Description :

We are seeking an experienced Data Engineer to help scale a growing BI platform in the real estate industry. In this role, you will design and build robust, high-performance data pipelines grounded in strong data modeling principles.

Youll join a highly skilled development team working with a modern, progressive technology stack, while also exploring emerging technologies, including AI and ML, to continuously enhance the platforms and services we deliver to our customers.

What You'll Do :

- Design and build ETL/ELT pipelines

- Optimize data workflows for performance, reliability, and maintainability

- Collaborate with BI analysts and stakeholders

- Write and optimize complex SQL & PySpark queries

- Implement data quality checks and monitoring to ensure data integrity

- Follow and promote data best practices and standards.

Must-have :

- 3+ years of hands-on experience as a Data Engineer

- Strong proficiency in SQL

- Proven experience designing, building, and maintaining ETL/ELT pipelines

- Solid knowledge of data modeling

- Experience with at least one orchestration tool (Azure Data Factory preferred; SSIS, Apache Airflow, AWS Glue, Talend, or similar)

- Experience with at least one relational database (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, or DB2)

- Ability to optimize and tune OLAP and OLTP queries

- Experience working with cloud platforms (Microsoft Azure preferred)

- Familiarity with Git

- Experience with Python & PySpark

- Hands-on experience working in an Agile/Scrum development environment

- Upper-Intermediate English or higher (written and spoken)

Nice-to-have :

- Exposure to modern cloud data platforms and reporting tools (e.g. Microsoft Fabric, Databricks, Snowflake, Power BI, Tableau)

- Experience designing scalable, high-performance data architectures

- Knowledge of data governance, data quality, and security best practices

- Experience with NoSQL databases (Azure Cosmos DB, Mongo, Cassandra, etc.)

- Experience with AI/ML data pipelines or analytics use cases

- Experience with unit and integration testing

- Experience working in the real estate or similar data-intensive domains

We offer :

- Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota

- Competitive compensation that depends on your qualification and skills

- Career development system with clear skill qualifications

- Flexible working hours aligned to your schedule

- Compensation of medical costs

- English courses online

- Internal conferences, workshops and meetups for learning and experience sharing

- Gym membership compensation, corporate sport competitions (cybersport included)