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

Glasshouse Recruiting; Polokwane; Remote; ZAR 500 000 - 700 000; Full time

Job summary

A leading recruitment agency is seeking a Data Engineer in Polokwane, South Africa. The role involves designing and building data management solutions, working closely with clients to understand their data requirements, and employing various programming languages and tools. Candidates must have a degree in a related field and experience in data integration, analysis, and visualization. This position is ideal for analytical individuals with strong problem-solving skills.

Qualifications

• Tertiary degree in relevant field required.
• Understanding of data integration techniques.
• Experience in debugging and refactoring.

Responsibilities

• Configure and implement client's software at various locations.
• Construct end-to-end data service solutions.
• Provide 2nd Tier support and enhancement services.

Skills

Data integration and transformation

Data analysis and modelling

Data cleaning

SQL

SSIS

Excel

Data visualization techniques (QlikView, PowerBI, Tableau)

API consumption

ETL or Data Warehousing knowledge

Statistical languages (R, Matlab)

Education

BSc Computer Science or related degrees

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.

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.