<p><strong>The Mission:</strong><br />
Data is a game-changer. It&rsquo;s all around us. Implementing a uniform approach as to how we manage data throughout the bank allows us to enhance the customer experience, lower IT operational costs, and swiftly and correctly report to external regulators.<br />
Data management can help our customers and our organization unlock new potential and realize our shared vision of becoming a next generation digital bank.</p>

<p><br />
<strong>Your Day-to-Day:</strong><br />
Contributing to lifecycle management of Data Lake implementations for different regions/ countries/ domains by:<br />
 Analysing the environment and source of records<br />
 Understand the concepts and the business value of the data that is processed.<br />
 Defining Logical Data Model and Physical Data Model<br />
 Maintaining the existent architecture of the solution and building the new requirements following the structure<br />
 Propagating metadata to the Information Governance Catalogue and assign assets to terms<br />
 Perform tests and validate all data flows and prepare all ETL processes according to business requirements, based on IBM BDW<br />
 Contributing to end-to-end testing<br />
 Contributing to deployment of code changes, mappings and metadata<br />
 Mentoring and guiding less experienced team members<br />
Occasional travelling to Amsterdam, Netherlands, might be required</p>

<p><br />
<strong>What you bring to the team</strong><br />
 Experience with ETL processes<br />
 Experience with database design, modelling and data analysis on large amounts of data<br />
 Good knowledge of Oracle Database, SQL, PL/SQL<br />
 Experience with IBM InfoSphere DataStage and QualityStage Operations Console<br />
 Experience with IBM Information Governance Catalog<br />
 Experience as developer of multi-tier applications<br />
 Ability to translate functional and non-functional requirements (e.g. Security, High Availability)<br />
 Experience with pair programming, release automation<br />
 Basic knowledge of Java<br />
 Experience with Hadoop and knowledge of scripting on Unix systems is a plus<br />
 Understanding of Agile - Scrum methodology is considered a plus<br />
 Excellent written and spoken English skills</p>
