FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant / Manager - Dublin

<p><span><span><span><b>FS Technology Consulting – AI and Data – Data Engineer -  Senior Consultant / Manager - Dublin</b></span></span></span></p> <p><span><span><span> </span></span></span></p> <p><span><span><span><b>General Information</b></span></span></span></p> <p><span><span><span><b>Location: </b>Dublin, Cork or Galway. </span></span></span></p> <p><span><span><span><b>Available for VISA Sponsorship:</b> NO</span></span></span></p> <p><span><span><span><b>Business Area: </b>Data &amp; Analytics</span></span></span></p> <p><span><span><span><b>Contract Type: </b>Full Time - Permanent</span></span></span></p> <p><span><span><span> </span></span></span></p> <p><span><span><span>EY is the only major professional services firm with an integrated Financial Services practice across Europe, the Middle East, India and Africa (EMEIA). We connect our Asset Management, Banking and Capital Markets and Insurance clients to 6,500 talented people from 12 countries and 35,000 Financial Services colleagues around the world.</span></span></span></p> <p><span><span><span> </span></span></span></p> <p><span><span><span>In EY FS Ireland, we are expanding our Consulting practice and building our Technology Consulting team as a key component of our <em>All In</em> Strategy. </span></span></span></p> <p><span><span><span><em>All In</em>  is EY’s global strategy and ambition to create  long-term value to all stakeholders by leveraging data and technology. It is designed to integrate transformative solutions across EY’s services, ensuring a comprehensive approach to our clients’ needs.  We are actively recruiting high achieving individuals with technical data expertise within Financial Services: Banking, Insurance and Wealth and Asset Management.</span></span></span></p> <p><span><span><span>We are seeking an experienced Data Engineer with a strong background in supporting business and analytics teams in Financial Services industry by designing, developing and operating robust data pipelines.  The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight and Stream Analytics. Core Azure SQL, MSSQL server. They will also have understanding of the underlying data flow architectures, will have supported finance, operations, privacy &amp; security, compliance &amp; regulatory projects in the past, have a functional understanding of the data sets used in the relevant business domain(s) they supported, as well be adept at data sourcing, data wrangling, issue gap and root cause analysis, ETL and implementing data solutions for effective process change and improvement strategies. Experience is agile software delivery is a must. </span></span></span></p> <p><span><span><span> </span></span></span></p> <p><span><span><span><b>Your Key Responsibilities</b></span></span></span></p> <ul> <li><span><span><span><span>Design, implement, and manage robust data pipelines and solutions for core systems and applications. </span></span></span></span></li> <li><span><span><span><span>Collaborate with IT and business teams to understand business and technical requirements in order to identify, prioritise and document data requirements for management and business insights. </span></span></span></span></li> <li><span><span><span><span>Design, build, and maintain data solutions that transform raw data into structured formats suitable for analytics. </span></span></span></span></li> <li><span><span><span><span>Develop and manage ETL processes to ensure effective and efficient data ingestion and transformation. </span></span></span></span></li> <li><span><span><span><span>Analyse and conduct gap analysis in existing data architectures to identify impact areas and design solution options.</span></span></span></span></li> <li><span><span><span><span>Conduct thorough analysis of existing data processes and systems, identifying areas for improvement. Work closely with Data Stakeholders (e.g. Product and System Owners, Technical Leads, Business and Change Leads, Data and Solution Architects) to communicate and influence implementation of the identified technical enhancements.  </span></span></span></span></li> <li><span><span><span><span>Lead performance optimisation identification of data pipeline bottlenecks and areas for improvement. Optimise query performance in data storage solutions and implement best practices for data processes and transformations to enhance the efficiency of ETL workflows. </span></span></span></span></li> <li><span><span><span><span>Implement security measures to protect sensitive data throughout the data lifecycle, including encryption, access controls, and data masking.</span></span></span></span></li> <li><span><span><span><span>Ensure compliance with data governance policies and regulatory requirements, such as GDPR or HIPAA.</span></span></span></span></li> <li><span><span><span><s