Data Architect

at  Egis Group

Company Description
Egis is a leading global consulting, construction engineering and operating firm. We work together with our clients, across every aspect of transport, energy and the built environment to build a more balanced, sustainable and resilient world. The Egis Group has over 50 years’ experience and a team of 19,500 employees in over 120 countries around the world. Joining our Group means, above all, sharing our values as a people-first company, strongly committed to sustainability and innovation.
In the UK we’re proud to be delivering some of the most iconic projects which help connect people, protect our environment and meet emission reduction targets. From motorways to tramways, nuclear power plants to smart cities, clients choose us to help them solve their most complex challenges - delivering climate-responsible growth that meets the needs of communities, industry, and the planet.
Job Description
We’ve formed a Joint Venture project called Connect Plus Services (CPS) to work with our partners to widen, operate and maintain the M25 under a 30-year contract and are looking for Data Architect to develop, manage and lead our corporate data strategy. As a data architect you’ll be crucial in delivering solutions for the digital data lake in project and you’ll be pivotal in supporting and enhancing our newly established data governance framework.
As a Data Architect, you’ll be crucial in delivering solutions for the Digital Data Lake in the JV. You’ll develop solutions for specific business needs, understand business requirements, and review solution impacts. You will be accountable for the data architecture of the M25 IT systems and a roadmap of activities aligned with architectural principles to improve long-term architecture. We are looking for a self-starter who can work independently while collaborating with business teams as needed.

QUALIFICATIONS

• A previous experience of coordination of small technology teams
• Capability to understand and pre-empt business requirements.
• Capability of translating business requirements in technology solutions
• Presenting skills.
• Engaging senior level stakeholders and obtaining buy-in.
• Proven experience in developing and leading corporate-level data strategies.
• Extensive hands-on experience with complex data modelling, particularly for Power BI reports.
• Strong strategic thinking and problem-solving skills, with the ability to influence data-related decisions at the highest levels.

The following technologies are essential, and a good familiarity is required, including development methodologies and related programming languages (SQL, scripting) skills.

• Amazon AWS environment.
• Redshift
• Power BI (authoring and administration)
• MS SQL Server family (development and administration)
• Fundamentals of networking and Microsoft Entra ID

Familiarity with the following technologies is desirable but not essential.

• Power Apps
• ESRI ArcGis
• Microsoft 365 Platform
• Lambda
• R or Phyton for data science

Additional Information

KEY RESPONSIBILITIES:

Develop and lead data strategy:

• Formulating and executing a comprehensive corporate-level data strategy that aligns with business objectives and drives organisational growth.
• Identify opportunities for leveraging data to achieve business goals and enhance operational efficiency.
• Data Modelling for Business Intelligence:
• Design, develop, and maintain complex data models to support business intelligence initiatives, with a strong focus on Power BI reporting.
• Ensure data models are scalable, reliable, and optimised for performance to facilitate insightful and actionable business analytics

Data Governance:

• Collaborate with cross-functional teams to support the implementation and ongoing management of the data governance framework.
• Define and enforce data governance policies, standards, and best practices to ensure data quality, consistency, and security.
• Strategic Thinking and Decision Influence:
• Provide strategic insights and recommendations to influence data-related decisions at the corporate level.
• Partner with senior leadership to integrate data strategy into broader business strategies and initiatives.

Stakeholder Engagement:

• Engage with key stakeholders to understand data needs, gather requirements, and deliver tailored data solutions.
• Communicate complex data concepts and strategies to non-technical audiences in a clear and compelling manner.