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Data EngineeringBusiness IntelligenceAzure Data ServicesPower BISQL
Requirements
Requires significant leadership experience in enterprise data engineering and cloud-based platforms, specifically within the Microsoft ecosystem. Must demonstrate the ability to establish engineering standards and communicate complex technical topics to senior stakeholders.
Job Description
Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.
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.
You’ll Be Responsible For
Safety first - Going home safe and well: We champion a safe, diverse and inclusive working environment, understanding the importance of wellbeing in every team.
Client focus - Deliver on our promise: We own the quality of deliverables, strategic outcomes and build long term relationships with our clients.
Integrity - Always do the right thing: We influence positive outcomes within our industry, while always aligning with our compliance obligations.
Create opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organisation.
We are also open to discussing part time, flexible, and hybrid working options if suitable with-in the role.
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.
You’ll Be Responsible For
- 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.
- 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.
Safety first - Going home safe and well: We champion a safe, diverse and inclusive working environment, understanding the importance of wellbeing in every team.
Client focus - Deliver on our promise: We own the quality of deliverables, strategic outcomes and build long term relationships with our clients.
Integrity - Always do the right thing: We influence positive outcomes within our industry, while always aligning with our compliance obligations.
Create opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organisation.
We are also open to discussing part time, flexible, and hybrid working options if suitable with-in the role.
Skills
Data EngineeringBusiness IntelligenceAzure Data ServicesPower BISQLCloud Data PlatformsETL/ELT PipelinesSemantic ModelingDevSecOpsStakeholder ManagementTechnical LeadershipData GovernanceAI/MLOracleStrategic PlanningVendor Management
About Mace
Mace Consult launched as a new and independent business on 5 March 2026, through a carve-out from Mace Group. Mace Consult and Mace Construct are now two independent businesses following the completion of a majority investment in Mace Consult by Goldman Sachs Alternatives. Mace Consult will continue to grow and develop under the Mace name, leveraging the strength of the brand’s global reputation in delivering exceptional programme and project delivery. Mace Construct will rebrand later in 2026. Until Mace Construct rebrands, we will continue to post news, views and achievements from both businesses on this LinkedIn account. Learn more about the transaction and what this means for the future of Mace Consult on our website.
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