Posted by EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime
Financial Services Data Engineer
Job Description:
We are currently seeking highly motivated people for our Advisory practice, which is a leading provider of services to the banking and insurance sector as well as large corporates in other industries. You will build valued relationships with external clients and internal peers and contribute to the growth of our team. Bringing experience and insight on one or more disciplines, you will shape solutions to a range of client challenges in risk management and finance IT for the Banking industry. Working in this creative environment, you will be given the opportunity to take responsibility and work on challenging projects for major clients in Greece as well as major financial institutions abroad.
Skills and attributes for success
Strong analytical, problem solving and critical thinking skills
Good organizational and time management skills with the ability to prioritize and complete multiple complex projects under tight deadlines
An ability to interact with teams at all hierarchical levels
Excellent interpersonal skills and ability to work effectively within a team
Strong attention to detail with a logical and methodical approach
Excellent business acumen and commercial awareness
To qualify for the role you must have
Excellent academic background, including at a minimum a bachelor’s and preferably a master’s degree in Computer Engineering, Software Engineering, Information Technology/Systems, Data Science or other related field with strong quantitative focus.
Relevant working experience in the fields of data management, data integration, Business Intelligence and reporting, including analysis, design, implementation, integration and maintenance would be considered an asset.
Specifically, the candidate should demonstrate:
Proven experience in database development using Microsoft SQL Server or Oracle
Advanced programming skills using T-SQL or PL/SQL
Knowledge of data warehousing and dimensional modelling
Experience in ETL technologies like SSIS or Talend
Basic database administration and performance tuning skills