Data Engineer (Remote Position) - Cape Town, Western Cape

Glasshouse Recruiting; Mbombela; Remote; ZAR 400 000 - 600 000; Full time

Job summary

A data management firm in Mpumalanga is seeking a Data Engineer to be responsible for data integration and management solutions. The ideal candidate will have a degree in Computer Science or related fields, along with strong skills in SQL and data visualization tools. This position involves liaising with clients, enhancing data reliability, and automating workflows. Candidates should be analytical problem solvers passionate about data analysis.

Qualifications

• Experience with data cleaning and integrity checking.
• Ability to present information using data visualization techniques.
• Experience in programming languages is advantageous.

Responsibilities

• Configuration and implementation of client's software.
• Understand business requirements and data needs of clients.
• Construct end-to-end data service solutions.

Skills

Data integration and transformation

Data analysis and modelling

SQL and database scripting

Data visualization techniques (QlikView, PowerBI, Tableau)

Problem solving

Self-management and motivation

Education

BSc in Computer Science, B.IT or Informatics

Tools

Excel

SQL

SSIS

Job description

Technical Skills

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

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)

Industry Experience

Information and technology services

Asset management and financial services (distinct advantage)

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

Thrive in an agile environment

The main purpose of this position

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 client's software at their 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 data bases 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.

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.

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