The Сustomer provides comprehensive cybersecurity solutions designed to protect individuals, organizations, and communities. Operating across various sectors, the company addresses vulnerabilities and ensures protection against a wide range of risks, especially in the digital space.
Job DescriptionThe product is a solution to safeguard applications from automated attacks.
The engineer is expected to operate as a core member of a small, high-autonomy, proactive team focused on:
developing a deep understanding of a core products including legacy code and multiple services;
proactively finding problems, inefficiencies, risks, technical gaps and areas for improvement, implementing them;
negotiating with product engineering teams to get buy-in for changes implementation;
planning short-term wins and long-term improvement strategy.
Responsibilities:
• Maintain and enhance existing data processes, ensuring reliability, performance, and scalability;
• Build a full understanding of existing tables, flows, and jobs - what the data is, where it's used, where it can be improved, where to build new ones;
• Drive system reliability and performance improvements across all data workflows;
• Own and execute data process modernization initiatives;
• Collaborate cross-functionally to ensure architectural alignment and best-practice adoption.
Must-Have Requirements:
• 5+ years of overall experience in Data Engineering;
• Expert-level SQL skills: being able to optimize complex queries for latency and performance;
• Proficiency with DBT for data transformation and modeling;
• Strong data engineering fundamentals and database knowledge (DDL/DML/SQL);
• Hands-on experience with Snowflake and Elastic;
• Deep experience building, scaling, and managing large-scale data pipelines;
• Proven ability to work independently, take ownership, and drive initiatives to completion.
Nice-to-Have:
• Practical experience with Airflow for workflow orchestration.
Timezone: EU/Ukraine
Skills Required
- 5+ years of overall experience in data engineering
- Expert-level SQL skills, including optimizing complex queries for latency and performance
- Proficiency with dbt for data transformation and modeling
- Strong data engineering fundamentals and database knowledge, including DDL, DML, and SQL
- Hands-on experience with Snowflake and Elastic
- Deep experience building, scaling, and managing large-scale data pipelines
- Ability to work independently, take ownership, and drive initiatives to completion
- Practical experience with Airflow for workflow orchestration
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
