Data Engineer (Azure, Azure Databricks, ADF) - flexible hybrid

Acuity Analytics
Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Cloud Database Data Migration Data Warehousing DevOps Python (Programming Language) Microsoft Visual Studio Microsoft SQL Server Windows PowerShell Azure Data Lake Data Streaming Transact-SQL
+7 more
Management of Software Versions Azure Data Factory Git Containerization Data Lakes Cosmos DB Databricks

Job description

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

Requirements

  • 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

About the company

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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