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Data Engineer

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Job 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. You’ll 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.

Job Responsibility:

  • 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

Requirements:

  • 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
What 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
  • Options to work remotely
  • Corporate medical insurance covering services of private and public medical centers
  • English courses online
  • Corporate parties and events for employees and their children
  • Internal conferences, workshops and meetups for learning and experience sharing
  • Gym membership compensation
  • 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Additional Information:

Job Posted:
February 17, 2026

Work Type:
Remote work
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