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Senior Data Engineer
Warsaw, Masovian Voivodeship, Poland
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingMaintain and enhance existing data processes for reliability, performance and scalability
Map existing tables, flows and jobs, and find where to improve or build new ones
Drive reliability and performance improvements across all data workflows
Own and execute data process modernization initiatives
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 5+ years of data engineering experience
- Expert-level SQL, including optimizing complex queries for latency and performance
- Proficiency with DBT for transformation and modeling
- Hands-on experience with Snowflake and Elastic
- Experience building, scaling and managing large-scale data pipelines
Preferred experience
- Practical experience with Airflow for workflow orchestration
Qualification wording
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
Hands-on experience with Snowflake and Elastic
Deep experience building, scaling, and managing large-scale data pipelines
Practical experience with Airflow for workflow orchestration
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Sigma Software is hiring
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- dbt
- Snowflake
- Airflow
Where the posting names them
• 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;
• 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;
• 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);
• 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 Information
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Sigma Software posted this job before?
Yes. We’ve followed 7 other Senior Data Engineer jobs there since August 2026. 4 came down, usually after about 5 days. 3 are still up.
If this one keeps the same pace, it may come down around November 7.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
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.
Qualifications
Must-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 Information
Timezone: EU/Ukraine
Company Description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Masovian Voivodeship, Poland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.