

Data Engineering Principal         

Reports to (job)

Data & AI Director

Team

NAS Data Team, Networks

Location

UK

Job Dimensions

Data Engineering

Hours

Full time standard

No. Direct Reports

0

Career Level

C

Why BT Group?

We’ve always been an organisation with purpose; we connect for good.   You can trace this back to our beginning as pioneers of the world’s first telecommunications company.  At our heart, we’re a technology company with research and innovation in our bones, and a desire to be personal, simple, and brilliant for our customers - the values we live by. Creating an inclusive working environment where people from all backgrounds can succeed.

Our pursuit of progress over the past 180 years has established BT as a strong, successful brand, with huge scale, capable of achieving great things.  From supporting emergency services, hospitals, banks and keeping economies around the world online, safe, and secure, to delivering large scale innovative technology infrastructure like the creation of BT Sport. 

Today, in this fast changing, always on, digital world, our purpose remains true. Yet the market conditions, regulation and competition we face are tougher than ever before.  So if you have the drive, optimism, and resilience to help propel us forward, we’ll offer unrivalled personal development, a wealth of opportunities to learn, experience new things, and pursue new careers.  If that’s you, and what you’re looking for. 

We’d love you to be part of our future.

Why this job matters

The Data team in NAS helps BT make better decisions. At BT, we know there is huge potential in the vast amount of data available to us and we are looking for talented, innovative and collaborative people to realise that potential safely and radically. The data products we deliver are used across all CFUs. They are fundamental to the live monitoring of our networks, guide the development of the services and products we provide, and improve the day to day experience our customers, specialising in improving their service.

This role pivotal in shaping our data landscape for the future, you’ll be hands on, responsible for building, designing and maintaining our data platforms ensuring they are optimised for efficiency, scalability & reliability turning the most complex business needs into the data and AI solutions that supports Networks data strategy. You’ll work closely with our data scientists, analysts and engineers and work alongside the team leadership including Senior Engineering manager, Product Owner and Architect.

What you’ll be doing – your accountabilities

The skills you’ll need to succeed

·        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

·     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

Leadership accountabilities

Experience you’d be expected to have

·        Inspiring Communicator

·        Collaborative Partner

·        Growth Mindset

·        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]

Key decisions

The BT way

If the job has key decision rights list these here

(see RAPID guidance).

Compliance with all BT policies is mandatory and applies to all BT employees. Policies can be accessed via the Policy Portaland should be adhered to in-line with Standards of Behaviour Policy & Procedure and the Being trusted: our code.