Platform Data Engineer

Runware; Remote; GBP 80,000 - 100,000; Full time

Job summary

A technology company in the United Kingdom is seeking a Data Engineer to build and maintain its data infrastructure. The successful candidate will optimize data models, ensure efficient data ingestion, and collaborate with cross-functional teams. Ideal applicants will have strong experience in data pipelines, monitoring tools, and a pragmatic approach to reliability and performance. The organization offers a remote-first work environment with generous paid time off and stock options.

Benefits

Generous paid time off

Meaningful stock options

Remote-first setup

Flexible hours

Family leave

Company retreats

Qualifications

• Solid experience as a Data Engineer or similar role in a production environment.
• Strong understanding of data pipelines and data modeling.
• Experience with analytical databases, especially ClickHouse.
• Comfortable analyzing logs, metrics, and platform data.

Responsibilities

• Build, optimize, and maintain high-performance data infrastructure.
• Design, build, and maintain schemas and data models.
• Implement ETL/ELT workflows for analytics-ready data structures.
• Collaborate with DevOps, ML, and backend engineering.

Skills

Data pipelines

Monitoring tools

Data modeling

Batch processing

Real-time data analysis

Tools

ClickHouse

Prometheus

Grafana

Datadog

OpenTelemetry

Job description

Runware is building a high-performance AI media-creation platform powering instant generation of text, image, video, 3D, and audio. As our platform scales and integrations grow, we need robust, reliable, and high-throughput data systems.

We’re looking for a Data Engineer to architect and maintain our data backbone — with a special focus on high-volume logs, and performance pipelines.

You will work hand-in-hand with our Data Expert and the platform team to transform raw system activity into structured, queryable, high-value data.

🎯 Mission

Your main mission is to build, optimize, and maintain Runware’s data infrastructure.

You will ensure that logs, metrics, performance data, and events are efficiently ingested, processed, stored, and ready to be analyzed by engineering, ML, and product teams.

This role is central to:

• Supporting observability & platform reliability
• Enabling deep log & performance analytics
• Powering internal dashboards and customer reporting
• Providing clean, structured data to the Data Expert and all stakeholders

🧩 What You Will Do

Architecture & Ownership

• Design, build, and maintain schemas and data models
• Optimize table layout, partitioning, indexing, and compression for high-volume data
• Ensure fast, efficient querying for logs, requests, metrics, and performance traces
• Maintain ingestion pipelines for billions of records

Data Engineering & Pipelines

• Build robust pipelines for:
  • API logs
  • Model inference logs
  • Error events
  • Usage & integration events
  • GPU & system metrics
• Implement ETL/ELT workflows to transform raw data into analytics-ready structures
• Ensure quality, reliability, and real-time availability of data sources

Performance & Log Analysis Infrastructure

• Build tooling to support large-scale log analysis
• Enable deep investigation into latency, throughput, errors, and bottlenecks
• Provide the raw data foundation for E2E inference-time monitoring
• Help debug production issues using logs and traces

Tooling & Observability Infrastructure

• Work closely with DevOps, ML, and backend engineering
• Integrate pipelines with monitoring tools (Prometheus, Grafana, Datadog, OpenTelemetry)
• Automate ingestion and cleanup tasks
• Build internal libraries or utilities to support monitoring and debugging workflows

Collaboration & Cross-Functional Support

• Provide clean data interfaces for the Data Expert (dashboards, monitoring, analytics)
• Support engineering teams by exposing the right logs and metrics
• Contribute to debugging, RCA (root cause analysis), and performance optimization initiatives

What We’re Looking For

• Solid experience as a Data Engineer or similar role in a production environment
• Strong understanding of data pipelines, streaming vs batch processing, and data modeling
• Experience working with analytical databases (ClickHouse is a plus, but not mandatory)
• Comfortable digging through logs, metrics, and platform data to understand system behavior
• Familiarity with event-based systems, monitoring, and observability concepts
• Pragmatic mindset: you care about usefulness, reliability, and performance over theory
• Comfortable working cross-functionally with backend, infra, and data profiles
• Startup / scale-up experience is a plus

Nice to Have

• Experience with high-throughput or realtime systems
• Exposure to cost monitoring, performance analytics, or platform observability
• Background in AI, ML platforms, or data-heavy products

We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap.

• Generous paid time off– vacation, sick days, public holidays
• Meaningful stock options– share in the upside you create
• Remote-first setup– work from home anywhere we can employ you
• Flexible hours– own your schedule outside core collaboration blocks
• Family leave– paid maternity, paternity, and caregiver time
• Company retreats– twice-yearly gatherings in inspiring locations

Please note: We are unable to offer visa sponsorship in the UK at this time. Candidates must have existing right to work in the UK.