getSummary
Written in English from the original postingAcuity Analytics is hiring a Data Engineer to design and implement Azure-based data solutions using Azure Data Factory and Databricks. The role includes data modeling, schema and data migration, ETL optimization, and managing complex data flows. It is a flexible hybrid position associated with Germany, Austria, and the United Kingdom.
Job description
About us
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.
About 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.
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
Required skills (must-haves):
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
.Why join us
If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.
For more details about Acuity Analytics please see here: Read here.
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