Senior Consultant - Data Engineering

Job ID: 1412958933Location: London, GB, SE1 2AFJob Function: Transactions & Corporate Finance (TCF)Employer: EY Global ServicesApply by: 2026-10-12Company: EYAt EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Specification: Senior Consultant – Data Engineering (Analytics & AI)Location: London, UK (or flexible)Service Line: Strategy and TransactionsFirm: EY-Parthenon Role OverviewEY-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 ResponsibilitiesSupport 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 trainingDesign and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasetsWork 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 PartnersWork 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 presentationsExplain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressedManage stakeholders’ expectations in relation to deliverablesIdentify risk on the assignment, involving Engagement Manager/ Director / Partner appropriately in its resolutionTake ownership of your tasks and work collaboratively with members of different grades within and across teamsSkills & ExperienceCore ExperienceApproximately 2–5 years’ experience in data engineering, data analytics, or related fields, ideally in a consulting or in-house strategy environmentExperience working with large and complex datasets, ideally in structured databases and distributed systems like DatabricksExposure to transaction support or fast-paced delivery environments is beneficialExperience of financial reporting, and an understanding of basic corporate finance and accounting conceptsTechnical SkillsExperience in building and managing data pipelines and data modelsStrong working knowledge of data processing and transformation tools and languagesExperience working with structured and unstructured data sourcesFamiliarity with modern data platforms and cloud environments is advantageousMindset & ApproachWe are looking for individuals who:Are curious and hands-on, with a strong desire to explore and understand dataEnjoy working with messy, imperfect datasets and finding ways to make them usableAre comfortable learning new tools and approaches quickly, based on what the situation requiresThrive in fast-paced, deal-driven environments, where priorities can shift quicklyTake ownership and show initiative in solving problemsAre motivated by delivering practical outcomes, not just technical outputsConsulting & Communication SkillsAbility to explain technical concepts in a clear, structured wayStrong problem-solving and analytical thinking skillsWillingness to engage with stakeholders and understand business contextQualificationsDegree in a relevant field (e.g. Computer Science, Economics, Mathematics, or similar) or equivalent experienceKey AttributesAbility 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 outputStrong business acumen and technical knowledge to translate commercial problem into data requirement and formulate analytics solutionStrong oral and written communication skills – including experience of writing reports, drafting presentations and developing data visualisation dashboards to effectively communicate EY’s advice to clientsCapacity to communicate the business and non-technical implications of technical roadblocks and technical design decisions to non-technical clientsExperience in managing projects, from defining requirements, designing project plans, and managing performance against plan through the project lifecycleExperience 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 roleVisually creative, with a good understanding of UX aestheticsIdeally you'll also have some of the following:Experience of financial reporting, and an understanding of basic corporate finance and accounting conceptsExperience of working in a professional services environment, including exposure to high profile transactionsKnowledge and experience relating to one or more specific sectors is preferredExperience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSenseExperience in SQL (any variant), Alteryx, MS Excel and VBAExperience in applying various analytical techniques (e.g. na ve 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 staffWhat EY-Parthenon OffersExposure to high-impact deal environments and strategic projectsOpportunity to work with clients across industriesStrong focus on learning and development in both technical and consulting skillsA collaborative and fast-paced team environmentEY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.