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Job Specification: Senior Consultant – Data Engineering (Analytics & AI)
Location: London, UK (or flexible)
Service Line: Strategy and Transactions
Firm: EY-Parthenon
Role Overview
EY-Parthenon is looking for a motivated Senior Consultant to join its Analytics & AI practice, with a focus on Data Engineering.
This role is ideal for someone with a strong commercial and technical foundation as well as a curious, problem-solving mindset, who is passionate about working with data to support pre-deal and post-deal engagements. You will play a key role in building, shaping, and managing data assets where data is often incomplete, complex, and fragmented.
You will work closely with client teams to prepare, structure, and transform data, enabling better decision-making during transactions and helping clients unlock value.
Key Responsibilities
Support the project team in day-to-day activities throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, testing, documentation, implementation, and user training
Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets
Work independently or with a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment with the support of Directors and Partners
Work directly with clients as well as other EY specialist teams to develop formal deliverables for clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations
Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed
Manage stakeholders’ expectations in relation to deliverables
Identify risk on the assignment, involving Engagement Manager/ Director / Partner appropriately in its resolution
Take ownership of your tasks and work collaboratively with members of different grades within and across teams
Skills & Experience
Core Experience
Approximately 2–5 years’ experience in data engineering, data analytics, or related fields, ideally in a consulting or in-house strategy environment
Experience working with large and complex datasets, ideally in structured databases and distributed systems like Databricks
Exposure to transaction support or fast-paced delivery environments is beneficial
Experience of financial reporting, and an understanding of basic corporate finance and accounting concepts
Technical Skills
Experience in building and managing data pipelines and data models
Strong working knowledge of data processing and transformation tools and languages
Experience working with structured and unstructured data sources
Familiarity with modern data platforms and cloud environments is advantageous
Mindset & Approach
We are looking for individuals who:
Are curious and hands-on, with a strong desire to explore and understand data
Enjoy working with messy, imperfect datasets and finding ways to make them usable
Are comfortable learning new tools and approaches quickly, based on what the situation requires
Thrive in fast-paced, deal-driven environments, where priorities can shift quickly
Take ownership and show initiative in solving problems
Are motivated by delivering practical outcomes, not just technical outputs
Consulting & Communication Skills
Ability to explain technical concepts in a clear, structured way
Strong problem-solving and analytical thinking skills
Willingness to engage with stakeholders and understand business context
Qualifications
Degree in a relevant field (e.g. Computer Science, Economics, Mathematics, or similar) or equivalent experience
Key Attributes
Ability to work with clients and model users, identify their particular use case requirements, design appropriate solutions to load data, perform complex calculations, derive corollaries and deliver interface tools to provide repeatable visual output
Strong business acumen and technical knowledge to translate commercial problem into data requirement and formulate analytics solution
Strong oral and written communication skills – including experience of writing reports, drafting presentations and developing data visualisation dashboards to effectively communicate EY’s advice to clients
Capacity to communicate the business and non-technical implications of technical roadblocks and technical design decisions to non-technical clients
Experience in managing projects, from defining requirements, designing project plans, and managing performance against plan through the project lifecycle
Experience working with large datasets (creating databases, architecting efficient structures, and writing optimised stored procedures & queries)
Experience in building models in R, and Python programming languages and libraries in a client-facing role
Visually creative, with a good understanding of UX aesthetics
Ideally you'll also have some of the following:
Experience of financial reporting, and an understanding of basic corporate finance and accounting concepts
Experience of working in a professional services environment, including exposure to high profile transactions
Knowledge and experience relating to one or more specific sectors is preferred
Experience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSense
Experience in SQL (any variant), Alteryx, MS Excel and VBA
Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate problems such as predictive forecasting, prescriptive action, capacity planning.
Experience of working in teams, managing the workload of junior team members, and coaching junior staff
What EY-Parthenon Offers
Exposure to high-impact deal environments and strategic projects
Opportunity to work with clients across industries
Strong focus on learning and development in both technical and consulting skills
A collaborative and fast-paced team environment
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