Senior Data Engineer – Cybersecurity

Sigma Software Group

. Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization .

Posted 11/11/2026full-timeRemote • UkraineSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering with a strong focus on optimizing SQL queries, designing large-scale data pipelines, and driving modernization initiatives. Proficient in Python and DBT, with a solid understanding of database concepts and experience in collaborative technical environments.

Highest-signal resume keywords

Expert-Level Python SkillsExpert-Level SQL SkillsDBT for Data TransformationSnowflake ExperienceLarge-Scale Data Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQL OptimizationData Pipeline DesignData ModelingDatabase ConceptsPerformance OptimizationArchitectural ImprovementsData ProcessingWorkflow OrchestrationAnalytical Thinking

Soft Skills

Problem-SolvingCommunicationCollaborationIndependent WorkAnalytical Thinking

Tools & Technologies

DBTSnowflakeElastic StackAirflow

Industry Keywords

Data ProcessesData ModelsPerformance OptimizationSystem ReliabilityTechnical Initiatives

Tech Stack

Tools & technologies

AirflowPythonSnowflakeSQL

About the role

Key responsibilities & impact

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 both 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

What you’ll need

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

Comp & perks

Opportunity to shape scalable data infrastructure used in cybersecurity products operating at scale
Environment where engineers can influence architectural decisions and drive meaningful improvements
Opportunity to continue growing professionally
Collaboration with experienced international teams