As a Data Engineer, you'll play a crucial role in enhancing the quality and accessibility of data across the organization. You'll work closely with various teams to ensure that data is reliable and meets the needs of the business.
In this role, you'll be part of a team dedicated to managing and enhancing the enterprise data platform. Your main responsibility will be to develop and maintain shared libraries and modules that data engineers and analysts use across the organization. You'll collaborate with various teams, including security and infrastructure, to translate business requirements into effective data solutions.
Your day-to-day tasks will involve improving data quality, ensuring traceability, and enhancing the overall trustworthiness of the data. You'll also work on optimizing data processing speeds, making sure that the data is not only accurate but also delivered in a timely manner. This role is ideal for someone who enjoys working with data and is passionate about creating reliable data products.
Key responsibilities include: • Developing and maintaining data models and ETL processes • Collaborating with cross-functional teams to gather requirements • Ensuring data governance and compliance • Continuously improving data quality and performance
To succeed in this role, you should have a solid background in data engineering, with at least three years of experience. Proficiency in SQL and familiarity with data warehousing concepts are essential. Experience with cloud platforms and data governance practices will be advantageous. If you're looking for a challenging role in a dynamic environment, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.