Job Description
About Behavox
Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.
At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.
Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.
Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.
About the Role
We are seeking two skilled BI Engineers to establish our Business Intelligence function from the ground up. As founding members of a lean, high-impact team, you'll be responsible for the full spectrum of BI delivery - from extracting data from source systems to delivering insights through interactive dashboards. This is a hands-on role requiring both technical depth and business acumen, perfect for versatile professionals who thrive in building something new.
AI-First Development Approach: At Behavox, we embrace cutting-edge AI tools like Claude and GitHub Copilot to accelerate development and innovation. You'll be working in a modern environment where AI assists in code generation, data analysis, and problem-solving, allowing you to focus on architecture, business logic, and delivering value at unprecedented speed.
What You’ll Bring
A genuine passion for Behavox's mission, with a clear connection to our marketplace, data-driven technologies, and vision.
Proven experience building end-to-end data pipelines (ETL/ELT) from multiple sources using Python and modern orchestration frameworks.
Hands-on experience designing business dashboards that influence decisions, ideally using Looker.
A track record of success in collaborative, small-team environments, contributing to shared outcomes and cross-functional projects.
Demonstrated learning agility - comfortable with cloud platforms (GCP preferred) and eager to explore AI-assisted development and analytics tools.
What You’ll Do
Design and implement robust, end-to-end data solutions that enable analytics and insight generation.
Develop and maintain production-quality SQL and Python code for data transformation and automation.
Champion data quality and reliability, ensuring accuracy, consistency, and trust in core datasets.
Collaborate with stakeholders to translate complex business requirements into scalable technical solutions.
Continuously learn and adapt to emerging technologies, tools, and best practices in modern data engineering.
What We Offer & Expect
The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies.
A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence.
A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families.
A modern, comfortable office in central Lviv, with an expectation of working from the office three (3) days per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate occasional personal circumstances that may require working from home.
A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance.
About Our Process
Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.
As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise with a group of Behavox engineers and engineering managers.
The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.
We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.
Please note the following:
A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.