Sigma Software

Join our internal data-driven initiative as a Senior Data Engineer and help shape Sigma Software’s corporate Data Platform that powers analytics and decision-making across the company. This is a Senior-level role with a strong focus on data architecture, ELT, and self-service analytics. You will work in a primarily remote setup with close collaboration across distributed teams, partnering with BI Engineers, Business Analysts, and business stakeholders. We at Sigma Software are building a scalable, reliable, and secure data foundation to support reporting, analytics, and operational insights company-wide. In this role, you will influence platform evolution, introduce modern data engineering practices, and mentor other engineers. You will also benefit from a culture that supports professional growth, knowledge sharing, and the use of modern tools, including AI-assisted engineering, to deliver high-quality solutions efficiently. CUSTOMER This is an internal Sigma Software initiative. You will work directly with Sigma Software’s business units and internal stakeholders, helping them leverage data to improve operational efficiency, reporting, and strategic decision-making across the organization. PROJECT The project focuses on building and evolving Sigma Software’s corporate Data Platform (DPS) to improve data quality, automate reporting, and enable self-service analytics. You will design and enhance Data Warehouses and Data Marts, implement scalable ELT pipelines, and support analytical workloads that serve multiple business domains within the company. The platform is being developed with a strong emphasis on data governance, observability, and operational excellence. Key technologies: SQL, Python, ELT pipelines, orchestration tools (Dagster, Airflow or similar), analytical databases (e.g., ClickHouse), Apache Superset, BI and visualization tools