Financial Services Data Engineer
EY
Athens, GR
πριν από 3 μέρες

The opportunity

We are currently seeking highly motivated people for our Consulting 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
  • Ideally, you will also have

  • Experience in the Microsoft BI stack (SSRS, SSAS, PowerBI)
  • Experience in other business intelligence / data visualization platform (Sap BO, Tableau, QlikView, etc)
  • Professional experience in banking or financial risk management
  • IT-related professional qualifications
  • Experience in object oriented programming and software engineering
  • What we look for

    Building a better working world is our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization.

    We need people worthy of trust, who demonstrate enthusiasm, passion to grow fast and are highly motivated to support this purpose.

    What’s most important is that you’re dedicated to working with your colleagues as part of a high-performing team. You’ll need to demonstrate enthusiasm, high motivation and passion to develop fast in a multinational working environment.

    You’ll need to thrive in picking up new skills and talents as you go, so natural curiosity, a lot of questions and the confidence to speak up when you see something that could be improved are essential.

    If you’ve got the right combination of technical knowledge and communication skills, this role is for you.

    What we offer

    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer :

  • 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.
  • Αναφορά αυτής της εργασίας
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