Data Engineer - Senior - Consulting

Position: Data Engineer - Senior - Consulting - Location OPEN
Location:

Anywhere in Country

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.

At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who are teamed to deliver our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

** The opportunity*
* The Products and Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers, and software engineers enable our clients to solve their most complex product challenges and positively impact people and the world.  Engineers are problem solvers.

While most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in delivering the product and platform outcomes that our customers expect.

In this role, you will design and build AI and analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

** Your key responsibilities*
* As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:

+ Designing, building, and operating scalable on-premises or cloud data architecture.

+ Analyzing business requirements and translating them into technical specifications.

+ Optimizing data flows for target data platform designs.

This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.

** Skills and attributes for success*
* To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:

+ Ability to work with both technical and business stakeholders.

+ Prior experience leveraging LLMs or other GenAI tooling.

+ Proven ability to work across cross-functional teams.

+ Proven ability to work with ambiguity or when requirements are lacking/changing.

+ Owns a problem from raw source through pipeline, model/analysis, and production handoff.

+ Checks bias, leakage, sample size, and whether a metric actually answers the question.

+ Writes tested, versioned, observable code - not one-off notebooks that only run on a laptop.

+ Strong analytical and decision-making skills.

+ Proficiency in cloud computing and data architecture design.

+ Experience in data integration and security.

+ Ability to manage complex problem-solving scenarios.

** To qualify for the role, you must have:*
* + A Bachelor's degree required (4-year degree) in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.

+ Typically, no less than 2 - 4 years relevant experience.

+ Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.

+ Cloud Computing Architecture

+ Data Architecture Design and Modelling

+ Data Integration

+ Data Security

+ Ontology Design

+ Software Engineering

+ Data Quality

+ Database Management

+ Semantic Layer

+ Building and Managing Relationships

+ Client Trust and Value

+ Communicating With Impact

+ Hybrid Collaboration

+ Complex Problem-Solving

+ Critical Thinking

** Ideally, you'll also have:*
* + A passion for delivering commercial software products and platforms to market

+ Deeply technical and constantly in a state of learning

+ Able to communicate clearly and…