Senior Data Engineer

Job title: Senior Data Engineer

About the Role

Join Sigma Software as a Senior Data Engineer to shape the corporate Data Platform that powers analytics and decision-making across the company. This senior role focuses on data architecture, ELT, and self-service analytics. You will collaborate with distributed teams, mentor engineers, and drive platform evolution while leveraging AI-assisted engineering to deliver high-quality solutions.

What You'll Do

• Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decisions.
• Design, implement, and optimize scalable ELT pipelines and data processing solutions, ensuring reliability and performance.
• Drive technical decisions related to data architecture, platform evolution, data modeling approaches, and integration patterns.
• Establish and maintain data governance practices, metadata standards, data lineage, security controls, and access management policies.
• Ensure data quality, observability, monitoring, and operational excellence across the data platform.
• Evaluate and introduce technologies, tools, and best practices to improve platform scalability, efficiency, and maintainability.
• Support and enhance self-service analytics capabilities through Apache Superset and other BI solutions.
• Collaborate with BI Engineers, Business Analysts, and business stakeholders to align data platform capabilities with organizational goals.
• Mentor Data Engineers, conduct technical reviews, and promote engineering best practices.
• Apply AI-assisted engineering practices to improve development efficiency, delivery quality, and platform sustainability.

What We're Looking For

• 5+ years of experience in Data Engineering with proven track record delivering complex data platform and analytics solutions.
• Strong expertise in SQL, Python, relational databases, and data modeling for Data Warehouses and Data Marts.
• Hands-on experience designing and implementing enterprise-scale ELT pipelines and data processing solutions.
• Strong understanding of data architecture, data warehousing, dimensional modeling, and analytical data platforms.
• Experience with orchestration/workflow tools such as Dagster, Airflow, or similar.
• Strong knowledge of data governance, metadata management, data lineage, security, and access control models.
• Experience designing and optimizing analytical workloads, reporting systems, and self-service analytics platforms.
• Understanding of data quality management, monitoring, observability, and operational best practices for data platforms.
• Experience with analytical databases and performance optimization techniques (ClickHouse or similar).
• Strong knowledge of database fundamentals, including indexing, normalization, transactions, and query optimization.
• Hands-on experience in database development, data modeling, and analytical system design.
• Solid understanding of enterprise data architecture principles and modern data platform approaches.
• Strong AI-assisted engineering skills and practical experience using AI tools to improve development efficiency and solution quality.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
• Intermediate English or higher.

Nice to Have

• Experience with Apache Superset, Power BI, or other BI and visualization platforms.
• Real-time or event-driven data processing solutions.
• Building internal data platforms and self-service analytics capabilities.
• Leading engineering teams or acting as a technical lead.

Compensation & Benefits

• Professional growth opportunities, knowledge sharing, and access to modern tools including AI-assisted engineering; fully remote work setup and collaborative environment.