Analytics Engineer Middle+ [DWH]

 Posted a day ago
     
2-5 years experience
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AI Summary

The Analytics Engineer will build and maintain data pipelines while developing data marts to support reporting and analytics. They will act as a bridge between business logic and data engineering to ensure the delivery of reliable, production-grade data flows.

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 organization.
As we expand, we’re developing a new class of analysts focused on enabling domain teams - such as product and risk analytics - by helping them structure, improve, and scale their ETL processes. These analysts act as a bridge between business logic and data engineering, ensuring the delivery of reliable, well-documented, and production-grade data flows.

Challenges that await you:

  • Collaborating with domain teams to formalize and translate their data needs into structured ETL requirements
  • Analyzing potential data sources both in raw and processed layers to identify optimal points of integration
  • Designing logical data models and supporting teams in implementing efficient, scalable ETL pipelines and datamarts
  • Coordinating and optimizing data flows between domain-specific processes and core DWH components
  • Contributing to the DWH knowledge base by documenting data lineage, integration points, and business rules
  • Promoting a strong data culture among analysts

What makes you a great fit:

  • 2-3 years of experience as a Data Analyst required
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Knowledge of the data analysis techniques
  • Knowledge of 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

Your bonus skills:

  • Work experience in the DWH
  • Work experience in the banking sphere
  • Knowledge of the DBT, Airflow frameworks (heavy plus)
  • Understanding Data Vault principles
  • Knowledge of Spanish
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

 

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