The Role
We're seeking a
Data Engineer
to design, build, and maintain modern data infrastructure solutions. You'll work within a skilled technical team to develop robust, scalable data pipelines that enable analytics, machine learning, and business insights, collaborating closely with data scientists, analysts, and engineering teams.
Snapshot
Location:
Cape Town, Johannesburg, Remote
Employment Type:
Full-time, Contract
Key Responsibilities
Design and develop
data ingestion and transformation pipelines
for structured and unstructured data.
Ensure
high availability, scalability, and performance
across distributed data systems.
Integrate data from multiple sources into
unified data stores
.
Implement
automation and CI/CD
for data workflows.
Monitor and improve
data reliability, quality, and lineage
.
Collaborate with
data scientists, analysts, and product teams
to support business insights.
Participate in
code and pipeline reviews
and mentor junior engineers.
Skills & Experience
5 - 8+ years
of professional
data engineering experience
.
Proficiency in
Python, SQL, and ETL frameworks
.
Experience with
Spark, Hadoop, Kafka
, or similar distributed data technologies.
Familiarity with
cloud-based data platforms
(AWS, Azure, GCP).
Knowledge of
data warehousing solutions
(Redshift, Snowflake, BigQuery).
Experience with
version control, CI/CD, and pipeline automation
.
Nice to Have
Experience with
Airflow, dbt, or Prefect
.
Exposure to
machine learning pipelines or feature engineering
.
Familiarity with
containerization
(Docker, Kubernetes).
Salary
R60k/month - R150k/month
Culture & Benefits
Collaborative, forward-thinking, and delivery-focused engineering culture.
Discretionary performance-based bonus.