DATA ENGINEER | JOHANNESBURG R1,000,000 CTC PER ANNUM Our client is a leading full-service commercial Bank, is looking for a Data Engineer to join their team. The company operates across ten African countries, the UAE and UK, with representative offices in China, India and Lebanon. Theyre evolving to redefine the power of relationship. JOB MISSION: The Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. You will also collaborate with other technical teams and business stakeholders to ensure our data management practices align with business goals and industry standards. This position involves working effectively with the business units with the primary mandate of enabling them with insights and decision support capabilities to drive good quality business decisions. As a Data Engineer, you will also be responsible for researching and implementing new technologies and methodologies to improve our data infrastructure and processes. You will also be expected to mentor and coach junior team members and contribute to the development of our data engineering strategy and roadmap. REPORTS TO: Senior Manager: Data Engineering YOUR DAY TO DAY Operational Delivery: Gathers business requirements, executes projects and derives business insights Collects data and builds fit for purpose dashboards and reports based on requirements Troubleshooting of data issues and providing fit for purpose solutions with data engineering best practices Complete projects/tasks assigned or working with other staff (internal /external) and following up on assigned projects/tasks Partnering with business stakeholders to unpack data management requirements and design for future requirements based on future needs Collaborate with stakeholders across the organization to ensure data quality, accuracy, and security Lead and manage a team of data engineers responsible for designing, building, and maintaining robust data infrastructure and systems Data Engineering: Design and implement robust Extract Transform Load (ETL) frameworks and processes. Design and implement robust data integration strategies and processes. Develop and implement data management (architecture and integration) policies, procedures, and best practices Manage data engineering projects and ensure timely delivery of high-quality results Develop and implement databases, data collection systems and enable data analytics Acquire and integrate data from different sources and enable integrated reporting Recruit, train, and mentor data engineering team members to promote growth and professional development Requirement MINIMUM ROLE REQUIREMENTS: A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce Certification advantageous (SQL, Data Engineering, Architecture, Ab Initio etc.) 4-7 years of experience in data engineering or a related field Data warehousing and integration experience warehousing Ability to perform complex data analysis and data deep dives Excellent visualization skills and data storytelling capability Ab Initio experience of the ETL (GDE), Express>IT, Metadahub SQL experience inclusive of SSAS, SSRS and SSIS advantageous Strong knowledge of data management concepts and technologies, including data modeling, ETL, data, and data visualization Knowledge of business processes, IT processes, data, and associated applications Experience analysing and breaking down problems and information using structured frameworks and methodologies. Robust skills in documentation creation with a high attention to detail including planning and organization. Ability to think analytically and conduct customer-facing communications OTHER COMPETENCIES: Technical Competencies: Data Warehousing Data Analyses Programming Data Mapping Dashboarding and Reporting SQL Behavioural Competencies: Accountability Teamwork Interpersonal Support Perseverance Motivating Prioritisation Analytical Thinking Communication skill
