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Data Engineer Apprentice
2 months ago
Snap Analytics is a customer-focused data analytics consultancy that works with organisations across various sectors to help them achieve their strategic ambitions using cloud analytics solutions.
Key ResponsibilitiesThis hybrid role combines working from home with the utilisation of our offices in central Bristol. It will develop and enhance your technical and client-facing skills, allowing you to explore various technologies within analytics, including ETL, Modern Cloud Data Platforms, BI, and ML/AI tools.
It is essential to have at least 3 years of experience working with data, along with proven experience in areas such as ETL tools, SQL code, data modelling, data warehousing, and cloud data platforms.
- Utilise and further develop core analytics competencies across the full spectrum of analytics – from data integration, data modelling, dashboard creation, and data science.
- Build data pipelines using Matillion.
- Develop demo content and proof of concepts (PoCs) for client engagements based on briefs from the Delivery Lead.
- Understand and work comfortably with various data models, including Kimball and Data Vault.
- Deliver compelling data visualisation solutions to end users.
- Provide documentation on new technologies to be used for training other staff members.
- 2+ years of experience with data integration and visualisation tools.
- 2+ years of experience in data warehousing and database concepts.
- Experience with Kimball dimensional modelling and designing and implementing Kimball dimensional star schema data models.
- Python and/or other programming languages.
- Data science and machine learning.
As a Data Engineer at Snap Analytics, you will have the opportunity to work with a variety of technologies and build internal capabilities for use with clients in pre-sales engagements.
We offer a dynamic and supportive work environment that encourages professional growth and development.