Platform Data Engineer at Runware

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Data Modeling, Log Analysis, ETL, ELT, Performance Analytics, Observability, Monitoring Tools, Cross-Functional Collaboration, High-Throughput Systems, Real-Time Systems, AI, ML, Debugging, Root Cause Analysis

Industry

Software Development

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.

Responsibilities

The main mission is to build, optimize, and maintain Runware’s data infrastructure, ensuring efficient ingestion, processing, and storage of logs, metrics, and performance data. This role supports observability, platform reliability, and provides clean data for analytics and reporting.