Data Engineer Team Lead

Team Leadership and Management:​

• Lead and mentor agile team of data and AI/ML engineers towards self-organization and empowerment​
• Pioneer close collaboration with data/feature analysts and data scientist in virtual team setup based on principles of agile and open-source​
• Conduct performance reviews and provide professional development opportunities​
• Present team achievements in internal and external events​

Continuous Improvement, Technical Excellence and Accountability:​

• Ensure proper data model design and feasibility of data products including AI/ML model training/serving, act as a primary contact for technical aspects of data product​
• Oversee the technical design and implementation compliance with company strategy and policies​
• Follow, select and apply the latest technologies and best practices in data integration and AI/ML​

Delivery Tracking:​

• Oversee the end-to-end development process from technical perspective​
• Ensure projects are delivered on time, within scope, in alignment with product owner and users’ expectations, including non-functional requirements (performance, security, stability, observability, continuity)​
• Manage expectations, risks and resolve issues that arise during development​

Collaboration with Product Owner:​

• Work closely with the Product Owner to align development efforts with product goals​
• Provide technical input and feasibility assessments for product features and enhancements​
• Ensure clear communication and coordination between the team and the Product Owner​

Automated testing, code quality and documentation:​

• Implement and maintain quality standards for data products​
• Ensure regular testing and validation are implemented as vital part of automated CI/CD​
• Monitor and improve the performance and efficiency of data flows​

Data Governance and Compliance:​

• Ensure data products comply with relevant data privacy and security regulations and policies​
• Manage data access and usage to protect personal data and other sensitive information

• Previous experience with leading data engineering or AI/ML engineering team​
• Good knowledge of data modelling, integration, transformation and MLOps on following (or similar) platforms: KServe, Spark, MLflow, Trino, Cassandra, Airflow, Kafka, CEPH, Jupyter, Gitlab, OpenMetadata​
• Good level of understanding of typical data consumer use cases including applications, model training, model serving and various visualization tools (PowerBI, Grafana, Evidently).​
• Ready to put your hands on to solve the problem​
• Thorough understanding and appreciation for the agile and open-source software values and principles​
• You’re comfortable around people, your domain expertise coexists with your strong ability to negotiate, influence and provide feedback​
• You prefer trusting people and empowerment over micro-management​
• You seek continual improvement - Constantly learning to grow your expertise, yourself, and your team.​
• Attitude of transparency – Desire and aptitude to bring disclosure and to grow trust between the business and IT​
• Bachelor’s degree in computer science, engineering or related field​
• Fluent English​
• 5+ years in a software development environment preferably involving cross-team dependencies.

• 13th Salary Fixed and KPI Bonus
• Premium Health Care
• 24/7 Accidental Insurance
• 100% Social Insurance
• Meal + Phone Allowance
• Yearly Medical Checkup
• 15+ Annual Leaves
• Professional and Transparent Working Environment
• Apply Latest Financial Technology in the Worl