Mace Group on cord

Mace Group

Head of Data and Analytics

External position
London, UK
Hiring internally for Mace Group?
Construction · Consultancy
Shaping the built environment. Leading the way to a more connected, resilient and sustainable world.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
13 hours ago

Skills & Experience

Job roles: Head of Data
Experience level: Senior, Lead, Leadership
Core skills considered: Data Architecture, Data Pipelines, Data Warehousing, Data Modeling, Data Analysis
Other skills considered: Cloud Computing, Azure, Power BI, Machine Learning, Agile

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

The Head of Data Engineering and Analytics leads the engineering, analytics, and business intelligence capability that turns enterprise data strategy into reliable, scalable delivery. Reporting to the Global Head of Data, the role is accountable for building and operating trusted data platforms, pipelines, models, and analytics products that support operational decision-making, client services, digital products, automation, and AI. The role combines technical leadership with strong business engagement, establishing common engineering standards, prioritising demand, and building a high-performing, globally distributed delivery capability.


Responsibilities

  • Managing the design, development, operation, and continuous improvement of the organisation's data platform, data warehouse, integration pipelines, semantic models, reporting, and analytics services.
  • Translating the global data strategy and target architecture into an executable engineering and analytics roadmap, aligned with business priorities and measurable value.
  • Establishing and enforcing engineering standards covering solution design, coding, testing, release management, observability, documentation, resilience, security, and cost efficiency.
  • Creating trusted, reusable data products and common datasets that reduce duplication and support consistent enterprise reporting, client insight, digital services, and AI-ready use cases.
  • Owning the intake, prioritisation, and delivery of engineering, BI, and analytics demand, balancing strategic change, project delivery, and business-as-usual requirements.
  • Partnering with Data Governance, Enterprise Architecture, Cyber Security, Digital Product, IT Operations, and business leaders to embed quality, lineage, access controls, privacy, retention, and regulatory requirements by design.
  • Managing, developing, and organising a high-performing team of data engineers, BI developers, analysts, and delivery partners, using an effective right-shored operating model.
  • Managing strategic suppliers and technology partners, ensuring clear accountability for quality, pace, service performance, knowledge transfer, and value for money.
  • Acting as the senior technical authority for data engineering and analytics, providing clear advice, resolving delivery blockers, and communicating complex topics credibly to senior stakeholders.

Requirements

  • Significant leadership experience across enterprise data engineering, data platforms, BI, analytics, or related disciplines in a complex, global organisation.
  • Proven delivery of modern cloud-based data platforms, data lakes or warehouses, integration patterns, ETL/ELT pipelines, semantic models, and analytics solutions.
  • Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous.
  • Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production support.
  • Experience managing blended onshore, nearshore, offshore, and supplier teams, with clear accountability for outcomes and service performance.
  • Ability to translate business needs into practical technical solutions, challenge complexity, prioritise investment, and communicate effectively with senior stakeholders.
  • Experience working with enterprise platforms such as ERP, HR, CRM, finance, and project delivery systems. Construction, consulting, or professional services experience is beneficial.
Head of Data and Analytics at Mace Group
Position posted a week 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
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