Data Engineering Lead Client Technology

At EY were all in to shape your future with help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to EY and help to build a better working world.

Data Engineering Lead - Client Technology

Your key responsibilities

You will be owning the design and implementation of processes to extract transform and load data from disparate sources into a form that is consumable by analytics processes AI and Agentic AI systems for large or more sophisticated projects using advanced technical capabilities

You will take accountability for the production of a suite of highcomplexity data models semantic layers and feature models demonstrating strong understanding of data modelling standards to ensure highquality AIready and reusable data assets.

Working with departments across the business to help define and deliver business value including AIdriven use cases while interfacing and presenting with program teams management and partners to deliver large sophisticated data analytics and Agentic AI initiatives.

Leading the design development and implementation of data pipelines supporting analytics machine learning and autonomous agent workflows reviewing work to ensure high quality scalability governance and secure AI data access.

Evaluating and resolving issues regarding data quality reviews cleansing data integration and migration demonstrating sophisticated technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement efforts

Providing a leadership role for the work group ensuring the appropriate expectations principles structures tools and responsibilities are in place to deliver the project

Analyzing the latest industry trends such as agentic ai cloud computing and distributed processing and inferring potential impact on businesses (short and long-term)

Providing sophisticated technical expertise to maximize efficiency reliability and value from current data engineering processes. Researching and supervising existing client base and industry developments to identify potential new product opportunities from emerging technologies

Developing strong working relationships with peers across engineering collaborating to develop leading data engineering solutions

Driving consistency to the relevant data engineering and data modelling processes procedures standards and may input into the definition maintenance and implementation of technology standards Skills and attributes for success

Skills and attributes for success

To qualify for the role you must have

Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period of time.

Data Integration (Sourcing Storage and Migration) - Capability to design and implement models capabilities and solutions to manage data within the enterprise (structured and unstructured data archiving principles data warehousing data sourcing etc.). This includes the data models storage requirements and migration of data from one system to another.

Data Quality Profiling and Cleansing - Capability to review (profile) a data set to establish its quality against a defined set of parameters and to highlight data where corrective action (cleansing) is required to remediate the data.

Stream Systems - Capability to discover integrate and ingest all available data from the machines that produce it as fast as its produced in any format and at any quality.

Ideally youll also have

Business Information Glossaries Azure Data Catalog Microsoft Purview Business Objects Collibra

Cloud Computing Services Microsoft Azure Google Cloud Platform Amazon Web Services Azure OpenAI Service

Distributed Systems Databricks Spark Hadoop HDFS Kafka MapReduce/Hive Storm Zookeeper

ETL Tools Azure Data Factory BODS IBM DataStage Informatica Power BI Dataflows SAP Data Services

Graph Databases Neo4j Azure Cosmos Stardog

NoSQL Document Stores MongoDB Elastic Search DocumentDB Apache CouchDB

Programming Languages Python SQL Scala R

Relational MPP Databases Snowflake Azure Synapse Analytics Amazon Redshift GCP BigQuery

Relational SMP Databases Azure SQL PaaS MySQL Oracle PostgreSQL SQL Server

Vector Databases & Semantic Search Azure AI Search (Vector Search) ElasticSearch Pinecone Weaviate FAISS Milvus semantic retrieval for RAG architectures

What we look for

Strong analytical skills and problem-solving ability

A self-starter independent-thinker curious and creative person with ambition and passion

Good interpersonal communication teamwork and presentation skills

Customer focused

Excellent time leadership skills

Positive and constructive minded

Takes ownership for continuous self-learning

Takes the lead and makes decisions in critical times and tough circumstances

Attention to detail

High levels of integrity and honesty

What we offer you

At EY well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence Apply today.

To help create an equitable and inclusive experience during the recruitment process please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY 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.