Client Support Data Engineer (Remote) at Datafin Recruitment

ENVIRONMENT:

• 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.
• The successful incumbent must preferably possess a BSc/B.IT in Computer Science/Informatics/Actuarial Science or similar field with a solid understanding & work experience in data integration and transformation.
• You must have experience with Data Analysis, modelling, surfacing, Data Cleaning/Integrity Checking and be able to utilise data visualization techniques such as QlikView, Power BI & Tableau.

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-faced environment.  
• Execute assignments against deadlines.