Mid-Level Data Engineer

Jobright Ai — United Kingdom · Posted ~3 hours ago

Mid

Skills

data pipelines data modeling ETL data quality monitoring

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Summary ✨ AI‑Generated

A data engineering role focused on building reliable pipelines, analytical models, and data quality processes. The position involves improving performance, monitoring, and scalability of data systems.

Highlights

Opportunity to build reliable data systems supporting AI-driven products. Offers ownership, technical impact, and collaboration across engineering and analytics teams.

Description

Jobright is a personal AI job search agent that simplifies the job search process and accelerates access to better job outcomes. The Data Engineer builds and operates reliable batch and incremental data pipelines, designs analytical data models and transformations, and improves data quality, monitoring, recovery, and processing efficiency. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • Build and maintain batch and incremental data pipelines from operational systems into analytical storage • Design data models and transformations that support dependable downstream analysis • Implement pipeline tests, monitoring, schema checks, and recovery procedures • Investigate pipeline failures and improve reliability, performance, and processing efficiency • Work with analysts and software engineers to document data contracts and source behavior Qualification Required • Practical experience developing and operating data pipelines • Strong SQL and Python programming skills • Understanding of relational data modeling, incremental processing, and schema evolution • Experience with version control, automated testing, and workflow orchestration • Ability to diagnose production data issues and communicate clearly in a remote team Preferred • Experience with cloud data warehouses and orchestration tools such as Airflow or Dagster • Familiarity with distributed processing, streaming ingestion, or change data capture