The Team

Established in 1976, Cundall has grown to become a global, multi-disciplinary consultancy, with almost 1,000 people working across 21 offices, in the UK, EMENA and Asia Pacific. We have a clear vision; to become thought leaders in our industry, whilst remaining true to the values that have always underpinned our success.

This is a fantastic opportunity to join a leading and diverse Engineering Consultancy working across numerous disciplines and locations across the globe. Responsible for leading the company data functions including implementing and owning a new Data Lakehouse, Data Architecture and R&D. We are looking for an experienced data engineer with experience across data governance, assurance, architecture, analysis and reporting, and offer an opportunity to shape how our company uses data, in a highly visible position.

The Role

Primary Responsibilities

  • Lead the company data function, responsible for all operational management of data systems
  • Set out the function strategy & roadmap and lead data transformation and change programmes
  • Development and deployment of enterprise data and analytics capabilities
  • Manage Stakeholder relationships at all levels across the business and understand and align their data requirements
  • Be the authority on the value of enterprise information assets and the analytics used to create insights for both decision making and business wide reporting
  • Define information strategy practices and ensure the ongoing relevance of the information strategy in collaboration with the CIO, and Global Head of IT

    • Business Accountabilities

  • Lead the company data function, responsible for all operational management of data systems
  • Set out the function strategy & roadmap and lead data transformation and change programmes
  • Development and deployment of enterprise data and analytics capabilities
  • Manage Stakeholder relationships at all levels across the business and understand and align their data requirements
  • Be the authority on the value of enterprise information assets and the analytics used to create insights for both decision making and business wide reporting
  • Define information strategy practices and ensure the ongoing relevance of the information strategy in collaboration with the CIO, and Global Head of IT

    • Management and Operational Accountabilities

  • Organise and lead a data and analytics centre of excellence. Define member responsibilities and accountabilities for both
  • Develop the enterprise’s capacity to develop insights with advanced analytics. Develop data science competencies and resources within the business for the corporate exploitation of big data sets and sourced data as well as opening access to hidden/unexplored data, using a combination of open source, cloud and other tools and techniques for data analytics, machine learning, mining and visualisation.
  • Lead the development, publication and maintenance of the corporate information architecture, as well as a roadmap for its future development that matches and supports business needs
  • Measure master data and reference data for compliance to policy standards and conceptual models. Assure the deployment and management of data quality monitoring practices.
  • With the IT Leadership, oversee the integration and staging of data, and the development and maintenance of the data lakes, data structures and data lineage, for use by analysts throughout the organisation
  • Partner with the supply chain to scan the horizon for emerging management tools, skills, techniques and technologies, and ensure their timely introduction for competitive advantage
  • Facilitate the evolution to self-service analytics and data preparation
  • Lead on application data integrations, utilising APIs and Azure toolsets

    • The Skills

    A bachelor’s or master’s degree in computer science, data science, information science or related field, or equivalent work experience. Academic qualification or professional training and experience in financial or accounting areas are also desirable.

  • Azure (Data Lake, Key Vault)
  • Kimball Data Modelling
  • Databricks (SQL, Python)
  • Azure Synapse Analytics (Serverless, Pipelines)
  • Power BI Modelling & Visualisation

    • Cundall values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.