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Data Engineer

Blue Desk Recruitment
1 day ago
Full-time
Remote
South Africa
Web Development

Introduction

An international finech company is lookiing for a data engineer to work remotely

 

You need to meet all the requirements to apply- they are very strict regarding what they are looking for.

 

They want asset management experience meaning financial / investment asset management - NOT financial services experience (environments)

 

My client has a young and dynamic team of skilled Data Engineers who assist clients from both a support and project perspective. In both cases it involves interacting with the software (fundamentally a toolkit) which allows them 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 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.

 


 

 

Duties & Responsibilities


The configuration and implementation of or bespoke software 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 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)

 

The candidate will report to QA & Data Engineering Manager


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

Desired Experience & Qualification

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

 

Industry Experience
Information and technology services
Asset management and financial services (distinct advantage)

 

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) 

 

The candidate will report to QA & Data Engineering Manager

 

 

 

Package & Remuneration

R18-25k CTC

Remote work