At DWS, we are seeking an experienced Data Engineer to join our team of experts in delivering innovative data-driven solutions. The successful candidate will have a strong background in data engineering, business intelligence, and analytics, with expertise in Microsoft data tools such as SSIS, SSRS, and SSAS.
The ideal candidate will have significant experience working with Azure data tools, including Databricks, Data Factory, and Data Lake, as well as advanced skills in SQL Server and SSMS. They will also have strong Python skills, with experience in PySpark, and the ability to develop requirements into actionable business analytics strategies, roadmaps, and solutions.
We offer ongoing professional and career development, paid learning and certifications, an active social club, and corporate discounts on a range of services and products.
Key Responsibilities:
* Design, build, and maintain large-scale data pipelines using Azure data tools
* Develop and implement data models and architectures using Microsoft data tools
* Collaborate with cross-functional teams to deliver data-driven insights and solutions
* Provide technical guidance and support to junior engineers and other stakeholders
Requirements:
* Bachelor's degree in Computer Science, Engineering, or related field
* 5+ years of experience in data engineering and business intelligence
* Expertise in Microsoft data tools, Azure data tools, and SQL Server
* Strong Python skills, with experience in PySpark
* Certifications in Databricks (Fundamentals or higher) or Azure (AZ-900)
What We Offer:
* Ongoing professional and career development
* Paid learning and certifications
* An active social club
* Corporate discounts on a range of services and products