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.