to IT continuum. We are looking for a Project Manager to join the team on an initial 12 month contract at least 8-10 years experience at senior level managing larger and/or complex programmes. It would be person has experience in running projects that are data related at the enterprise level and also have experience
reputable insurance giant who is looking for Data Science Manager to lead their team. The ideal candidate office. Minimum Requirements: Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science advantageous Minimum of 5-7 years of experience in data science or analytics, with at least 2 years in a languages such as Python, R, or SQL. Experience with data visualization tools Strong knowledge of machine algorithms and statistical methods. Familiarity with big data technologies If you are interested in this opportunity
you a dynamic and seasoned project manager with a passion for data-driven initiatives? Do you thrive in cutting-edge projects and help us shape the future of data services. Our client in the Financial Services sector sector is currently looking for a Senior Data Services Project Manager for a 12-month renewable contract role role. Key Responsibilities: Lead Complex Programs: Manage large-scale, enterprise-level projects from inception within budget. Drive Data-Related Initiatives: Spearhead projects involving data integration, transformation
project. The focus in more on the following: Data analytics Data Reconciliations Table Mappings Source to end outputs Data Manager Lead Define Data Lineage Transform Data Can create scripts Raise Data Quality Issues Issues Drive Resolution of data issues Facilitate business requirements on data vs what is on the system/application
project. The focus in more on the following: Data analytics Data Reconciliations Table Mappings Source to end outputs Data Manager Lead Define Data Lineage Transform Data Can create scripts Raise Data Quality Issues Issues Drive Resolution of data issues Facilitate business requirements on data vs what is on the system/application
enterprise standard ETL/ ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure.
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton DevOps 9. Automation Testing 10. IT Project Management 11. Finance, Risk & Compliance 12. Engineering
you will be doing:
these
/>The purpose of the Data Engineer is to leverage their data expertise and data related technologies
technologies, in line with the company Data Architecture Roadmap, to advance technical thought leadership for the
purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure
intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning
and solutions around big data that support the company strategy to become a data driven organisation.