We are looking for a Senior Data Engineer to join a global Data & Analytics modernization initiative for a company operating in the fire and life safety industry.
The team is transforming legacy and Excel-based reporting processes into a modern Snowflake-based analytics environment. The project focuses on building scalable data solutions, improving reporting capabilities, ensuring data quality, and supporting business-critical analytics across international operations.
This is an opportunity to work with modern cloud data technologies while solving real-world challenges related to data migration, validation, reconciliation, and reporting modernization.
Job Description- Design, develop, and maintain data solutions in Snowflake
- Develop and optimize complex SQL queries and data transformations
- Support migration of legacy and Excel-based processes into Snowflake
- Design and improve data models for reporting and analytics
- Perform data validation and reconciliation between legacy and modern data sources
- Ensure data quality, consistency, and reliability across solutions
- Troubleshoot and resolve complex data-related issues
- Collaborate with business stakeholders and analytics teams to define data requirements
- Work independently and take ownership of data engineering activities
- Strong hands-on experience with Snowflake
- Strong SQL expertise
- Solid experience with data warehousing concepts and practices
- Experience with data modeling and data transformation
- Experience with data migration, validation, and reconciliation
- Good understanding of data quality principles
- Strong analytical and troubleshooting skills
- Ability to work independently in a distributed environment
- Good communication and collaboration skills
- English level: Upper-Intermediate or higher
Skills Required
- Strong hands-on experience with Snowflake
- Strong SQL expertise
- Experience with data warehousing concepts and practices
- Experience with data modeling and data transformation
- Experience with data migration, validation, and reconciliation
- Understanding of data quality principles
- Strong analytical and troubleshooting skills
- Ability to work independently in a distributed environment
- Good communication and collaboration skills
- English level: Upper-Intermediate or higher
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
