Job Description

Your pipelines are the backbone of global scale.
This is more than ETL. Netstock is preparing to scale its customer base 350% over the next three years--and your data engineering will make it possible. From building out a scalable data lake to engineering robust pipelines across APIs, internal metrics, and customer analytics, this role is equal parts architecture, automation, and optimization. You'll work closely with infrastructure, analytics, and compliance to ensure data quality, integrity, and readiness for ML-driven innovation. Join a remote-first team backed by global reach and local autonomy--where scale, intelligence, and purpose intersect.
Skills & Experience:
SQL and NoSQL (PostgreSQL, MySQL, MongoDB)
Big data frameworks (Hadoop, Spark, Hive)
Python, Java, Scala
Data pipeline tools (Kafka, Airflow, NiFi)
Cloud tech (AWS, GCP)
ETL/ELT design and automation
Strong grasp of data security, privacy, and compliance (ISO27001)
Familiarity with containerization, messaging queues (Rabbit MQ), and Linux systems
Advantageous: exposure to ML workflows and BI tools
Qualification:
Grade 12 (essential)
Degree in Computer Science/Data Science or related field (preferred)
Contact DYLAN MAWONA on or , quoting the Ref: CTI005579.
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