We are looking for an Analytics Engineer for our DWH. Our bank runs on data-driven processes, and the DWH team plays a central role in enabling that. We are responsible for building and maintaining data pipelines from all internal and external sources, developing data marts for reporting and analytics, and creating a toolchain that simplifies working with data across the сompany.

In this role, you will partner directly with business stakeholders and act as a bridge between business and engineering. You will work deeply with risk data (risk engine, credit bureau, payments, risk indicators), building scalable, production-ready solutions on top of our DWH, while contributing to the development of the domain through data modeling, solution design, and close collaboration with business stakeholders.

 

Challenges that await you:

• Collaborating with Risk domain stakeholders to formalize and translate their data needs into structured ETL requirements
• Decomposing risk-related domains (applications, rules, features, decision logic) into clear and maintainable data models
• Analyzing potential data sources across raw and processed layers to identify optimal integration points
• Designing logical data models and supporting the implementation of scalable ETL pipelines and data marts within the DWH
• Defining and aligning key risk metrics (e.g. DPD buckets, default flags, aggregates) with business stakeholders
• Coordinating and optimizing data flows between risk processes and core DWH components
• Validating and iterating on data solutions together with business users
• Ensuring data solutions are production-ready (scheduling, optimization, maintainability)
• Contributing to the DWH knowledge base by documenting data lineage, transformations, and business rules
• Promoting a strong data culture and proactively contributing to the development of the risk data domain

 

What makes you a great fit:

• 2-3 years of experience as a Data Analyst/ Analytics Engineer or System Analyst DWH is required
• Strong domain expertise in the Risk or Finance domain
• Knowledge of the data analysis techniques
• Strong hands-on experience with SQL at the level of writing complex queries
• Understanding of data modeling and data warehousing concepts
• Open mind for problem-solving and good troubleshooting skills
• Strong communication and collaboration skills to effectively work with cross-functional teams, including data engineers, analysts, and stakeholders, to deliver high-quality data solutions
• Ability to work independently and as part of a team
• Attention to detail and strong organizational skills
• B1 or higher English level for effective communication with an international team

 

Our ways of working:

• Innovative Spirit: A commitment to creativity and groundbreaking solutions
• Honest Feedback: valuing open, transparent communication
• Supportive Team: a strong, collaborative community
• Celebrating Achievements: recognizing our wins together
• High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

• Relocation support to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family
• Flexible work from one of our offices or remote
• Healthcare Coverage
• Education Budget: Language lessons, professional training and certifications
• Wellness Budget: Mental health and fitness activity reimbursements
• Vacation policy: 20 days of annual leave and paid sick leave