Join a dynamic team as a Data Engineer, where you'll work with complex datasets and multiple data sources. This role is perfect for someone with a solid technical background and a passion for data analytics.
As a Data Engineer at MECS, you will play a crucial role in the data and analytics environment. Your primary responsibility will be to extract, integrate, transform, cleanse, and standardize data from various operational systems and sources. This position requires a strong technical background and the ability to work with complex datasets, ensuring that data is accurate and accessible for analysis.
In your day-to-day work, you will collaborate with other data professionals to enhance data quality and support analytics initiatives. You will be involved in feature engineering and may also apply machine learning concepts to improve data processes. Your experience with modern data platforms will be essential in streamlining workflows and optimizing data handling.
This role is well-suited for individuals who have 3 to 5 years of experience in data engineering and are comfortable working with multiple source systems. A relevant degree is also required. If you are passionate about data and enjoy solving complex problems, this position could be a great fit for you.
Key responsibilities include: • Extracting and integrating data from various sources • Transforming and cleansing data for analysis • Standardizing data to ensure consistency • Collaborating with analytics teams to support data-driven decisions
If you are ready to take your data engineering skills to the next level in an innovative and data-driven environment, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.