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Senior Data Engineer (Azure)
Posted Date Feb 27, 2026 Employment Type Contract Experience Level Mid-Senior level Location United Kingdom Annual Salary 0 Category ** Data Science ** Company **Morgan McKinley **
Overview We’re supporting a leading consultancy client delivering complex data platform and analytics programmes across regulated and public-sector environments. They’re looking to engage an experienced Senior Data Engineer to help design, build and scale modern cloud data platforms on Azure , with a strong focus on Databricks and modern lakehouse patterns.
This is a hands-on delivery role within multi-disciplinary teams, supporting clients moving from legacy or fragmented data estates towards scalable, cloud-native platforms.
Key Responsibilities
Design and build robust, scalable data pipelines and platforms on Microsoft Azure
Lead hands-on delivery using Databricks (PySpark / Spark SQL) for data engineering and transformation workloads Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Develop and maintain ingestion frameworks (batch and streaming) from a variety of source systems
Contribute to lakehouse architecture patterns using ADLS Gen2, Delta Lake, and modern data modelling approaches
Work closely with solution architects, analytics engineers and stakeholders to translate requirements into technical solutions
Champion data quality, reliability, performance and security best practices
Support CI/CD, automation and infrastructure-as-code approaches within data engineering workflows
Provide technical leadership and mentoring within delivery teams where appropriate
Required Skills & Experience
Strong commercial experience as a Senior Data Engineer on Azure
Proven hands-on delivery with Databricks (PySpark, Spark SQL, Delta Lake)
Experience with core Azure services such as:
Azure Data Lake Storage (ADLS Gen2)
Azure Data Factory / Synapse Pipelines Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Azure DevOps (or similar CI/CD tooling)
Strong SQL and data modelling experience
Experience building production-grade data pipelines (batch and/or streaming)
Comfortable working in agile delivery teams within consultancy or complex enterprise environments
Desirable
Experience working in public sector or regulated environments
Familiarity with lakehouse architectures and modern data platform patterns
Exposure to data governance, security and platform best practice
Experience operating in environments requiring NPPV3 or similar clearance
Clearance
Active NPPV3 clearance is required (or candidates must be eligible and willing to go through the process).
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