innovative financial services have an opportunity for a Data Engineer who will take responsibility for driving 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 to the approved solution design Ensure data governance and data quality assurance standards are upheld
We are looking for an experienced Data Engineer / BI Developer who is proficient in Microsoft SQL and technical ones. Report curation and data modelling. Participation in data warehouse design. Design, develop maintain ETL processes. Ensure data quality and integrity across the data warehouse and BI solutions. Optimize Monitor and troubleshoot ETL jobs to ensure timely data load and accuracy. Creating technical documentation relevant work experience. You have 5-8 years hands-on Data Engineering / BI development experience You are
genius with a love for Data and who is passionate to achieve better things for Data . If you are looking chance to leverage your skills in a Big Data and high volumes of Data that needs to be scalable. Everything that is passionate to achieve better things for Data. This is what you need to land an interview: You
paths, and ensure team buy-in. Ensure accurate capturing and approval of debtors/creditors, including invoice invoice approvals. Ensure accurate capturing and approval of sales invoices to customers and from farms Ensure all reviews and financial activities are captured accurately and timely. Ensure payments are allocated allocated correctly and timely. Ensure payments in the bank are loaded correctly and on time. Prepare and manage Manager on financial matters. Ensure accurate capturing on all financial information platforms, including
partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry industry expertise to help our clients turn data into insights, streamline operations, improve customer insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI
partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry industry expertise to help our clients turn data into insights, streamline operations, improve customer insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI
reconciliations for all bank accounts and send them to the HOF for review. Conduct monthly bank reconciliations Record payments in TourPlan once released on the banking system. Review and report on outstanding items submitting to the HOF. Review and report on over-captured vouchers in TourPlan before submitting to the peak seasons to support the creditors' team with capturing tasks across business units. This role involves
departments. The day to day capturing and maintenance of inventory data in Pastel Evolution and undertakes departments for accurate stock control, Responsible for capturing of the weekly stock takes at various departments
departments. The day to day capturing and maintenance of inventory data in Pastel Evolution and undertakes departments for accurate stock control, Responsible for capturing of the weekly stock takes at various departments
partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry industry expertise to help our clients turn data into insights, streamline operations, improve customer insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI