SC cleared - Azure Data Engineer

Methods

London

Hybrid

GBP 70,000 - 120,000

Full time

14 days+

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Job summary

A leading company in London is seeking a SC cleared Data Engineer to design and maintain scalable data pipelines. The ideal candidate will have expertise in Microsoft Fabric, Azure, Python, and C#. This role involves collaborating with data teams to ensure data quality and compliance, making it a key position for driving data initiatives.

Qualifications

Proficiency in Microsoft Fabric for data integration and orchestration.
Advanced programming skills in Python for data manipulation.
Experience with SQL and NoSQL databases.

Responsibilities

Design, develop, and optimize data pipelines using Microsoft Fabric and Azure services.
Build and maintain scalable data architectures for analytics and reporting.
Collaborate with data scientists to understand data requirements.

Skills

Microsoft Fabric

Python

Azure

SQL

NoSQL

Data modelling

Data warehousing

DevOps

Big data technologies

Job description

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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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