
Posted 7 days ago
Senior Data Engineer
AI Summary
Maintains and modernizes large-scale data pipelines for a cybersecurity product, improving reliability, performance and scalability. Works autonomously to map data flows, drive optimization initiatives and align architecture with product teams.
About this role
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.
The 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.
## QualificationsMust-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.
## Additional InformationTimezone: EU/Ukraine
Skills
Explore related jobs
More jobs at Sigma Software
Similar Data Pipelines jobs
- J
Airflow Platform EngineerJade Global Software Pvt LTD · Hyderabad, Telangana - P
Data Engineer with AirflowPoland and Central-Eastern Europe · Bulgaria - S
Airflow Python DeveloperSutherland · Hyderabad, TS - C
Category Manager - AirflowCFO Trane U.S. Inc.-CFO · Davidson, North Carolina - B
Airflow Operator 3rd ShiftBurke Aerospace · Farmington, Connecticut - B
Airflow Operator 2nd shiftBurke Aerospace · Farmington, Connecticut
Jobs in Warsaw
- SJunior AI-Native EngineerSoftwareOne · Warsaw, Poland
- SSpace Consulting Senior ConsultantSopra Steria · Warsaw, Poland
- AMid Category Management - Shocks & StrutsAutodoc · Warsaw, Masovian Voivodeship
- RJunior Logistics ManagerRed Bull · Warsaw, Masovian Voivodeship
- ISenior Deal Desk AnalystInfoblox · Warsaw, Poland
- EAV Field TechnicianEOS · Gdańsk, Pomeranian Voivodeship
Browse these categories
Market data for data engineer roles
All reports →- SeriesRole reportsOne role family at a time: how many openings, what changed this week, who is hiring, what it pays.
- SeriesSalary reportsWhat employers publish in job postings, by level and workplace. Not self-reported pay.
- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.