Live opening · Posted 9 days ago

Data Engineer, Senior Level

Jobright.ai · United Kingdom (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanyJobright.ai
LocationUnited Kingdom (Remote)
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

Jobright is a personal AI job search agent that guides and simplifies the job search process. The Senior Data Engineer owns the design, development, reliability, and operation of data pipelines and models while leading technical delivery and mentoring colleagues.
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
• Lead technical design and delivery for complex initiatives in this role, making tradeoffs explicit
• Mentor colleagues and improve review, documentation, and operational practices
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
• Demonstrated experience owning complex projects from design through production or business adoption
• Ability to lead technical decisions, review others' work, and mentor colleagues
Preferred
• Experience with cloud data warehouses and orchestration tools such as Airflow or Dagster
• Familiarity with distributed processing, streaming ingestion, or change data capture

Work arrangement
No

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