Data Lead

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

• 4+ 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

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

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)