Intelligence Engineer

Company Description Nickolds IO is a pioneering firm focused on independent wealth intelligence, combining advanced data analysis with deep financial insight to help clients make informed decisions. The organization operates at the intersection of technology and wealth management, building tools and frameworks that uncover actionable intelligence across complex portfolios. Team members collaborate closely with financial professionals to transform raw data into accurate, transparent, and practical guidance. Nickolds IO values innovation, integrity, and independence, offering professionals the opportunity to shape next-generation intelligence solutions for the wealth sector. Role Description The Intelligence Engineer role is a full-time, hybrid position based in the London Area, United Kingdom, with flexibility for partial work from home. In this role, the Intelligence Engineer designs, builds, and maintains data pipelines and analytical models that power wealth intelligence products and internal decision-making tools. Day-to-day work includes ingesting and cleaning financial and market data, developing algorithms and metrics, and implementing scalable data solutions in collaboration with engineers, data scientists, and product stakeholders. The Intelligence Engineer translates business and investment questions into technical specifications, conducts performance and quality checks on data outputs, and documents processes and models for ongoing improvement. The role also involves monitoring systems in production, troubleshooting issues, and continuously refining methodologies to enhance accuracy, speed, and usability of insights delivered to clients. Qualifications

• Strong skills in data engineering and analytics, including experience with data pipelines, data modeling, and handling large, complex datasets.
• Proficiency in modern programming languages commonly used in data and intelligence engineering (such as Python, SQL, or similar), and familiarity with version control tools.
• Experience with cloud platforms and related services (for example, AWS, Azure, or GCP), including database, storage, and compute resources.
• Understanding of financial markets, investment products, or wealth management concepts, and ability to translate domain questions into technical solutions.
• Capability to collaborate in cross-functional teams, communicate technical topics clearly to non-technical stakeholders, and document solutions in a structured way.
• Background in a quantitative or technical field (such as Computer Science, Engineering, Mathematics, Finance, or related discipline), or equivalent practical experience.
• Experience with data visualization or business intelligence tools (such as Power BI, Tableau, or similar) is beneficial.
• Commitment to ethical data usage, attention to detail, and a continuous improvement mindset in a fast-evolving environment.