Data Engineer - Manager - Consulting

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 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.

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

• Leading workstream delivery and ensuring quality in all processes.

• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.

• Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

• 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 problem-solving abilities.

• Excellent communication skills, with the ability to convey complex information clearly.

• Proven experience in managing and delivering projects effectively.

• Ability to build and manage relationships with clients and stakeholders.

• Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.

• Typically, no less than 4 - 6 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…