Duties & Responsibilities
A leading FinTech company seeks to fill the role of a Data Engineer with a knack for data analysis to join its team.
It is a remote role that includes data manipulation, modelling, and being responsible for the understanding of inter-dependencies between various data sources and business processes involving data flow.
You will also be involved in designing and building data management solutions using the software and other tools.
DUTIES:
- The configuration and implementation at 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 databases 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.
- 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.
REQUIREMENTS:
Qualifications –
- Tertiary degree in BSc Computer Science, B.IT or Informatics related Degrees, Mathematics, Applied Mathematics, Actuarial Science or an Engineering Degree.
Experience/Skills -
- Understanding and working experience in data integration and transformation.
- Information and Technology services industry experience.
- Data Analysis, modelling and surfacing.
- Data Cleaning / Integrity Checking.
- SQL, SSIS, database scripting (stored procedures, user-defined functions, queries, triggers).
- Present information using data visualization techniques (such as QlikView, Power BI and Tableau).
- Experience of creating reports using Excel or equivalent.
- Iterative Testing including debugging and refactoring.
- Constructing data queries by combining multiple data sources.
Advantageous –
- Some experience in a programming language (such as Python).
- Experience of consuming APIs.
- Any sort of ETL or Data Warehousing knowledge.
- Statistical languages (such as R and MATLAB).
- Any experience within Asset Management and Financial Services.
ATTRIBUTES:
- Client oriented.
- Good at problem solving (core to the role).
- Enjoys supporting technical implementations.
- Able to build strong networks and relationships, internally and with clients.
- Can effectively multi-task and manage conflicting priorities, coupled with good attention to detail.
- Aptitude for providing timely and accurate responses to client inquiries and managing client expectations.
- A passion to learn and extend knowledge outside of the work sphere.
- The ability to self-manage and self-motivate.
- Capable of identifying, embracing and initiating change in an agile and fast-paced environment.
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
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