Senior Data Engineer – Cybersecurity

Job not on LinkedIn

🔥 5 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization • Analyze and deeply understand existing data models, workflows, tables, and processing jobs • Identify technical gaps, bottlenecks, inefficiencies, and opportunities for architectural improvements • Design, optimize, and support large-scale data pipelines and transformation processes • Drive modernization initiatives across the data platform and contribute to long-term architectural evolution • Optimize complex SQL queries and improve data processing latency and efficiency • Collaborate with product engineering and cross-functional teams on technical solutions and implementation strategies • Contribute to short-term delivery goals and long-term platform development initiatives • Ensure adherence to best practices in data engineering, system reliability, and performance optimization • Participate in technical discussions, solution design, and continuous improvement initiatives

🎯 Requirements

• 5+ years of commercial experience in Data Engineering • Expert-level Python skills • Expert-level SQL skills with practical experience optimizing complex queries for performance and scalability • Strong hands-on experience with DBT for data transformation and modeling • Solid understanding of database concepts, including DDL, DML, indexing, normalization, and advanced SQL techniques • Hands-on experience working with Snowflake • Experience with Elastic Stack technologies • Proven experience designing, building, and maintaining large-scale data pipelines • Strong analytical thinking and problem-solving skills • Ability to work independently in a high-autonomy engineering environment • Experience driving technical initiatives from idea through implementation • Strong communication and collaboration skills • Upper-Intermediate English level or higher • Experience with Airflow for workflow orchestration is a plus

🏖️ Benefits

• Employees can work remotely • Opportunity to shape scalable data infrastructure used in cybersecurity products • Opportunity to influence architectural decisions and drive meaningful improvements • Continue growing professionally • Collaboration with experienced international teams

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