Data Management Team Leader Jobs in Gauteng
- Johannesburg (36)
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Data Engineer Johannesburg
E-merge It Recruitment
Johannesburg
1 000 000 and asset management services have an open role for a Cloud Data Engineer to execute data engineering 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
share this job on whatsappData Scientist Johannesburg
E-merge It RecruitmentJohannesburg
1 000 000 A leader in intelligence automation offering specialised software and services aimed at leveraging advances enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for company's operations. Creating logic links between data from various systems to facilitate cross system business processes. Design and implement automated data comparisons to trigger certain processes. Simplifying
Head Of Data Johannesburg
E-merge It RecruitmentJohannesburg
1 500 000 success is searching for a Head of Data Analysis to be a functional leader and get results through a complete high-performance team. Ensure that the leadership agenda has been embraced by the division/function. Manage performance them accountable for managing the performance of their reports. Contribute to team effectiveness by participating Optimise performance and motivation, empowering team to make decisions and recommend tailored solutions Executive Management 10-15 years Business Management Principles of project management Management information
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
Africa and leaders in providing innovative financial services have an opportunity for a data engineer who ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications design Ensure data governance and data quality assurance standards are upheld Conduct data design, database
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
1 000 000 committed to providing banking, insurance and asset management services. This bank is counted as Africa's biggest lender by assets, they are looking for a Data Engineer to execute data engineering duties according to the complete data architecture across several application platform Analyse data elements and systems, data flow transformation and loading of data Build, create, manage, and optimise data pipelines, move data pipelines into production enable data consumers to utilise data for reporting purposes Create data tooling, enabling data consumers
Senior Data Engineer Randburg
E-merge It RecruitmentRandburg
1 400 000 scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
900000 businesses are in search of a Data Engineer with the capabilities of utilising data, machine learning, statistical the effective use of data by utilising cutting-edge technologies and model data preparation. Responsibilities: Responsibilities: Build statistical models Manage the development of credit policies, credit queues and affordability strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement processes Monitoring/Calibration of models Effective self-management and teamwork Qualifications: Degree in Computer
Data Scientist Johannesburg
E-merge It RecruitmentJohannesburg
800 000 in this pursuit they are in need of a passionate Data Scientist ready to design, prototype, and build by applying strong expertise in machine learning, data mining and conducting information retrieval within Develop actuarial / statistical models to enable data driven decision making. Identify appropriate models insights into member behaviour. Employ advanced data analytics and machine learning techniques to detect databases and data flows between systems. Ability to create dashboards, reports and data visualisation
Data Engineer Centurion
E-merge It RecruitmentCenturion
850 000 Leaders in the insurance field are growing their data space and are seeking to appoint an innovative innovative, adept, Data Engineer to join their team of Data Experts. As a Data Engineer, you will be responsible current workloads, optimize our data warehouse builds, data pipelines, and data products If this sounds like Azure) Azure Synapse Azure Data Lake Terraform ETL Data warehousing Data modelling Are You Qualified (Computer Science, Engineering, or similar) 3 years in a Data Engineering role or related field The Reference
Data Scientist Johannesburg NEW
E-merge It RecruitmentJohannesburg
950000 third-party risk management are on a recruitment drive for a Data Scientist to apply data mining techniques statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent as HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements and systems, are understood and adopted relating to data collection, integration and retention requirements
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