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Senior Consultant, AI & Data, Financial Services, Databricks

Job in London, Greater London, EC1A, England, UK
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2025-12-17
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Location:

London

Other locations:
Primary Location Only

Requisition

At 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.

The EY Financial Services AI & Data Consulting team in London is continuing to grow and develop unique advisory propositions in response to market needs and demand. We fully support the vision for an ecosystem with Data, AI and emerging technology at the core and are now recruiting for new colleagues as part of our strategic investment to help deliver this vision.

We offer the opportunity to join a local team, driving continued growth and success on a global scale, delivering exceptional career experiences and advancing London’s position as a world leader in Financial Services.

Our mission is to deliver AI‑ready Data enabling our Financial Services clients to deliver superior market products and experiences. We are currently looking for exceptional Senior Consultants with strong experience in Financial Services and Data Platform solutions, with a particular focus on Databricks
, to join our team and actively contribute to this mission, locally and globally. Joining the London EY AI & Data team in this exciting period of growth will offer a huge variety of opportunities to make a tangible impact to our clients’ businesses and to your career.

The opportunity

In this AI & Data consulting role, you will work collaboratively with our clients to enhance their ability to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Databricks (and Snowflake where relevant). We provide expertise and delivery across two core areas:

  • Data Architecture & Engineering – Focusing on next‑generation data platforms, architecture and implementation, making data available and trusted to deliver on AI priorities.
  • Data Management & Strategy – Supporting our clients to manage AI & Data Risk, define AI & Data Strategies, design Target Operating Models and enable Data Offices that prove transformational to their business.
Your key responsibilities
  • Work as part of a delivery team on complex Financial Services data transformation programmes. A typical programme can include roles such as target state architecture scoping, data analysis, solution design, and end‑to‑end implementation management. As a Senior Consultant you will be a vital part of the delivery team on any or all of those roles as you develop your practical experiences with Databricks and other Data Platform solutions.
  • Support the development of new EY data solutions and methods that will improve effectiveness and reduce costs of current practices.
  • Support RFP responses as well as thought leadership articles that we issue to the market.
  • Experience in Data Platform Technologies, with emphasis on:
  • Deep understanding of Databricks architecture
    , including Lakehouse concepts, Delta Lake, and data sharing capabilities.
  • Ability to write SQL and/or Python queries for transforming, joining and aggregating data.
  • Experience with Py Spark for distributed data processing.
  • Ability to analyse datasets and generate insights using Databricks analytical tools and features.
  • Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, Power

    BI.
  • Familiarity with MLflow and Databricks‑native functionality for deploying and interacting with Large Language Models.
  • Ability to develop, test and deploy machine learning models within Databricks.
  • Work to ensure internal risk and admin processes are adhered to.
  • Participate actively in the local Financial Services ecosystem, collaborating with our clients, Fin Techs and Universities as we advance London’s position as a world leader in Financial Services.
Skills and attributes for success

We’re looking for people with a passion for delivering data technology solutions that create positive outcomes for customers, regulators and shareholders. You should have advanced problem‑solving skills, relish working in high‑performing teams and an ability to communicate…

Position Requirements
10+ Years work experience
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