Data Engineer (Junior / Intermediate / Senior)

Communicate Finance; Wes-Kaap; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Communicate Finance is seeking a Data Engineer to design, build, and maintain data infrastructure that supports BI, analytics, reporting, and data-driven decision-making.

You'll work across teams to develop scalable ETL/ELT pipelines, data models, and data warehouses, leveraging cloud platforms and modern data technologies to improve performance and data quality.

Qualifications

• Experience in Data Engineering at Junior, Intermediate, or Senior level.
• Strong SQL and Python skills.
• Experience designing and maintaining ETL/ELT pipelines.
• Solid understanding of data modelling and data warehousing concepts.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Spark, Kafka, or similar big data technologies would be advantageous.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Ability to work effectively within collaborative, cross-functional teams.
• Passion for building efficient, scalable, and reliable data solutions.

Responsibilities

• Designing, developing, and maintaining scalable ETL and ELT pipelines.
• Building reliable and high-performance data platforms and architectures.
• Developing and optimising data models and data warehouse solutions.
• Ensuring data quality, integrity, and availability across multiple systems.
• Working with structured and unstructured datasets from a variety of sources.
• Supporting advanced analytics, business intelligence, and reporting initiatives.
• Collaborating with Data Analysts, Data Scientists, Software Engineers, and business stakeholders.
• Leveraging cloud platforms and modern data technologies to improve scalability and performance.
• Contributing to data governance, best practices, and continuous improvement initiatives.

Skills

SQL

Python

ETL/ELT pipelines

Data modelling

Data warehousing

Cloud platforms

Cross-functional collaboration

Problem solving

Education

Degree or diploma in related field

Tools

Spark

Kafka

AWS

Azure

GCP

Job description

Job Description

As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that supports business intelligence, analytics, reporting, and data-driven decision-making.

Responsibilities may include:

• Designing, developing, and maintaining scalable ETL and ELT pipelines
• Building reliable and high-performance data platforms and architectures
• Developing and optimising data models and data warehouse solutions
• Ensuring data quality, integrity, and availability across multiple systems
• Working with structured and unstructured datasets from a variety of sources
• Supporting advanced analytics, business intelligence, and reporting initiatives
• Collaborating with Data Analysts, Data Scientists, Software Engineers, and business stakeholders
• Leveraging cloud platforms and modern data technologies to improve scalability and performance
• Contributing to data governance, best practices, and continuous improvement initiatives

These opportunities offer exposure to fast-growing technology businesses, established enterprises, and organisations investing heavily in data and digital transformation.

Skills & Experience

• Experience in Data Engineering at Junior, Intermediate, or Senior level
• Strong SQL and Python skills
• Experience designing and maintaining ETL/ELT pipelines
• Solid understanding of data modelling and data warehousing concepts
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Experience working with modern data ecosystems and scalable architectures
• Knowledge of Spark, Kafka, or similar big data technologies would be advantageous
• Strong analytical, problem-solving, and troubleshooting abilities
• Ability to work effectively within collaborative, cross-functional teams
• Passion for building efficient, scalable, and reliable data solutions

Qualification

• Relevant degree, diploma, or equivalent practical experience
• Certifications in Data Engineering, Cloud Technologies, Analytics, or related fields would be advantageous