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Senior Data Engineer

Outsourced CFO

Cape Town

On-site

ZAR 700 000 - 950 000

Full time

Yesterday

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Job summary

A financial consulting firm in Cape Town seeks a Senior Data Engineer to advance its technology vision. This role involves managing data solutions to support organizational goals, ensuring data quality, and delivering impactful visualizations. Candidates should have a relevant degree, 5 years experience in Data Engineering, and skills in cloud-based data warehousing. This full-time position offers opportunities for growth in a collaborative environment.

Benefits

Family first

Integrity matters

Switched on Thinking

Excellence in everything

Growth and success

Qualifications

5 years of progressive experience in Data Engineering or a closely related role.
3 years of hands-on experience designing, implementing, and managing cloud-based data warehousing solutions.
Experience collaborating with non-technical stakeholders to understand business needs.

Responsibilities

Implement and manage data warehousing solutions for analysis and reporting.
Develop and maintain data pipelines that ensure data integrity.
Create visualizations for informed decision-making.
Drive enhancements in data quality and process efficiency.
Ensure systems are maintained and secured at all times.

Skills

Apache Hive

Hadoop

Redshift

Spark

AWS

Apache Pig

NoSQL

Big Data

Data Warehouse

Kafka

Scala

Education

Degree in Data Engineering / Data Analytics / Industrial Engineering

We are seeking a Senior Data Engineer to play a pivotal role in advancing Outsourced CFOs technology vision. This individual will be responsible for executing the vision for the organizations technology solutions and systems ensuring alignment with strategic goals.

The role involves co-designing and implementing innovative technologies that drive operational excellence and support organizational objectives. The Senior Data Engineer will also oversee and execute all data-related systems technologies and procedures ensuring accuracy efficiency and scalability. Ultimately this role is key in propelling OCFOs systems forward as a strategic enabler in achieving the organizations Big Hairy Audacious Goal (BHAG).

Key Responsibilities

Data Administration - Build
- Implement and manage data warehousing solutions ensuring that data is easily accessible for analysis and reporting.
- Develop and maintain data pipelines that ingest and transform data from various sources while maintaining data integrity and cleanliness.
- Build the system development to achieve the BHAG of the organization in a phased manner ensuring that system is in place to achieve the organizations season of growth.
Data Administration - Analyse
- Work closely with head of departments and relevant stakeholders translating complex data into clear visuals for informed decision-making.
- Create compelling visualizations and data solutions that promote a data-driven culture.
- Regularly deliver findings in an accessible manner to facilitate informed decision-making.
Data Administration - Improve
- Ensure a continuous drive for data quality enhancement, data accuracy and process efficiency.
- Identify technology solutions in collaboration with The Head of Data deliver on the organizations growing needs.
Data Administration - Maintain
- Ensure systems are maintained and secured at all times.
- Ensure that system API integration maintains maximum uptime and follows the latest integration and security protocols.
- Implement and uphold robust security measures to ensure the confidentiality and integrity of sensitive data.

Minimum Qualifications

Degree in Data Engineering / Data Analytics / Industrial Engineering / Relevant Field

Minimum Experience

5 years of progressive experience in Data Engineering or a closely related role (e.g., Business Intelligence Engineer, Data Architect)
3 years of hands‑on experience designing, implementing, and managing cloud‑based data warehousing solutions
Experience collaborating directly with non‑technical stakeholders and department heads to understand business needs and translate them into data solutions and compelling visualizations.

Competencies