upbeat company that helps clients understand the rich data collected from the traditional retail market in and Africa broadly are in the market for a Junior Data Engineer . The ideal candidate will have a strong background to help drive value from the company's data, this person will wear many hats in the role with the development team, data analysts and BI analysts to help build and maintain data flows that supports the back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
Developer to provide specialist advice and support on data analyst delivery, methods and techniques; enabling enabling the construction, maintenance and expansion of data analysis. The successful candidate will be required Produce business insights and recommendations based on data analysis and modeling concluded and where relevant Spark and Kafka Coach and mentor other data scientists Promote data literacy with your business stakeholders a direct result of the data solutions provided Stay ahead of the curve on data science trends and leading
retail customer base. Currently searching for a Data Engineer that will be responsible for driving, designing ETL systems for a big data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Experience and understanding in designing and developing data warehouses according to the Kimball methodology
Analyst, you will play a pivotal role in driving data-driven decision-making within the organisation. for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform trends, patterns, and correlations. Conduct thorough data validation and quality assurance procedures to ensure Power BI, or similar) to create interactive data Translate data insights into actionable recommendations opportunities for optimisation and innovation based on data-driven insights. Performing regular investigations
specialist firm is on the lookout for a dynamic Senior Data Engineer to spearhead the creation and implementation technologies. If you're a seasoned expert in finance and data with a drive for innovation, seize this chance to driving force of innovation and excellence as a Senior Data Engineer. Don't miss out on this thrilling opportunity—apply to new heights Experience and knowledge Excellent data analysis and exploration using T-SQL, and strong procedures, functions) Knowledge and experience of data warehouse modelling methodologies Experience in
of an Intermediate Data Engineer . You will play a crucial role in leveraging data-driven insights to Mathematics, or a related field 4 years of experience in data analysis, machine learning, and predictive modelling or SQL Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be Cloud) Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with data visualization tools and develop metrics for measuring the success of data science initiatives Reference Number for this position
Developer with expertise in C# and experience in data ETL/ELT, who will play a crucial part in designing designing and implementing data ETL/ELT pipelines using tools such as Azure Data Factory, Azure Databricks similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization Familiarity with data integration patterns and techniques for handling structured and unstructured data formats
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side
understanding of object-oriented programming (OOP) concepts, data types, variables, and control structures in C#. relational database management system (RDBMS) for data storage and retrieval Proficiency in TypeScript (Object-Relational Mapping) tool for database interaction and data access Knowledge of creating and consuming RESTful