Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
About the role
- Senior Data Engineer developing Azure-based data solutions for clients in the Data & AI department. Collaborating with architects and consultants to enhance automated decision making.
Responsibilities
- Understand customer requirements and work collaboratively to design data solutions that deliver high quality outcomes.
- Enable higher quality data to be created & managed in our customers organisations
- Develop high quality data products utilising (primarily) cloud native patterns
- Engineer cloud-based data lake patterns to connect and leverage organisational & external data
- Provide technical support and guidance through prototyping, testing, build, and launch of data products
- Contribute towards the creation of technical support and design documentation for data platforms and solutions .
- Contribute to continually refining our development standards and best practices.
Requirements
- Strong technical expertise using core Microsoft Azure data technologies: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog , Purview
- A strong background in Python development (for data engineering) and SQL
- Proficient with Azure databases such as Synapse EDW, SQL Managed Instance, and Azure SQL
- Skilled in Devops (CI/CD) implementations. Including IaC deployments (Bicep, Terraform, etc.)
- Adept at team collaboration and task tracking with Azure DevOps, adhering to Scrum/Agile methodologies.
- Knowledge and experience of the following would be advantageous : C# development skills
- Azure services used for infrastructure build and monitoring (ARM, Policy, Monitor, Log Analytics etc)
- Implementation of big data/analytics services
- Supporting AI/Machine Learning workflows at production-level scale
- NoSQL databases such as Cosmos DB or Mongo DB
- Knowledge of Microsoft Fabric and its requisite platform components, as well as monitoring, security and governance configuration within the platform
- Experience in working with Power BI, including Power Query, DAX, and Power BI Service.
Benefits
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work you can be proud of
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
- Competitive salary and an excellent benefits package
Job title
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Not specified
Degree requirement
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