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Data Engineer
Hybrid in the UK·Added yesterday (last checked 12 Nov)
18 open roles
Our summary
- Work mode
- Hybrid, the UK
Skills
Requirements
What we're looking for
Data modelling concepts and techniques (data warehouse, transactional)
Azure Databricks & Delta Lake, Python
MS SQL Server, T-SQL
Azure data engineering stack - Azure Data Factory, Azure Data Lake, Cosmos DB
Good working knowledge of DevOps, Testing, Operating and Optimizing complex data flows
Solid experience with Azure, Azure DevOps, Git, Visual Studio, PowerShell
Nice to have
- PowerBI experience
The role
We are looking for a skilled Data Engineer with strong experience in Azure cloud, Azure Databricks, ADF pipelines to join our team. You will be responsible for designing, building, and managing scalable data solutions in a cloud-native environment.
What you'll do
Responsibilities
Design and implement data processes (e.g. ADF Pipelines, Databricks)
Data Models developing and versioning
Work with cloud-based data infrastructures (Azure)
Development & execution of schema + data migration
Optimizing ETL performance
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details
If you have any questions
If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.
About the role
For more details about Acuity Analytics please see here: Read here.
About Acuity Analytics
In their own words
About the company & team
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
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