As a Data Engineer at MECS, you'll play a crucial role in ensuring that high-quality data is available for business intelligence and analytics. This position is ideal for someone with a solid background in data management and a passion for supporting data-driven decision-making.
At MECS, the Data Engineer will be an integral part of the data and analytics team, working to support BI Analysts and Data Scientists by providing curated, business-ready datasets. This role involves extracting, integrating, transforming, cleansing, and standardizing data from various operational systems across the organization. The aim is to ensure that high-quality, reliable, and governed data is available within the enterprise Data Warehouse.
In your day-to-day work, you will be responsible for acquiring and managing data from multiple enterprise systems. This includes working with data from ERP and TMS systems, among others. Your efforts will directly support business intelligence, analytics, and data science initiatives, enabling data-driven decision-making across the company.
This position is best suited for someone with a few years of experience in data engineering or a related field. You should have a strong understanding of data extraction and transformation processes, as well as a commitment to maintaining data quality. Familiarity with BI tools and data warehousing concepts will be advantageous, but the primary focus is on your ability to create reliable datasets that meet the needs of the business.
Overall, this role offers a great opportunity to work in a collaborative and data-driven environment, where your contributions will have a significant impact on the organization's success.
You'll be taken to the original listing on PNet to apply.