Data Engineer - Leading Financial Services Provider

Overview

Key Responsibilities:

• Data sourcing, discovery and analytics using Extract, Transform and Load (ETL) and Business Intelligence (BI) tools
• Driving innovation and science in the DQ domain, leveraging the data harvested to correlate, quantify and guide remediation activities through models
• Working collaboratively with project managers, developers, and end-users to deliver working solutions and analytics in an Agile and Iterative manner
• Having direct involvement in the end-to-end System Development LifeCycle (SDLC), from solution requirements gathering and validation activities through to Production deployment
• Solution design
• Hands on analytics & Hadoop experience
• Creating visualisation solutions for presentation of the data

Skills & Qualifications:

• Demonstrable experience ETL and BI tools like Informatica, Pantaho,  Qlik and Tableau
• Experience with programming and data languages such as Python and Profit and Loss / Sequel Server
• Java experience beneficial 
• Experience working with Oracle/ Hadoop, preferably some experience with building User Interface beneficial 
• The ability to prioritise key deliverables
• Proven experience working in a project/programme environment
• Previous experience and understanding of service-oriented solution design and architecture
• End-to-end system development lifecycle SDLC experience
• Preferably experience in a financial domain (Capital Markets, Transaction Banking, Wealth Management)
• Educated to Bachelor’s degree level or equivalent qualification/relevant work experience in computer science
• Certification for use of ETL, BI