Data Engineer (Consultant)

Harnham is a specialist in data and analytics recruitment, connecting high-performing contractors with consulting teams. The Consulting Data Engineer role focuses on modernizing data platforms and enabling advanced analytics and ML use cases, requiring a blend of technical execution and consulting skills.

Responsibilities:

• Design cloud-native data architectures to support analytics and AI initiatives
• Build and optimise distributed data pipelines using Spark and modern data tooling
• Lead or support cloud and platform migrations, including best-practice delivery and documentation
• Implement deployment practices including CI/CD patterns and production readiness checks
• Partner with business and technical stakeholders to translate needs into delivered solutions
• Provide clear technical guidance, demos, and knowledge transfer to client teams

Requirements:

• 6+ years in data engineering, analytics engineering, or cloud data architecture
• Strong coding ability in Python or Scala
• Deep experience with Apache Spark and distributed data processing
• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Hands-on experience with a modern lakehouse platform (Databricks experience required)
• Strong communication skills and comfort working directly with clients
• CI/CD experience for data workloads and production deployments
• Working knowledge of MLOps concepts and ML lifecycle needs
• Migration experience from legacy or third-party platforms
• Experience scoping work, managing delivery timelines, and handling scope change