FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin at EY

on-site · full-time · Visa sponsorship

Apply for this role at EY

Responsibilities:
- Design, build and operate scalable data pipelines (ETL/ELT) using Azure Data Factory, Azure SQL, Synapse, Data Lake and related services.
- Transform raw financial-services data into analytics-ready models and maintain data quality and lineage.
- Collaborate with business, analytics and IT teams to capture data requirements, prioritise use cases and document data flows.
- Troubleshoot data issues: perform root-cause analysis, gap assessments and implement remediation.
- Implement CI/CD for data solutions, automate deployments via Azure DevOps and support runtime monitoring and alerting.
- Contribute to data governance, security and compliance activities (privacy, regulatory reporting) across projects.

Requirements:
- 3+ years' hands-on experience in data engineering, preferably in Financial Services or consulting.
- Strong Azure experience (Azure SQL/MSSQL, Data Factory, Synapse, Data Lake) and proficiency in SQL and Python.
- Practical knowledge of data modelling, ETL/ELT patterns, and data pipeline design for analytics workloads.
- Experience with cloud data platforms (Databricks, Snowflake) and big-data processing (Spark) is an advantage.
- Familiarity with Agile delivery, CI/CD practices and working in multi-stakeholder client engagements.
- Strong communication skills and ability to work across finance, operations, compliance, and technical teams.