Junior Client Support Data Engineer - Fully Remote

The role involves interacting with software which allows the implementation team to build customised solutions and models for clients based on their specific and unique data requirements. This is an exciting opportunity for a highly analytical person with a knack for troubleshooting and client service.

It is a remote role that includes supporting existing implementations through data manipulation, modelling, and being responsible for the understanding of inter-dependencies between various data sources and business processes.

The Client Support Data Engineer may also be involved in designing and building data management solutions using software and other tools.

This person will be required to work closely with clients to ensure that the implementation is supported and SLA requirements are met and report to the Client Support Lead.

Key Responsibilities

The configuration and implementation of software 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 clients data requirements, the data being specific to the financial markets.

Contribute towards a team that develops, constructs, tests and maintains architectures

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

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

Troubleshooting

Problem solving

Data analysis, modelling and surfacing

Data cleaning / Integrity checking

Some experience in a programming language (such as Python)

Experience of creating reports using Excel or equivalent

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)

SQL, SSIS, database scripting (stored procedures, user defined functions, queries, triggers) (advantageous)

Preferred Qualifications & Experience :

Tertiary degree in Statistics, Mathematics, Engineering, BCom, B.IT or Informatics related degrees.

Understanding and working experience in data integration and transformation.

Information and technology services

Asset management and financial services (distinct advantage)

The candidate will also need to have the following attributes :

Client oriented (core to the role)

Good at problem solving (core to the role)

Enjoys supporting technical implementations

Able to build strong networks and relationships, internally and with clients

Able to 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.