Data Engineer (Remote Position) - Cape Town, Western Cape

Das ist der Job

The Data Engineer will also be involved in designing and building data management solutions.

Darum lohnt es sich

Technical Skills: • Tertiary degree in BSc Computer Science, B.IT or Informatics related degrees, Mathematics, Applied Mathematics, Actuarial Science or an Engineering degree • Understanding and working experience in data integration and transformation • Data analysis, modelling and surfacing • Data cleaning / Integrity checking • Experience of creating reports using Excel or equivalent • SQL, SSIS, database scripting (stored procedures, user defined functions, queries, triggers) • Iterative testing including debugging and refactoring • Constructing data queries by combining multiple data sources • Present information using data visualization techniques (such as QlikView, PowerBI and Tableau) • Experience of consuming APIs (advantageous) • Some experience in a programming language (advantageous) • Any sort of ETL or Data Warehousing knowledge (advantageous) • Statistical languages (such as R and Matlab) (advantageous) Industry Experience: • Information and technology services • Asset management and financial services (distinct advantage) Attributes: • A passion to learn and extend knowledge outside of the work sphere • Good at problem solving (core to the role) • The ability to self-manage and self-motivate • The ability to communicate clearly with clients and the team • Be a Team player • Be adaptable • Be able to efficiently and effectively plan and structure tasks • Thrive in an agile environment The main purpose of this position: This is an exciting opportunity for a highly analytical person with a knack for data analysis.

Duties & Responsibilities: • The configuration and implementation of client’s software at their various clients. • Understand the business requirements of clients, the focus being the research and investment process of these Asset Managers. • Construct end to end data service solutions. • Liaise and Interface with clients in a support role, providing 2nd Tier support and enhancement services. • Understand and manage the client’s data requirements, the data being specific to the financial markets. • Contribute towards a team that develops, constructs, tests and maintains architectures (such as data bases and large-scale processing systems). • Ensure data architecture will support the requirements of the client’s business. • Employ a variety of languages and tools (e.g. scripting languages) to marry systems together. • Recommend ways to improve data reliability, efficiency and quality. • Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive modelling. • Automate work by using process flow tools. • Provide feedback to the Development team regarding new functionality and issue logging. • Creation of user interfaces allowing users to upload their own data.

Involving manipulation, modelling and being responsible for the understanding of inter-dependencies between various data sources and business processes involving data flow. There will also be elements of integrating with data science tools allowing business users to visualise their data.