Principal Azure Data Engineer (Databricks)

Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

As a Principal Azure Data Engineer (Databricks) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform within the Azure ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients to modernise their data capabilities. Working with cross-functional teams, you’ll guide clients on best practices and technical strategy, ensuring quality and security standards are maintained across deployments.

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  Lead the end-to-end delivery of Databricks-based solutions across Azure environments

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  Architect secure and scalable pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog

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  Develop and enforce engineering best practices across the data lifecycle

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  Engage with clients to define solution strategies and data governance frameworks

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  Mentor engineering teams and contribute to internal capability development initiatives

• Proven experience with the Databricks platform, including Unity Catalog, DeltaLake, and orchestration

• Expertise in Python, PySpark, and distributed data processing frameworks

• Extensive background in CI/CD pipeline development with tools like Azure DevOps, Jenkins, GitHub Actions

• In-depth understanding of data lakehouse principles, data modelling, and GDPR-compliant design

• Experience building robust, production-grade data pipelines from ingestion through to serving

• Strong client-facing and commercial skills to support pre-sales and RFP engagements

• Background in coaching and mentoring engineering teams

• Development experience with Scala or Java

• Exposure to PII and sensitive data handling, and regulatory frameworks like GDPR

• Active contribution to Capco thought leadership and internal initiatives