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:

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.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.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.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.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.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.