Applied Computing is seeking a Data Engineer to architect and maintain pipelines turning high-frequency time-series, lab, and historian data into a scalable Lakehouse for deep learning and real-time LLM workloads.
You will work across AWS (EKS, S3, EBS, KMS, CloudWatch) and Databricks, ensuring data is contextualised, synchronised, and optimised for AI workloads while solving problems at the intersection of control systems, industrial data engineering, and AI enablement.
#J-18808-Ljbffr
Energy AI Data Engineer — Real-Time Lakehouse in London employer: Applied Computing
Applied Computing is an exceptional employer, offering a dynamic work environment where innovation meets sustainability. As a People Partner, you'll play a crucial role in shaping our People practices while enjoying autonomy and support from a collaborative team. With a focus on employee growth and a commitment to meaningful work, you'll have the opportunity to make a real impact in a fast-paced, scaling organisation dedicated to transforming the energy sector.
