Analytics Engineer Middle+ (DWH)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Worldwide; remote work or work from one of the offices. Relocation support is available to hubs in Cyprus, Serbia, Georgia, or Kazakhstan.
Company
is a data-driven banking and fintech company building products and services supported by centralized data infrastructure.
What you will do
- Collaborate with product, risk, and other domain teams to translate data needs into structured ETL requirements.
- Analyze raw and processed data sources and identify effective integration points.
- Design logical data models and support the implementation of scalable ETL pipelines and data marts.
- Coordinate and optimize data flows between domain processes and core DWH components.
- Document data lineage, integration points, and business rules in the DWH knowledge base.
- Promote consistent data practices and a strong data culture among analysts.
Requirements
- 2β3 years of experience as a Data Analyst.
- Bachelorβs degree in Computer Science, Engineering, or a related field.
- Strong SQL skills, including writing complex queries.
- Understanding of data analysis techniques, data modeling, and data warehousing concepts.
- Strong troubleshooting, communication, collaboration, organizational, and independent-work skills.
- English at B1 level or higher for communication with an international team.
Nice to have
- Experience with DWH or banking.
- Knowledge of dbt and Airflow.
- Understanding of Data Vault principles.
- Knowledge of Spanish.
Culture & Benefits
- Innovative, high-tech environment focused on challenging established financial practices.
- Open feedback, transparent communication, and collaborative teamwork.
- Flexible work from an office or remotely.
- Healthcare coverage and wellness reimbursements for mental health and fitness activities.
- Education budget for language lessons, professional training, and certifications.
- 20 days of annual leave and paid sick leave, with relocation assistance for employees and their families.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β