--- title: 'Technical Support Engineer (L1/Frontline Support), EU at Databento' canonical: 'https://feeny.ai/job/technical-support-engineer-l1-frontline-support-eu-databento-london-04t9584wd4pz' type: 'job' last_seen: '2026-09-05' --- # Technical Support Engineer (L1/Frontline Support), EU at Databento - **Company:** Databento - **Location:** London, United Kingdom - **Work type:** remote - **Posted:** 2026-06-02 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/databento/jobs/7976255 ## Job description The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. This role sits squarely at L1: you’ll be the first point of contact for customer issues during EU hours, responsible for understanding the problem, resolving common and well-documented cases, and escalating more complex issues to senior support or engineering with clear reproduction steps and context. ## Responsibilities - Act as the first point of contact for customer support inquiries, resolving common customer issues related to API usage, onboarding, authentication, integration, and billing. - Escalate issues to L2/L3 support or engineering while maintaining accurate ticket status, reproduction steps, and logs. - Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials. - Write technical content on occasion, including tutorials, how-to guides, and blog posts that help developers get the most out of our APIs. - Help manage and grow our online developer communities (Slack, Reddit, etc.) by answering questions and surfacing feedback. ## What we typically look for - Prior experience with Databento's API is strongly preferred, as well as familiarity with financial trading and/or market data. - At least 2 years of experience in technical support, QA, or engineering. - Working proficiency in Python. - Experience with troubleshooting tools (Wireshark, tcpdump, ss, nc, telnet, strace, gdb, perf, eBPF, lsof, curl, xxd, jq, SQL) is a plus. - Experience with observability tools (Grafana, Prometheus, Loki, Sentry) is a plus. - Strong technical communication skills. DevRel experience (e.g. managing Discord communities, creating technical blog posts, podcasts, videos, etc) is a plus. - Experience at an early-stage startup is a plus. - Based in the EU region to provide support coverage during business hours. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply! ## About Databento ## Company Overview - **One-liner**: Databento provides real-time and historical market data APIs for equities, futures, options, and FX, making it simpler and faster for firms to access exchange-grade data directly from colocation sites. - **Entity Type**: Private (Series A, $41.8M total funding) - **Headquarters**: Salt Lake City, Utah, United States - **Founded**: 2019 - **Founders**: Not publicly disclosed; CEO is Christina Qi. The founding team includes veterans from high-frequency trading firms like Two Sigma, Flow Traders, Virtu, and Tower Research. ## Core Business - **Primary industry/industries**: Financial Services – Market Data Infrastructure & APIs - **Target customers**: B2B – from early-stage startups and high-growth firms to large financial institutions (hedge funds, proprietary trading firms, asset managers, banks). Over 40,000 customers. - **Mission or purpose statement**: To offer a simpler, faster, and more affordable way to access market data, eliminating the complexity of traditional data vendors. ## Products & Services - **Real-Time Data API**: Streaming live market data (trades, quotes, NBBO, order book depth) with sub-microsecond precision. Median latency of 590 microseconds from matching engine to application over the public internet. - **Historical Data API**: Up to 15 years of normalized tick-by-tick data covering over 3 million active symbols and 19 PB of coverage. Available via HTTP API, S3, GCP, or rsync. - **Reference Data**: Corporate actions, adjustment factors, and security master data for over 200 trading venues. - **Packet Captures (PCAPs)**: Raw market data in native protocol with nanosecond-resolution hardware timestamps, delivered via cloud storage. - **Data Schemas**: Supports multiple formats – order book, tick data, bar aggregates (OHLCV), auction imbalance, and more. - **Client Libraries**: Python, C++, and Rust libraries, plus Raw API (binary TCP) and HTTP API. Optimized for Pandas dataframes (over 1 million rows per second). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Annual Revenue of $1.4M (LinkedIn estimate); Total Funding of $41.8M - **Notable Investors/Partners**: Indicator Ventures (led pre-seed), MassChallenge, DCU FinTech Innovation Center, and other undisclosed investors in Series A rounds (2021: $24.2M, 2024: $10M). - **Growth Signals**: 40,000+ customers gained in 3 years since launch; headcount grew 25.8% YoY to 31 employees; operates in 5 countries (US, UK, Portugal, Ireland, Netherlands); LinkedIn followers grew 32.5% yearly; active job postings up 300% YoY. ## Competitive Advantages - **Direct colocation sourcing**: Data is ingested at Equinix NY4, CyrusOne Aurora I, and FR2 facilities – no third-party data providers in between, reducing latency and improving accuracy. - **Usage-based pricing + flat-rate subscriptions**: Only pay for data consumed, unlike traditional vendors with high minimums. Free tier with $125 in credits. - **Single API for multiple asset classes**: Equities, options, futures, and FX all normalized under one integration. - **Nanosecond timestamps**: PTP-synchronized with sub-microsecond accuracy across venues – a differentiator from most competitors. - **Developer-first experience**: Simple self-service portal, multiple encoding options (CSV, JSON, DBN), and Pandas-optimized data delivery. ## Strategic Focus - **Expand coverage**: Adding Spot FX (coming soon) and more exchanges/ATSs across asset classes. - **Global reach**: Growing APAC and EMEA sales teams; hiring Technical Support Engineers in Hong Kong, Singapore, London, and other hubs. - **Product depth**: Enhancing real-time feed performance, introducing new schemas, and improving cloud-based delivery of PCAPs. - **Enterprise adoption**: Targeting larger financial institutions while maintaining self-service for startups. ## Why Work Here - **Culture highlights**: 100% remote-first company with a small team (<30 people). Emphasis on asynchronous communication, trust, and flexibility (walk the dog, go to the gym, etc.). No AI resume screening – every application reviewed by a human. - **Remote/Hybrid policy**: Fully remote globally, with optional co-working hubs in Boston, Salt Lake City, San Francisco, New York, Portland, and London for certain roles. - **Notable perks**: Health & dental insurance, 401(k) matching, visa sponsorship. Team is lean, so employees have high impact and autonomy. Engineering team uses C++, Rust, Python, and works on low-latency systems. - **Growth opportunities**: Rapidly growing company with increasing headcount and job postings; employees get exposure to fintech infrastructure at scale. ## Sources 1. [Databento.com](https://databento.com/) 2. [LinkedIn Company Page](https://www.linkedin.com/company/databento) 3. [About Page](https://databento.com/about) 4. 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