Our client in the Banking Industry is looking for a Data Engineer, where you'll service over 100 clients daily, ensuring critical data operations run smoothly. Leverage your expertise in SSIS and SQL to tackle complex data challenges in a high-pressure environment. Engage in innovative projects that allow you to introduce and implement new tools and technologies within the team. Work in a close-knit, collaborative environment where mutual support is key to success. Enjoy the flexibility of remote work, with minimal mandatory office days, promoting a healthy work-life balance. Report to experienced Data Dev Managers who provide strong technical guidance and support. Thrive in a youthful, energetic team that balances hard work with fun activities and team-building events.

Job Purpose:

To support and maintain the data warehouse in line with the data model; metadata repository and to provide business intelligence analysis through performing strategic and operational support.

Job Responsibilities

• Contribute to a culture conducive to the achievement of transformation goals by participating in building initiatives (e.g. staff surveys etc).
• Participate and support corporate social responsibility initiatives for the achievement of key business strategies.
• Identify and recommend opportunities to enhance processes; systems and policies and support implementation of new processes; policies and systems.
• Deliver work according to customer expectations by prioritizing; planning and implementing requirements.
• Utilize resources by adhering to standards; policies and procedures.
• Align and continuously improve set processes by identifying innovation opportunities.
• Identify and mitigate risk by executing within governance.
• Resolve incidents by logging and tracking through correct channels. Keep abreast of legislation and other industry changes that impacts on role by reading the relevant newsletters; websites and attending sessions.
• Understand and embrace the company vision and demonstrate the values through interaction with team and stakeholders.
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from Managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
• Ensure information is provided correctly to stakeholders by maintaining knowledge sharing knowledge with team.
• Structure data into compliance standards by adhering to metadata governance procedures according to documented standards and formats.
• Manage final transformed data content by complying to prescribed standards for reviewing and publishing.
• Assist/govern population of datamart and metadata repository by complying to standards; systems; processes and procedures.
• Support business units by providing consulting services that delivers data and information relevant to their business
• Contribute to internal/external information sharing sessions by attending formal and informal meetings.
• Manage vendor relationship interactions by conforming to vendor management office guidelines and principles.

Minimum Experience Level

• 8 years relevant experience of which 3-5 years experience is in a data management /business role

Technical / Professional Knowledge

• Cloud Data Engineering (Azure, AWS, Google)
• Data Warehousing
• Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB)
• Programming (Python, Java, SQL)
• Data Analysis and Data Modelling
• Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL)
• Agile Delivery
• Problem solving skills

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Degree in Information Technology or Business Management, Mathematical/Statistics

Essential Certifications

• Data Management (DAMA) Certification, Certification/formal training in relevant technology

Type of Exposure

• Built and maintained stakeholder relationships 
• Client and Relationship Results 
• Developed and Implemented Communications Strategy 
• Improved Processes and Culture 
• Manage internal process 
• Managed Relationships 
• Managed Self 
• Supported Transformation, Change and continued Improvement