Senior Data Engineer

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decision-making • Design, implement, and optimize scalable ELT pipelines and data processing solutions, ensuring reliability, performance, and maintainability • 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 that improve platform scalability, efficiency, and maintainability • Support and enhance self-service analytics capabilities through Apache Superset and other BI solutions • Collaborate closely 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 across the team • Apply AI-assisted engineering practices to improve development efficiency, delivery quality, and platform sustainability

🎯 Requirements

• 5+ years of experience in Data Engineering • Strong expertise in SQL, Python, relational databases, and data modeling techniques 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 and workflow management tools such as Dagster, Airflow, or similar platforms • 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 (e.g., ClickHouse or similar technologies) • 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 effectively with technical and non-technical stakeholders • Intermediate English or higher

🏖️ Benefits

• culture that supports professional growth • knowledge sharing • use of modern tools, including AI-assisted engineering