DWH Team:

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.

We are looking for an Analytics Engineer for our Risk Domain.

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

Our benefits:

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

Analytics Engineer jobs

Senior Analytics Engineer

Analytics Engineer [DWH, Risk Domain]

Analytics Engineer [DWH]

Senior Analytics Engineer

Analytics Engineer [DWH, Risk Domain]

Analytics Engineer [DWH]