Analytics Engineer [DWH] Junior+/Middle

We are looking for an Analytics Engineer to join our DWH team.

Our bank runs on data-driven processes, and the DWH team plays a central role in enabling them. We build and maintain data pipelines from internal and external sources, develop data models and marts for reporting and analytics, and create tools that make working with data across the organization more reliable and scalable.

In this role, you will work at the intersection of analytics and data engineering, helping domain teams such as Product and Risk turn business requirements into reliable, production-grade data models and transformations. You will work across the data lifecycle — from analysing sources and designing data models to building, improving, and optimising ETL/ELT processes and data marts.

Team Timezone

LATAM

Challenges that await you

Translating business and analytical requirements into scalable data models and ETL/ELT solutions

Analyzing raw and processed data sources to identify the most suitable integration points

Designing and developing logical data models and data marts for domain teams

Building, maintaining, and optimizing data transformations using SQL and dbt

Improving existing data flows and models for scalability, maintainability, and performance

Investigating data quality issues and inconsistencies across sources, transformations, and data marts

Collaborating with analysts and data engineers to integrate domain-specific data processes with core DWH components

Documenting data models, lineage, integration points, and business rules to maintain a reliable DWH knowledge base

What makes you a great fit

2–3 years of experience in a similar role, such as Analytics Engineer, DWH Analyst, Data Analyst, or Data Engineer, with hands-on experience working with data warehouses

Strong SQL skills, including complex queries, joins, aggregations, CTEs, window functions and data transformations

Hands-on experience with data modeling, data transformations, and building or maintaining data marts

Hands-on experience building and maintaining ETL/ELT transformations and data models using dbt or similar data transformation frameworks

Good understanding of data quality principles and ability to troubleshoot data issues

Ability to translate business requirements into structured data solutions

Strong problem-solving skills and ability to work independently

Strong communication skills and experience working with analysts, data engineers, and other stakeholders

B1+ English for communication within an international team

Your bonus skills

Experience in Banking or Fintech

Experience with workflow orchestration tools such as Airflow

Understanding of Data Vault or dimensional modeling approaches

Experience working with large datasets

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

HealthcareCoverage

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

Originally posted on Himalayas