Data Engineer

Become part of a vibrant, quality-focused team that leverages trust and autonomy to deliver exceptional services to diverse, high-growth clients. Receive recognition for your committed, results-producing approach to problem-solving, and opportunities for learning to realise your own passion for personal growth. All while working with some of the country’s most exciting growing businesses - from local entertainers, gin distilleries and ice-cream parlours, to enterprises revolutionising traditional spaces like retail, property and advertising or treading on the cutting edge of fintech.

At Creative CFO (Pty) Ltd, we provide companies with the best financial tools and services to plan, structure, invest and grow. We believe that innovative solutions are an interconnected web of small problems solved brilliantly. By walking through all the financial processes for each company and solving problems along the way, we have developed a full-service solution that business owners really appreciate.
We are committed to solving the challenges that small business owners face. Accounting and tax is one part of this, but we also cover business process analysis, financial systems implementation and investment support. We unlock value by creating a platform through which business owners can manage and focus their creativity, energy and financial resources.

As a Data Engineer at Creative CFO, you will be at the forefront of architecting, building, and maintaining our data infrastructure, supporting data-driven decision-making processes.

We are dedicated to optimising data flow and collection to enhance our financial clarity services for high-growth businesses. Join our dynamic and rapidly expanding team, committed to building a world where more SMEs thrive.

To be successful in the role you will need to:Build and optimise data systems:

• Design, construct, install, test, and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.

Expertly process data:

• Develop batch processing and real-time data streaming capabilities.
• Read, extract, transform, stage, and load data to selected tools and frameworks as required.

Build data Integrations

• Work closely with data analysts, data scientists, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Collaborate with data analytics and BI teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organisation.

Be versatile with technology

• Exhibit proficiency in ETL tools such as Apache NiFi or Talend and a deep understanding of SQL and NoSQL databases, including Postgres and Cassandra.
  Demonstrate expertise in at least one cloud services platform like Microsoft Azure, Google Cloud Platform/Engine, or AWS.

Focus on quality assurance

• Implement systems for monitoring data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Have a growth mindset

• Stay informed of the latest developments in data engineering, and adopt best practices to continuously improve the robustness and performance of data processing and storage systems.

Key skills & qualifications:

• Bachelor’s degree in Statistics, Data Science, Computer Science, Information Technology, or Engineering.
• Minimum of 2 years of professional experience in a Data Engineering role, with a proven track record of successful data infrastructure projects.
• Proficiency in data analysis tools and languages such as SQL, R, and Python.
• Strong knowledge of data modeling, data access, and data storage techniques.
• Proficiency in at least one of Microsoft Azure, Google Cloud Platform/Engine, or AWS Lambda environments.
• Familiarity with data visualisation tools such as PowerBI, Pyramid, and Google Looker Studio.
• Excellent analytical and problem-solving skills.
• Effective communication skills to convey technical findings to non-technical stakeholders.
• Eagerness to learn and adapt to new technologies and methodologies

Relevant experience required:

• Previous roles might include Data Engineer, Data Systems Developer, or similar positions with a focus on building and maintaining scalable, reliable data infrastructures.
  
• Strong experience in API development, integration, and management. Proficient in RESTful and SOAP services, with a solid understanding of API security best practices
• Experience in a fast-paced, high-growth environment, demonstrating the ability to adapt to changing needs and technologies.

Vibrant Community 

• Be part of a close-knit, vibrant community that fosters creativity, wellness, and regular team-building events.
• Celebrate individual contributions to team wins, fostering a culture of recognition.

Innovative Leadership

• Work under forward-thinking leadership shaping the future of data analytics.
• Receive intentional mentorship for your professional and personal development.

Education and Growth

• Receive matched pay on education spend and extra leave days for ongoing education.
• Enjoy a day's paid leave on your birthday - a celebration of you!

Hybrid Work Setup

• Experience the flexibility of a hybrid work setup, with currently one in-office day per month.
• Choose to work in a great office space, if preferred.

Professional and Personal Resources

• Use the best technology, provided by the company
• Benefit from Parental and Maternity Leave policies designed for our team members.