Level

NCC Group

Data Engineer

AI in this role

Data and Reporting is an integral part to NCC Group to help deliver our data strategy and, as our Data Engineer, you’ll support the successful delivery of a scalable data intelligence platform in Azure. This will provide the services and tools to extract deeper insights from big and complex data using predictive analytics and AI. This in turn will enable the uncovering of actionable insights previously hidden in data.  
You’ll support the roll out of this platform and ensure these insights are used to guide our mission-focused decision making and strategic planning, helping NCC to deliver against its core mission-led strategic objectives.  
The platform will be designed to be iterative and adaptive, allowing exploration of new data sources, models, and algorithms over time, ensuring that NCC stays current and leverages the latest advancements in data intelligence.  
You will support all areas of the business and be involved within a variety of projects that require development of data infrastructure (ETLs, data migrations, data models, stored procedures and reporting outputs) with the end goal of providing clear and efficient analytics supported by robust data processes. You will draw insights and shape processes, primarily using structured data to understand behaviour and interactions both throughout the business and relating to our internal applications. You will be a go-to expert on data resources and tools whilst promoting data-driven decision-making throughout the business.

Key Responsibilities

  • Support and maintain the central Data Platform, ensuring its availability and performance to meet business needs. 
  • Build data pipelines to connect APIs, files, databases, and data streams to our client's Data Platforms. 
  • Define and embed data quality measures within data pipelines. 
  • Ensure data integrity, monitoring, and alerting are integrated into all solutions. 
  • Create and manage Build and Deployment pipelines. 
  • Enhance and support our Data warehouse. 
  • Collaborate with analysts to translate requirements into solutions and ensure successful business outcomes. 
  • Contribute to the overall design of the Data Platform

Skills, Knowledge & Expertise

  • Proven experience working in a similar role, ideally within the tech industry.   
  • Implement data solutions in a Microsoft Azure environment using native technologies and RDS (SQL Server) toolsets. 
  • Experience with dimensionally modelled databases for analytics use cases. 
  • Knowledge of ETL tools and approaches. 
  • Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. 
  • Experience with Python or PySpark for scripting and automating data tasks. 
  • Knowledge of CI/CD approaches for Data Platforms 
  • Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects. 
  • Experience in a relevant sector is a plus. 
  • Degree or equivalent qualification/experience in computer science, data science, or a related field. 

How we rate this

Data Engineer at NCC Group rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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