Data Engineer (Remote)
Summary
Data Engineer building end-to-end data solutions and providing 2nd-tier support for asset-manager clients in South Africa. Day to day involves integrating financial-markets data sources, writing SQL/SSIS database logic, cleaning and modelling data, and surfacing it with BI tools like PowerBI, Tableau and QlikView.
This is an exciting opportunity for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and being responsible for the understanding of inter-dependencies between various data sources and business processes involving data flow.
The Data Engineer will also be involved in designing and building data management solutions. There will also be elements of integrating with data science tools
allowing business users to visualise their data.
Key Responsibilities / Accountabilities
The configuration and implementation at our various clients.
Understand the business requirements of our 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 clients 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 clients 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
Technical Skills / Expertise
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)
Preferred Qualifications & Experience:
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
The candidate will also need to have the following 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
Execute assignments against deadlines
Thrive in an agile environment