Azure Data Engineer Outside Ir35 Hybrid London

Azure Data Engineer | Outside IR35 | 3 - 6 Months | Mostly Remote |Healthcare.

SR2 is pleased to partner with a London-based consultancy at the forefront of developing a cutting-edge healthcare product. We are actively seeking a skilled Azure Data Engineer to join our dynamic team on a 3-6 month contract (Outside IR35). This role requires a passionate individual with a strong technical background in Python, Azure, Docker, and related technologies. The successful candidate will play a crucial role in building robust data pipelines, managing technical client relationships, and contributing to the success of our healthcare product.

Responsibilities:

1. Data Pipeline Development:

   • Research, define, and implement data pipelines to process and analyze health data efficiently.
   • Leverage Python, Pandas, and Luigi to design and optimize data processing workflows.

2. Client Relationship Management:

   • Serve as the main point of contact for technical client interactions, ensuring effective communication and understanding of client requirements.
   • Work collaboratively to align data solutions with client needs.

3. Continuous Integration (CI) Pipelines:

   • Develop and maintain CI pipelines using Gitlab CI to automate the building and deployment of data pipelines and associated web applications.
   • Ensure version control and code integration best practices are followed.

4. Infrastructure as Code (IaC):

   • Implement Infrastructure as Code (IaC) using Bicep to manage Azure and on-premises server environments.
   • Deploy and manage Azure services such as Azure Container Registry (ACR), web apps, managed Postgres, Azure Data Factory, blob storage, and networking components.

5. Monitoring and Troubleshooting:

   • Establish robust monitoring practices for data pipelines and web applications to detect and resolve issues promptly.
   • Demonstrate proficiency in troubleshooting and resolving complex technical challenges.

6. Sysadmin Tasks:

   • Perform routine system administration tasks on on-premises servers, ensuring their stability and security.

Key Skills:

• Python and Pandas:

  • Extensive experience in Python programming for data manipulation and analysis using Pandas.

• Docker:

  • Proficiency in containerization using Docker for packaging, distributing, and running applications.

• Azure Services:

  • In-depth knowledge and hands-on experience with Azure services, including ACR, web apps, managed Postgres, Azure Data Factory, blob storage, and networking.

• Gitlab CI:

  • Strong understanding and practical experience with Gitlab CI for continuous integration and deployment.

• Bicep:

  • Experience with Infrastructure as Code using Bicep for Azure resource provisioning and management.

• Linux (on-prem servers):

  • Solid command of Linux systems, particularly in on-premises server environments.

• C#:

  • Familiarity with C# to review and debug applications within a small team setting.

Qualifications and Experience:

• Proven track record as a Data Engineer, with specific emphasis on Azure environments.
• Exposure to healthcare data processing is advantageous.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills within a team environment.

Azure Data Engineer | Outside IR35 | 3 - 6 Months | Mostly Remote |Healthcare.