As a Data Engineer, you'll focus on building and maintaining data systems that support analytics and reporting. This role is ideal for someone who enjoys working with data and has a knack for problem-solving.
In this role, you'll be part of a team dedicated to enhancing the company's data capabilities. Your main responsibility will be to design, develop, and maintain data pipelines that ensure the integrity and availability of data for analytics purposes. You'll work closely with data analysts and other stakeholders to understand their data needs and deliver solutions that meet those requirements.
Your day-to-day tasks will include writing efficient code in Python for data processing, automating workflows, and integrating various data sources. You'll also be involved in performance tuning to ensure that data systems run smoothly and efficiently. Familiarity with data warehousing concepts will be essential as you help build robust data storage solutions.
The ideal candidate for this position is someone who has a strong background in data engineering and is comfortable working with large datasets. You should have a solid understanding of data architecture and be able to implement best practices in data management. Experience with tools like Power BI and knowledge of semantic modelling will be beneficial but not mandatory.
If you are passionate about data and enjoy tackling complex challenges, this role could be a great fit for you. You'll have the opportunity to contribute to meaningful projects and help shape the data landscape of the organization.
You'll be taken to the original listing on CareerJet to apply.