Senior Data Engineer

🔥 12 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

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

• Develop a deep understanding of core products, including legacy code and multiple services • Proactively identify and implement solutions for problems, inefficiencies, risks, technical gaps, and improvement areas • Negotiate with product engineering teams to gain buy-in for change implementation • Plan short-term wins and long-term improvement strategies • Maintain and enhance existing data processes for reliability, performance, and scalability • Build a comprehensive understanding of existing tables, data flows, and jobs • Drive reliability and performance improvements across data workflows • Own and execute data process modernization initiatives • Collaborate cross-functionally to ensure architectural alignment and best-practice adoption

🎯 Requirements

• 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 (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 • Practical experience with Airflow for workflow orchestration is nice-to-have

🏖️ Benefits

• Remote work option • Full-time employment

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