Data Engineer

2 months ago

Cape Town, Saudi Arabia Creative CFO Full time

The position:

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.
  • Build high-performance algorithms, prototypes, predictive models, and proof of concepts.

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.

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