Data Lead for AI-Driven Analytics & Pipelines

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

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.