As a Data Engineer, you'll play a crucial role in building and optimizing data models that support key business reporting. This position is ideal for someone who enjoys working with data and collaborating with various stakeholders.
In this role, you'll be responsible for developing and optimizing semantic models that are essential for business-critical reporting using Power BI. Your work will involve collaborating with various stakeholders to define key performance indicators (KPIs) and ensure that the data models meet the business needs effectively.
Your day-to-day tasks will include using Python for data engineering tasks, automating processes, and integrating different data sources. You'll also focus on data warehousing, ensuring that the data is stored efficiently and is easily accessible for reporting and analysis.
This position suits someone who has a strong background in data engineering and is comfortable working with tools like Power BI. You should have a solid understanding of semantic modeling and be able to tune performance to ensure that reports run smoothly and efficiently.
Key requirements for this role include proficiency in Python, experience with data warehousing, and a good grasp of Power BI and semantic modeling. If you enjoy working with data and have a collaborative mindset, this could be a great opportunity for you.
You'll be taken to the original listing on CareerJet to apply.