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Data Engineer at xData Group. Location Information: Fully Remote. . xData Group. is a fast-growing leader in the FinTech space, revolutionizing digital payments, blockchain and financial services. With innovation at our core, our mission is to empower individuals and businesses with cutting-edge financial solutions. Join us and play a pivotal role in shaping the future of finance.. We are seeking . a Data Engineer . to support our projects in strengthening our data platform and contributing to the high reliability and performance of our data systems.. As a . Data Engineer. , you’ll be part of a cross-functional data team responsible for managing, optimizing, and evolving our data infrastructure. You’ll work with . BigQuery, PostgresDB, Microsoft SQL,. and support real-time financial data operations, regulatory reporting, product analytics, and fraud monitoring systems.. This role is ideal for someone with a deep understanding of SQL, strong data modeling instincts, and hands-on experience in database tuning within regulated or data-intensive environments.. Responsibilities:. BigQuery Development & Analytics Enablement. -Design and maintain BigQuery datasets, ensuring their scalability and query performance for analytics and reporting within the Data Warehouse scope.. -Develop robust SQL queries using advanced features: . window functions, joins, CTEs, and aggregations.. -Support data modeling for internal dashboards, regulatory reports, and risk analysis. . Collaboration & Automation. -Work with DataOps and backend engineering to support . ETL. . pipelines. -Integrate BigQuery with external services for reporting and compliance. -Document data models, policies, and standards. Qualifications:. -4+ years of hands-on experience with relational databases and SQL. -Strong proficiency in . Google BigQuery. , . PostgresDB and. . Microsoft SQL. -Proficiency in writing, debugging, and optimizing complex SQL queries. -Strong hands-on experience with Google Analytics tools, such as Looker, for data visualization and reporting.. -Experience working in data-sensitive environments (e.g., financial services, payments, banking). -Fluency in English and Russian. Nice to have:. -Exposure to . GCP. -Familiarity with . Kafka. or . dbt. -Experience with . CI/CD pipelines. and Git-based workflows. . What We Offer:. -The opportunity to work on cutting-edge AI-based fintech products. -Flexible working hours and the option to work 100% remotely. -Competitive . salary. and a comprehensive benefits package. -A dynamic, supportive, and collaborative work environment. -Opportunities for continuous learning and professional development. -Sports compensation. -Paid sick leave. . .