BT Group

Data & ML Engineering Principal

Job posted: Aug 19, 2024
Birmingham, Birmingham, United Kingdom
  • Salary average
    -
  • Type of employment
    Full-time
  • Remote
    n/a

Company

Responsibilities

  • Mentors and coaches experienced professionals to develop current and future team capabilities and ensure performance.
  • 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.
  • 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.
  • Leading the evolution of our technical roadmap, introducing new methods and technologies & driving adoption

Contract

40 hours per week

Candidate requirements

  • Mentors and coaches experienced professionals to develop current and future team capabilities and ensure performance
  • Proven ability and experience to develop solutions at scale [MANDATORY
  • Proven experience of DevOps practices and tools [MANDATORY
  • Experience bring ML solutions to production & in life support and maintenance including model drift [PREFERRED
  • Strong understanding of cloud platforms (AWS & GCP) [MANDATORY
  • Understanding of observability tools and concepts
  • Excellent communications skills and a drive to push forward engineering standards and want to be hands on
  • Ability to work with very large streaming data sets and perform complex data transformations
  • Familiarity with data warehousing, data lakes, and cloud-based data storage solutions

Skills used at work

  • Best practice
  • Best practices
  • Contact
  • Data management
  • Data quality
  • Data science
  • Due diligence
  • Management
  • Products
  • Security
  • Systems

Job Req ID: 38000

Posting Date: 19 Aug 2024

Function: Data & AI

Unit: Networks

Location: Snowhill, Birmingham, United Kingdom

Salary: Competitive with great benefits

Career Grade: C

Internal Closing Date: 08/09/24

Location: Belfast or Birmingham - will consider other UK based locations

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

  • 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

About us

BT is part of BT Group, along with EE, Openreach, and Plusnet.

Millions of people rely on us every day to help them live their lives, power their businesses, and keep their public services running. We connect friends to family, clients to colleagues, people to possibilities. We keep the wheels of business spinning, and the emergency services responding.

We value diversity and celebrate difference. ‘We embed diversity and inclusion into everything that we do. It's fundamental to our purpose: we connect for good.'

We all stick to the same values: Personal, Simple, and Brilliant. From day one, you'll get stuck in to tough challenges, pitch in with ideas, make things happen. But you won't be alone: we'll be there with help and support, learning and development.

This is your chance to make a real difference to the world: to be part of the digital transformation of countless lives and businesses. Grab it.

A FEW POINTS TO NOTE:

Although these roles are listed as full-time, if you're a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

DON'T MEET EVERY SINGLE REQUIREMENT?

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.

Job posted: Aug 19, 2024

Expiration date: Sep 08, 2024