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Senior java engineer (data engineering)

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Description

We’re working with an established software consultancy that partners with everyone from startups to global brands, and they’re looking for a Senior Java Engineer with strong data-engineering expertise.

You’ll join an expert team delivering large-scale, production‑grade data projects — data retention, migration and privacy work at petabyte scale — combining hands‑on engineering with technical leadership.

What you’ll do Design and implement large‑scale data migration and transformation strategies across very large datasets Build data‑lineage, validation and testing frameworks that keep migrations accurate and data intact Develop scalable batch and streaming pipelines with parallel orchestration Implement monitoring and observability for pipeline performance and system health Provide technical leadership — mentoring engineers, running code reviews, leading design discussions and removing blockers What you’ll bring 8+ years in software / data engineering, including several years of technical leadership Advanced Java with modern build systems (Gradle or Maven) Proven experience with large‑scale data migration and ETL pipeline development Distributed storage (HDFS, S3 or GCS) and a cloud data platform (AWS, GCP, Azure or Databricks) Hands‑on Kubernetes for containerised data processing A degree in Computer Science, Engineering or equivalent experience Advantageous Scala or Python for data processing, and Apache Spark / Py Spark Hadoop ecosystem, Kafka or Kinesis streaming, and modern data formats (Iceberg, Parquet, ORC, Avro) Observability tooling (Prometheus, Grafana), and data‑privacy / compliance experience (e.g. GDPR)

Working model
Hybrid in Cape Town — around two days a week in the office. #J-18808-Ljbffr

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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