Data Scraping Specialist

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT * Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform * Contributing to design and implementing QRT data store and its API * Monitoring fetching processes and data health * Integrating alternative datasets * Supporting users (Quants & Traders)   Your present skillset * 2-10+ years' experience in a related field * Advanced knowledge of Python is a must * C#, Rust, JavaScript nice to have * Previous experience handling and processing large amounts of both structured and unstructured data  * Experience using new age technologies like data-lake, data-mesh in cloud * Prior experience in financial assets, market data and it's data vendors is a plus * Intellectual curiosity to learn new technologies to build scalable and robust products * Capacity to work with autonomy within a global team * Advanced English, both written and verbal communication skills required to understand business requirements QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. In this role, you will be involved managing data operations activities to onboard, maintain, and support new datasets within QRT. You will also be responsible for production monitoring and ensuring the smooth functioning of data pipelines and infrastructure systems. Your future role within QRT * Own and automate data operations processes, including coordination with external vendors and internal data teams  * Enhance observability of data pipelines by creating and maintaining dashboards and implementing automated checks  * Monitor data pipelines and provide Level 1 production support  * Monitor framework and infrastructure systems to ensure operational stability  * Maintain and update operational runbooks and process documentation  Your present skillset * Bachelor’s or master's degree in engineering or a related field. * 3+ years of Experience in data operations and production support  * Strong Python scripting skills  * Collaborative mindset with a positive and proactive attitude  * Strong problem-solving skills, communication abilities, and attention to detail QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Xapien

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend Engineer to join our engineering team in a high-impact technical leadership role. You'll work on our most challenging technical problems, own parts of our platform's architecture, and help shape the technical direction of our backend stack. Our tech stack centres on Go microservices, with Temporal workflows and MongoDB running on Kubernetes in GCP. You'll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with Grafana Cloud. We're an AI-native engineering team. We use Claude Code daily and we're investing heavily in AI-assisted development as a core part of how we build software — not as an experiment, but as a first-class engineering practice. We want engineers who are excited about this and who have ideas about how to push it further: how to decompose work for AI agents, how to maintain quality at higher velocity, and how to help an entire team get dramatically more productive with these tools. You'll take technical ownership of major domains within our platform — whether that's our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You'll be a technical authority, establishing patterns that others follow and driving initiatives that span multiple teams. What You'll Do * Own the technical direction and architecture for parts of our platform * Design and build complex backend services and systems that scale * Drive technical decisions that affect multiple teams * Establish patterns, standards, and best practices that others will follow * Shape and evolve our AI-assisted development practices, setting the standards for how the team works effectively with AI tooling * Use AI tooling to multiply your own output and help the wider team do the same, rethinking how engineering work is planned, decomposed, and delegated * Lead complex technical initiatives from design through implementation * Identify and address systemic technical challenges across our backend * Set the standard for high-quality code, whether written by hand or with AI — knowing when to trust, when to intervene, and what good looks like either way * Mentor engineers across the organization, raising the technical bar * Balance technical excellence with pragmatic delivery * Influence technology choices and architectural direction * Collaborate with engineering leadership on technical strategy * Build new systems and features while improving our existing architecture What We're Looking For Essential * 10+ years of professional software engineering experience * Strong backend engineering fundamentals — we use Go, but we're hiring an engineer, not a language specialist. If you're excellent and haven't written Go before, that's fine. * Proven track record of designing and owning large-scale systems * Strong experience with distributed systems, event-driven architectures, or similar complex systems * Deep understanding of databases, particularly MongoDB or similar NoSQL systems * Extensive experience with microservices architecture and inter-service communication * Expert-level understanding of containerization (Docker) and orchestration (Kubernetes) * Experience working with AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your development workflow, with a perspective on how to get the most value from them * Experience establishing technical standards and patterns across teams * Strong architectural thinking with ability to balance trade-offs * Track record of mentoring and developing other engineers * Ability to drive technical initiatives with minimal guidance * Experience influencing technical direction at an organizational level * Excellent communication skills with ability to articulate complex technical concepts Highly Desirable * Experience with Temporal or similar workflow orchestration systems at scale * Deep knowledge of event streaming platforms like Kafka * Experience with LLMs and AI integration (particularly for Investigations team) * Experience driving AI tooling adoption and practices across an engineering team — establishing shared conventions, measuring impact, and helping engineers level up * Background in SaaS platforms or B2B products at scale * Expert-level knowledge of observability tools (Grafana, Prometheus, etc.) * Deep understanding of authorization patterns, security, and multi-tenancy * Experience with protobuf and gRPC Our Tech Stack * Languages: Go * Databases: MongoDB * Messaging & Orchestration: Temporal, Kafka * APIs: REST, gRPC, protobuf * Infrastructure: Kubernetes, GCP * Observability: Grafana stack * AI/ML: LLMs (OpenAI, Gemini), RAG systems * Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have * Owned and driven a significant technical initiative to completion * Established new patterns or improved existing ones across teams * Mentored multiple engineers, visibly raising technical standards * Contributed to architectural decisions * Been recognized as a technical authority in your domain * Made measurable improvements to system reliability, performance, or scalability * Influenced the technical direction of our backend platform * Helped evolve our AI-assisted engineering practices, contributing to how the team gets more value from our tooling Here’s our promise to you: * We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work. * We succeed together- you will own a meaningful part of the business through our employee shares & equity programme. * Private health insurance to keep you in tip-top condition. * Life Insurance – let's hope nobody ever needs this! * Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it. * Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work. * Most importantly of all, we will work with you, to help you realise your fullest potential, always.