Senior Data Engineer (Analytics & Applied AI)

About this kind of role

What a Senior Data Engineer (Analytics & Applied AI) usually does. The employer's own details are in the listing.

Typically does: A Senior Data Engineer designs, builds, and maintains data infrastructure to support analytics and machine learning initiatives. This involves developing data pipelines, ensuring data quality, and optimizing data storage solutions. They often collaborate with data scientists and analysts to understand their needs and deliver reliable data access. Responsibilities include data modeling, ETL (Extract, Transform, Load) processes, and database management.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies, and experience with big data tools such as Spark or Hadoop are generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.