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
purpose summary: Ensures all supplier invoices are captured accurately and on time To update and maintain the responsibilities of the Finance Department. Capturing creditor's invoices and preparing creditors' recons Responsible for ensuring all supplier invoices are captured correctly Recording of all cash outflows Responsible banking and the analysis and reporting of financial data. Market related
requisitions on to the System. Capturing of Contracts Job Cards. Verifying and Capturing of Plant Diesel Recons handling and processing Cashbook processing (Capturing transaction from bank statements and correctly within the Group. Accounts Payable processing (capturing invoices and Recons). Managing Credit Cards limits requisitions on to the System. Capturing of Contracts Job Cards. Verifying and Capturing of Plant Diesel Recons handling and processing Cashbook processing (Capturing transaction from bank statements and correctly
may include 1 Capture customer invoices with the appropriate vat treatment. 2 Capture suppliers invoices invoices with the appropriate vat treatment. 3 Capture cashbook and do appropriate allocations. 4 Process
income fees to be posted at month end Ensure capturing of trust bank accounts into Sage Ensure trust management Ensure all new/terminated employees are captured correctly. Ie, Accuracy of payroll. Oversee, recon debt council) Ensure accurate upload of payroll data (commission, overtime, incentives) onto payroll
as needed. Schedule and coordinate access for weekend and after hours work with teams and clients. Update
HR Manager Attending to SARS related queries Capturing and allocation of invoices Debtors and creditors File working papers for all the transaction and capture journal entries on Omni Engage in any adhoc admin
written. Flexibility to work occasional evenings or weekends as needed. Physical fitness and dexterity to perform
working hours including working after hours and some weekends. Market related salary. Benfits: Medical aid,
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