- Company: Get A Job.ai
- Location: London
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential AI technology client experiencing exceptional growth in the intellectual property sector. Our talent team is searching for a Data Engineer to architect and operate the ingestion and search infrastructure that powers their platform.
This role offers end-to-end ownership of data systems processing global patent literature, case law, technical standards, scientific databases, and web content across structured records, documents, images, audio, and video formats.
Responsibilities
- Design and operate high-throughput, resumable pipelines for large-scale dataset ingestion with efficient incremental updates, monitoring, and failure recovery
- Extract structured content from complex documents and varied formats while handling malformed records, evolving schemas, and validating outputs
- Build and maintain keyword, vector, and structured search systems with optimized schemas, indexes, and partitioning for queries across tens to hundreds of millions of records
- Connect information across disparate sources, linking patents, scientific records, and supporting documents while preserving dates, versions, and traceability
- Profile and optimize parsing, ingestion, database builds, and queries against representative datasets at production scale
- Diagnose CPU, memory, and storage I/O bottlenecks, tuning jobs and infrastructure for throughput, latency, and cost efficiency
- Collaborate closely with AI researchers and product engineers with substantial autonomy in technical approach
What We're Looking For
Essential Requirements:
- Strong Python and SQL expertise with demonstrated experience designing and operating production databases
- Proven track record building and operating production data pipelines over large, complex datasets
- Deep expertise running search systems over large document collections
- End-to-end ownership mindset from raw data acquisition through user-facing functionality
- Solid understanding of schema design, indexing strategies, and query optimization
- Demonstrated ability diagnosing and resolving performance bottlenecks in live systems through profiling and measurement
Nice to Have:
- Experience with PostgreSQL/pgvector, OpenSearch or Elasticsearch, Spark/Delta Lake, AWS infrastructure
- Familiarity with NoSQL databases or systems programming languages like Rust or C++
How We Work With You
Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and technical experience. Strong matches are then submitted to our client for consideration. Please do not attempt to contact the employer directly—all communication flows through our talent team to ensure a professional, organized process.
Pay
Compensation details will be discussed during the screening process based on experience level and qualifications.
Location: London
Visa Sponsorship: Available
Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and work to ensure fair, inclusive hiring processes for the organizations we represent.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Data Engineer
- Employer Get A Job.ai
- Location London
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 17, 2026
- Apply by October 17, 2026
- Overview Full job description on this page (411 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
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Occupation family: Data Engineer
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