We are looking for a highly motivated and results-driven Data Lead to join our team full-time. In this role, you will shape the vision, architecture, and delivery frameworks for both Data Engineering and Data Science, aligning the teams into a single, high-impact function.
We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.
Key Responsibilities
Data Engineering Leadership * Design and evolve a scalable data platform architecture * Oversee development of robust ETL/ELT pipelines and real-time data streams * Establish engineering best practices: code reviews, CI/CD, data contracts, observability * Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure * Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes * Validate and clean incoming data to maintain high-integrity datasets
Data Science Leadership * Define and lead ML strategy focused on business impact (LTV, churn, recommendations) * Drive advanced feature engineering: transformation, normalization, feature generation * Own model training, hyperparameter optimization, evaluation pipelines, and experiment tracking * Ensure operational stability and observability of ML services * Partner with stakeholders to turn complex challenges into data-driven, Responsible AI solutions * People & Cross-Functional Leadership * Communicate effectively across technical and non-technical teams to influence decisions * Lead cross-team processes (e.g., grooming, design reviews, retrospectives) * Mentor team members, create growth plans, and foster a culture of psychological safety and accountability
Requirements * 5+ years of hands-on experience in both Data Science and Data Engineering, delivering end-to-end solutions * 2+ years of experience managing data teams (hiring, mentoring, performance management) * Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field * Strong programming skills in Python, with experience writing clean, production-grade code * Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture) * Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark) * Deep understanding of core ML algorithms: linear/logistic regression, gradient boosting * Strong foundation in mathematical statistics and probability theory * Proficient in SQL: complex queries, analytical functions, performance tuning * English Intermediate and higher
Nice to have * Experience working with ClickHouse or other OLAP databases * Background in the trading domain or financial markets * Experience analyzing and modeling time series data (e.g., price charts, temporal signals) * Familiarity with anti-fraud systems and techniques
We offer * Tax expenses coverage for private entrepreneurs in Ukraine * Expert support and guidance for Ukrainian private entrepreneurs * 20 paid vacation days per year * 10 paid sick leave days per year * Public holidays as per the company’s approved Public holiday list * Medical insurance * Opportunity to work remotely * Professional education budget * Language learning budget * Wellness budget (gym membership, sports gear and related expenses)
