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