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Principal Data Engineering Consultant
Job summary
A technology consulting firm in London is seeking a contract Principal Data Engineering Consultant to lead the delivery of data solutions leveraging Azure and Databricks in an agile environment. The ideal candidate must have strong technical expertise and client-facing experience. This remote role also requires occasional travel to client sites and is outside of IR35.
Qualifications
- Strong technical expertise in data engineering.
- Experience with Databricks in a client-facing role.
- Ability to lead delivery of data solutions in agile environments.
Responsibilities
- Implement modern data solutions leveraging Azure and Databricks.
- Engage with stakeholders to gather requirements.
- Ensure agile delivery across multiple projects.
Skills
Tools
We are seeking a contract Principal Data Consultant with strong technical expertise, in particular with Databricks experience and client-facing experience. The ideal candidate will lead the delivery of modern data solutions across multiple projects, leveraging Azure and Databricks technologies in an agile environment.
- Cloud & Data Engineering: Azure, Databricks, Apache Spark, Azure Data Factory, Delta Lake
- Programming & Querying: Python, SQL (complex, high-performance queries)
- Data Governance & DevOps: Unity Catalog/Purview, Terraform, Azure DevOps
- Consulting: Requirements gathering, stakeholder engagement, agile delivery
- Power BI / Tableau
- Azure Functions (Python/C#)
- Streaming (Event Hubs, Stream Analytics)
- CI/CD, SDLC, ETL best practices
Please only apply if you have full right to work in the UK. This is remote with occasional travel as required to client sites and falls outside of IR35.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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