Job Description

I'm currently working with a global consultancy to hire Data Engineers to join a growing Advanced Technology team delivering large-scale data solutions across public and private sector clients.

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This is a hands-on role where you'll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making.

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What you'll be doing

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- Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark
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- Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue)
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- Contributing to data architecture, modelling, and best practices across modern data platforms
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- Deploying and maintaining solutions using CI/CD and Infrastructure as Code (Terraform, CloudFormation)
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- Collaborating with analytics, AI, and product teams to deliver high-quality,



reliable datasets
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What they're looking for

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- Strong experience in data engineering or large-scale data platforms (3+ years)
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- Proficiency in Java or Python
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- Hands‐on experience with streaming technologies (Kafka / Flink preferred)
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- Good understanding of distributed systems and cloud platforms (AWS ideally)
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- Experience with CI/CD, Docker, Kubernetes, and contemporary DevOps practices
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Why consider this role?

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- Exposure to modern cloud and streaming technologies
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- Strong career progression within a global organisation
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- Collaborative, innovation-focused engineering culture
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Please note: This role requires eligibility for UK security clearance (5 years UK residency).

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📌 Data Engineer (New South Wales)
🏢 Anson McCade
📍 New South Wales