Xperts: Senior Java Engineer (Data Engineering)

Inspired Testing; Cape Town; On-site; ZAR 720,000 - 960,000; Full time

Job summary

Inspired Testing is seeking a Senior Java Engineer (Data Engineering) in Cape Town, Western Cape. This hybrid position requires a blend of hands-on engineering and technical leadership, focusing on large-scale data migration and transformation solutions across enterprise platforms.

The ideal candidate will have over 8 years in data or software engineering, strong Java skills, and experience in building large-scale ETL pipelines. Knowledge of cloud environments and containerization is essential, making this an exciting opportunity for experienced engineers.

Qualifications

• 8+ years in data or software engineering.
• Strong Java expertise, Scala/Python beneficial.
• Experience in building large-scale ETL/data pipelines.
• Knowledge of distributed systems and cloud (AWS, GCP, Azure).
• Experience with Kubernetes and containerised environments.
• Solid understanding of data architecture and security.

Responsibilities

• Design and deliver data migration and transformation solutions.
• Build scalable batch and streaming pipelines.
• Implement data validation, lineage, and testing frameworks.
• Ensure monitoring, observability, and performance.
• Lead technical design and support delivery.
• Mentor engineers and drive best practices.
• Collaborate with cross-functional stakeholders.

Skills

Java

Data Engineering

ETL Pipelines

Spark

Distributed Systems

Cloud

Kubernetes

Data Migration

Tools

Apache Spark

Hadoop

Kafka

Prometheus

Grafana

Job description

Role: Senior Java Engineer (Data Engineering)

Location: Cape Town, Western Cape (Hybrid)

Engagement: Permanent / Full Time

Role Overview

Senior Data Engineer required to deliver large-scale data migration and transformation solutions across enterprise platforms.

Blend of hands‑on engineering and technical leadership, working on distributed systems at scale.

Key Responsibilities

• Design and deliver data migration and transformation solutions
• Build scalable batch and streaming pipelines
• Implement data validation, lineage, and testing frameworks
• Ensure monitoring, observability, and performance
• Lead technical design and support delivery
• Mentor engineers and drive best practices
• Collaborate with cross-functional stakeholders

Required Experience

• 8+ years in data or software engineering
• Strong Java expertise (Scala/Python beneficial)
• Experience building large-scale ETL/data pipelines
• Knowledge of distributed systems and cloud (AWS, GCP, Azure)
• Experience with Kubernetes / containerised environments
• Solid understanding of data architecture, security, compliance

Desirable

• Apache Spark / PySpark
• Hadoop ecosystem (HDFS, MapReduce)
• Streaming platforms (Kafka, Kinesis)
• Modern data formats (Parquet, Avro, Iceberg)
• Observability tools (Prometheus, Grafana)

Key Skills

Java | Data Engineering | ETL Pipelines | Spark | Distributed Systems | Cloud | Kubernetes | Data Migration