We are hiring a Mid Data Engineer to support the design, build, and ongoing improvement of data workflows and data models. This role centers on developing reliable data pipelines in Python, orchestrating workflows with Airflow, and contributing to data modelling work that supports downstream data use.
• Airflow — target L5 (Prof), must-have • Python — target L5 (Prof), must-have • Data modelling — target L5 (Prof), must-have • SQL — target L6 (Prof), nice-to-have • Spark — target L5 (Prof), nice-to-have • dbt — target L4 (Dev), nice-to-have • SQL & query optimizatio — target L6 (Prof), nice-to-have • Working AI leverage — observed and scored, never assumed • 2–6 years of relevant experience
Build, run, and maintain data pipelines using Python and Airflow. Contribute to data modelling work that supports reliable, usable data structures. Work across pipeline orchestration and data transformation tasks, and support the ongoing improvement of data workflow performance and quality. Where useful, apply SQL, Spark, dbt, and SQL & query optimizatio in support of the broader data engineering environment.
this position is for US based clients.
This role offers the opportunity to contribute directly to core data engineering work across pipelines, orchestration, and data modelling. It is a focused mid-level position for someone who wants to apply established skills in Airflow, Python, and data modelling while also bringing preferred experience in areas such as SQL, Spark, dbt, and query optimization.
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