SC cleared - Azure Data Engineer
Methods
- London, England, United Kingdom
- London, England, United Kingdom
Über
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
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Sprachkenntnisse
- English
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