Join a dynamic investment management firm as a Data Engineer and play a crucial role in shaping their data landscape. You'll design and build data pipelines that support critical decision-making processes, ensuring data quality and accessibility.
As a Data Engineer at this investment management firm, you will be instrumental in creating and maintaining data products that support various business functions. Your work will involve designing and implementing data pipelines that handle both structured and unstructured data, ensuring that the data is reliable and accessible for decision-making processes.
In this role, you will take ownership of data products from the moment data is ingested until it is consumed by end-users. This means you will be responsible for ensuring the data is fit for purpose and meets the firm's quality standards. Your day-to-day tasks will include:
The ideal candidate for this position is someone with a strong background in data engineering, particularly with experience in Python and PySpark. Familiarity with cloud platforms like Azure or AWS is essential, as you will be working in a cloud-based environment. If you are passionate about data and enjoy solving complex problems, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.