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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 levelMid-Senior level
Employment type
Job function
- Job functionInformation Technology
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