Senior Azure Data Engineer (Databricks)

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

As a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure. You’ll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You’ll also contribute to best practice implementation and continuous improvement within cross-functional engineering teams.

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  Design and develop robust pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog

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  Build real-time event-driven solutions with tools such as Kafka and Azure Event Hubs

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  Apply DevOps principles to develop CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions

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  Collaborate with clients and stakeholders to translate data needs into strategic technical solutions

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  Champion clean code, data lifecycle optimisation, and software engineering best practices

• Proven hands-on experience with Databricks platform and orchestration

• Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems

• Expertise in developing full lifecycle data pipelines across ingestion, transformation, and serving layers

• Experience with data lakehouse architecture, schema design, and GDPR-compliant solutions

• Working knowledge of DevOps tools and CI/CD processes

• Development experience in Scala or Java

• Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem

• Understanding of data privacy regulations, including GDPR, and experience working with sensitive data

• Ability to learn and adapt new technologies quickly to meet business needs

• Collaborative mindset with a passion for innovation and continuous learning