Deals Real Assets, Data Engineering & Digital Solutions,Senior Associate

Line of Service

Advisory

Not Applicable

Capital Projects

Senior Associate

A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, will provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short,we’rea part of helping some of the world’s leading companies and governments across many industries originate, create, execute, andrealizevalue.

The Real Assets teamadvisesgovernments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of our team, you’ll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities, enabling clients to optimize capital programs, ensure project success, and navigate constrained budgets or challenging situations.

As a Deals, Real Assets Senior Associate – Data Engineering & Digital Solutions, unlock your potential and embrace the chance to drive meaningful outcomes that’llelevate your career. Your role will include, butisn’tlimited to:

• Data Engineering & Pipeline Development
• Architect, design, and develop robust, end-to-end data pipelines utilizing
  
  Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Design and implement data models within Azure Data Lake,leveraging
  
  Medallion Architecture and building complex business logic into scalable, efficient transformations
• Develop processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, flat files, and project management systems
• Automate data workflows and implement CI/CD practices for data pipelines using Azure Dev Ops or Git Hub Actions to ensure quality and rapid deployment
• Monitor, troubleshoot, andoptimizedata solutions for performance, scalability, and cost-effectiveness
• Proactivelyidentifyand resolve performance bottlenecks in data pipelines, data partitioning strategies, and cost-control measures across Azure data services
• Lead the development, build, and maintenance of internal tools and applications using Python, including Generative AI modules, automation scripts, and data processing pipelines to enhance the team’s advisory capabilities on capital projects
• Design, develop, andmaintaincustom web-based dashboards and interactive reporting tools using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Flask, Dash,Streamlit)
• Integrate AI-driven solutions into project advisory workflows (e.g., document analysis, benchmarking, risk identification, schedule analytics)
• Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation
• Participate in reviewing and validatingproject schedules and budgets,forecasting ofproject performance, and performing project risk assessments,monitoring and control.
• Assistin the preparation of proposals and development of opportunities for the CP&I practice
• Work closely with project advisors, data analysts, and business stakeholders to understand their data requirements and deliver high-quality data solutions
• Perform site visits and inspections as needed
• May require work on site, including travel to remote locations

• Relevant years of experience in data engineering, software development, or a related technical role (internships, co-ops, and academic projects count)
• Exposure to or interest in capital projects, engineering consulting, project management, or construction management environments is an asset
• Ability to troubleshoot and problem-solve, with a willingness to work through ambiguous or unfamiliar technical challenges and an openness to learning new tools and adapting how you work
• Proficiencyor working knowledge of Python with the ability to develop tools, create reusable scripts for data analysis, and build data processing pipelines
• Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks
• Understanding of or exposure to data pipeline development concepts, including…