Data Engineer (Junior / Intermediate / Senior)
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Salary
≈ $20k – $58k per year (Estimated)
Location
In office (South Africa)
Seniority
Junior
Employment
Full-Time
First seen by Alion on Oct 7, 2026.
Overview
Company
Impact
Profile match
Communicate Recruitment is a South African specialist recruitment agency that places permanent and contract candidates in finance, IT and engineering roles for clients across South Africa, the rest of Africa and international markets. Beyond placements it offers executive search, recruitment process outsourcing and recruit-to-order resourcing, and it holds a Level 3 B-BBEE contributor rating. Its advertised vacancies, mostly in Johannesburg, include financial managers and controllers, accountants, electrical, structural and mechanical engineers, software, data and cloud engineers, and Salesforce developers.
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
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
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