Vodafone on cord

Vodafone

Data Strategy & Engineering Lead

External position
London, UK
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Posted
a month ago
Checked
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8 hours ago

Skills & Experience

Job roles: Data Architect
Experience level: Lead
Core skills considered: Data Architecture, Cloud Computing, Big Data, Machine Learning
Other skills considered: Stakeholder Management, Business Analysis, Scrum

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Digital & IT is a strategic business capability enabling Vodafone to deliver innovative digital products, services, and customer experiences at scale. Achieving this requires an end-to-end, data-led approach across customer journeys, IT systems, and network domains.

The Digital & IT Data Science & Engineering Lead is a critical senior leadership role responsible for establishing data as a strategic product and trusted asset, supporting Vodafone's digital transformation ambitions while ensuring regulatory compliance, operational excellence, and customer confidence. The role is accountable for defining, governing, and delivering end-to-end data, analytics, architecture, and AI capabilities across Digital & IT. Operating at enterprise scale, the role spans commercial data, digital channels, BSS/IT platforms, and network domains, ensuring data supports product strategy, customer experience, operational performance, and regulatory requirements.

Working in close partnership with Product, Technology, and Business leaders, the role will define the Digital & IT data strategy, establish robust data governance frameworks, and embed data-driven decision-making across products, platforms, and services.


What you'll do

  • Define and own the Digital & IT data strategy in partnership with Product leadership, ensuring alignment with product, technology (IT and Networks), and commercial objectives.
  • Establish data, analytics, and AI as core enablers of business growth, customer experience excellence, and operational effectiveness.
  • Define and maintain a clear, prioritised roadmap covering data platforms, analytics, and AI capabilities.
  • Own the end-to-end enterprise data architecture across digital channels, BSS/IT systems, and network domains, in close collaboration with architecture teams.
  • Ensure seamless data integration across customer journeys, IT platforms, and network telemetry to enable insight, automation, and predictive capabilities at scale.
  • Set and govern enterprise standards for data platforms, pipelines, analytics engineering, and AI solutions.
  • Lead the delivery of advanced analytics and AI capabilities from ideation through to production deployment.
  • Ensure all data products, models, and insights are production-grade, governed, monitored, and measured for business value.
  • Drive high-value data and AI use cases across customer experience, product performance, monetisation, network optimisation, and operational efficiency.
  • Ensure data capabilities support the needs of global customers operating across multiple markets and regulatory environments.
  • Apply data sovereignty principles, including data residency, access controls, and processing constraints by design.
  • Ensure compliance with GDPR and applicable regional data regulations across products, platforms, and services.
  • Act as a senior data representative with customers, partners, regulators, and auditors where required.
  • Hold end-to-end accountability for the organisation's data governance framework, including policies, standards, controls, and decision forums.
  • Embed data governance as a living operational practice across Digital & IT and wider business functions.
  • Define and enforce clear data ownership, stewardship, and accountability models.
  • Ensure consistent application of data quality, lineage, access control, ethics, and lifecycle management standards.
  • Define the operating model for Data Science and Data Engineering, including internal teams, strategic partners, and vendors.
  • Influence and align cross-functional teams across Product, Technology, Networks, Operations, and Commercial functions.
  • Build and sustain a culture of accountability, innovation, quality, and continuous improvement.

What are we looking for

  • Senior leadership experience (5+ years) across Data Architecture, Data Science, Analytics, and Data Engineering within large-scale enterprise environments.
  • Deep industry experience (15+ years) spanning Analytics, Digital & IT, Cloud Technologies, and Network/Infrastructure data domains, with a strong understanding of how these areas interconnect.
  • Proven delivery of end-to-end data capabilities, covering customer, commercial, IT, and network-related domains from strategy through execution.
  • Experience designing and scaling modern cloud-based data platforms, including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions.
  • Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing, and event-driven ecosystems.
  • Experience establishing data as a strategic product, enabling business growth, customer value, operational performance, and commercial outcomes.
  • Strong track record in defining and embedding enterprise data governance, successfully operating across multiple functions and organisational boundaries.
  • Expert knowledge of data sovereignty, GDPR, privacy, and regulatory frameworks, with the ability to translate requirements into practical operating models.
  • Experience leading high-performing Data Science, Analytics, and Data Engineering teams, delivering measurable business impact.
  • Knowledge of AI, Machine Learning, and Advanced Analytics delivery, including governance, operationalisation, and value measurement.
  • Strong stakeholder management and executive communication skills, with the ability to influence senior leaders, customers, and external partners.
  • Experience operating within complex global organisations, managing multiple stakeholders, priorities, and regulatory requirement.

Company Benefits

  • We believe that taking care of our employees is the key to their success. That is why we offer an excellent remuneration and bonus package with up to 28 days holiday entitlement, in addition to bank holidays and paid leave for charity projects.
  • We offer an extensive benefits package that can be tailored to suit you and your family, including employee discounts, retail vouchers, pension plan and share schemes.
  • We take pride in our commitment to supporting you at every stage of your career by providing top of the range learning and development tools, market leading parental leave policies and an innovative
  • Reconnect programme for people who have taken a career break.
Data Strategy & Engineering Lead at Vodafone
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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