Senior Data Engineer

Your daily responsibilities could be quite varied, but typically our Data Engineers (F/M/X):

• Design data models of analytical applications
• Understand, build and develop ETL and data integration solutions using a wide array of technologies and data sources
• Work with big data components and migration strategies
• Work with cloud-based infrastructure (Azure, AWS, and Google) for hosting data solutions and applications.
• Support the development of analysis and reporting solutions

• We're looking for people with good data engineering skills, and you'll ideally bring with you:
• Proven role experience in developing ETL and data integration solutions
• Good knowledge of the Azure data engineering stack - Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob, Cosmos DB, Azure Databricks and Microsoft Fabric
• Capability in using Databricks and/or Spark
• Good experience in general programming - Python and SQL
• You'll have experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools. You'll also be really familiar with working with version control systems (Git).

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.