About the role
Tem is rebuilding energy transaction infrastructure with an AI native platform and is hiring a Senior Data Engineer to own critical ingestion pipelines end to end. The role sits in a four person Data Service team and focuses on reliability, recovery strategy, and data quality across time series, textual, and event stream workloads that power pricing through billing.
You will design and maintain ETL and ELT pipelines, decide between batch and streaming approaches, improve observability, and work through a tech debt backlog while helping raise the number of data products with defined SLAs from 2 to 10. The position is remote first with flexible working, core hours, and budgets for home setup and wellbeing, and it suits someone with strong Python, AWS or GCP, Terraform, and stakeholder communication skills.
Highlights
- Own ingestion pipelines end to end, including reliability and recovery strategy
- Work with time series, textual, and event stream data at scale
- Remote first setup with home working and wellbeing budgets
- Individual contributor role with close collaboration on AI initiatives
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