Senior Data Consultant

My client is a global software consultancy helping organisations build modern digital products, evolve legacy systems, and adopt strong engineering practices to improve delivery at scale.

They are seeking a Contract Senior Data Engineer who treats data engineering as software engineering; focusing on quality, operability, and long-term maintainability.

Databricks is the primary platform, and fluency is expected, but the emphasis is on building robust data systems rather than tool-specific implementation.

6-month initial contract

What You’ll Need

• Strong data engineering experience with solid software engineering fundamentals
• Hands-on Databricks experience (Delta Lake, Unity Catalog, Workflows, pipelines)
• Experience with lakehouse / medallion architectures
• Strong SQL + Python + Spark capability
• Familiarity with dbt, data quality tooling, and CI/CD practices

Core Strengths

• Building testable, production-grade data pipelines
• Applying software engineering principles to data systems
• Designing for observability, lineage, and data quality
• Working in cloud environments (AWS or Azure)

AI / ML Data Experience

• Building feature pipelines and ML-ready datasets
• Supporting MLflow-based tracking and lineage
• Experience with embedding / retrieval pipelines and vector data workflows
• Ability to support AI use cases through robust data foundations

Collaboration

You’ll work closely with engineers, data scientists, and client stakeholders, operating within fast-moving delivery environments and balancing technical quality with pragmatic decision-making.

Typical Work

• Modernising and re-platforming legacy data systems
• Building AI-ready data foundations and feature pipelines
• Embedding governance, testing, and data quality into platforms from the ground up