SC cleared - Azure Data Engineer

Summary

Designs and maintains scalable data pipelines using Microsoft Fabric, Azure, Python, and C# to support analytics and reporting workloads.

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Location: London, hybrid working. Can be onsite one day a week

Methods are seeking a SC cleared Data Engineer in London, responsible for designing, building, and maintaining scalable data pipelines and infrastructure. The ideal candidate will have expertise in Microsoft Fabric, Azure, Python, and C#.

Key Responsibilities:

- Design, develop, and optimize data pipelines using Microsoft Fabric and Azure services (eg, Azure Data Factory, Azure Synapse Analytics, Azure Databricks).

- Build and maintain scalable, high-performance data architectures to support analytics, reporting, and machine learning workloads.

- Write clean, efficient, and maintainable code in Python and C# for data processing, transformation, and integration tasks.

- Implement data ingestion, ETL/ELT processes, and data warehousing solutions.

- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions.

- Ensure data quality, security, and compliance with organizational and regulatory standards.

- Monitor and troubleshoot data pipelines, optimizing for performance and cost-efficiency.

Key Skills:

- Proficiency in Microsoft Fabric for data integration, analytics, and orchestration.

- Advanced programming skills in Python for data manipulation, scripting, and automation.

- Proficiency in C# for developing custom data applications and integrations.

Additional Skills:

- Experience with SQL and NoSQL databases (eg, Azure Cosmos DB, SQL Server).

- Familiarity with data modelling, data warehousing, and lakehouse architectures.

- Knowledge of DevOps practices, including CI/CD pipelines and version control (eg, Git).

- Understanding of big data technologies (eg, Spark, Hadoop) is a plus.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Contract

Job function

Job function
Information Technology

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