Data Lead - Client Technology

EY; Wrocław; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Continuous learning

Flexible work options

Diversity & inclusion

Leadership development

Job summary

EY Global Delivery Services (GDS) is seeking a senior data engineer to design and implement robust data pipelines for analytics, ML and autonomous agent workflows. You will own complex data models and semantic layers while collaborating across departments to deliver AI-driven value.

This role involves leading data integration, quality, and governance efforts, with a focus on scalable, secure data access and industry-leading standards.

Qualifications

• Batch processing design for high-volume transactions.
• Data integration across structured and unstructured sources.
• Data quality review and cleansing practices.
• Streaming systems for fast data ingestion.

Responsibilities

• Own design and implementation of ETL/ELT processes for analytics and AI.
• Produce high‑complexity data models and semantic layers.
• Collaborate with teams to define business value and AI use cases.
• Lead data pipelines for analytics, ML and autonomous agent workflows.
• Review data quality, integration and migration for governance and reliability.
• Provide leadership to the work group with clear roles and tools.
• Analyze trends like agentic AI and cloud computing for business impact.
• Maximize efficiency and value from data engineering efforts, researching market developments.
• Build strong relationships with peers to develop leading data solutions.
• Drive consistency in data engineering standards and processes.

Skills

Batch Processing

Data Integration

Data Quality

Stream Systems

Tools

Azure Data Factory

BODS

IBM DataStage

Informatica

Power BI Dataflows

SAP Data Services

Databricks

Spark

Hadoop

Kafka

MapReduce/Hive

Storm

Zookeeper

Job description

Location: Wrocław/ Katowice - 2 days in office / 3 days remote

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 high‑complexity data models, semantic layers and feature models, demonstrating strong understanding of data modelling standards to ensure high‑quality, AI‑ready and reusable data assets.
• Working with departments across the business to help define and deliver business value, including AI‑driven 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

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 it’s produced, in any format, and at any quality.

Ideally, you’ll 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

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well‑known brands from across the globe. We’ll introduce you to an ever‑expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow‑up actions. Any misconduct should be reported through the EY Ethics Hotline.