Senior Data Engineer
Warsaw
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: International Full Time Employee
From the employer’s posting
What you’ll work on
Full postingDesign and build scalable, high-performance data pipelines and infrastructure
Manage data feature rollouts, backfills and reprocessing across staging and production
Lead technical response to production incidents and implement permanent fixes
Drive down compute and storage costs while keeping pipelines reliable
Mentor engineers and improve monitoring and observability of data processes
From the employer’s posting
Lead the design and development of scalable, high-performance data pipelines and infrastructure that power Samba TV's analytics.
executing safe rollouts (staging → performance check → production), including complex backfills and reprocessing
Serve as a technical lead for production incidents. Investigate root causes, implement permanent fixes
Proactively drive down compute and storage costs.
mentoring and guiding other engineers to foster a culture of technical excellence.
What you’ll bring
All qualificationsCore experience
- Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD).
- Data Modeling: Strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases.
- Communication: Ability to adapt your communication style and use persuasion when delivering messages that relate to the wider firm business.
Qualification wording
Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD).
Data Modeling: Strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases.
Communication: Ability to adapt your communication style and use persuasion when delivering messages that relate to the wider firm business.
Education & alternatives
Who You Are - Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD). - Technical Mastery: Advanced knowledge of Python and deep understanding of distributed data processing frameworks like Apache Spark or PySpark.
Tools in this posting
- Python
- AWS
- Databricks
- GCP
- Spark
- Airflow
- PySpark
Source — Tool mentions in context
- Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD). - Technical Mastery: Advanced knowledge of Python and deep understanding of distributed data processing frameworks like Apache Spark or PySpark. - Orchestration Expertise: Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing.
- Orchestration Expertise: Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing. - Infrastructure: Extensive experience with cloud-based data infrastructure (AWS, GCP) and modern data lake architectures. - Data Modeling: Strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases.
- Technical Mastery: Advanced knowledge of Python and deep understanding of distributed data processing frameworks like Apache Spark or PySpark. - Orchestration Expertise: Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing. - Infrastructure: Extensive experience with cloud-based data infrastructure (AWS, GCP) and modern data lake architectures.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026 · 198 days ago
- Recorded sightings
- 187
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Mar 23, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
What You'll Do
- Architectural Leadership: Lead the design and development of scalable, high-performance data pipelines and infrastructure that power Samba TV's analytics.
- Complex Problem Solving: Resolve complex technical issues in creative and effective ways, understanding the interrelationships of different disciplines.
- Production Dataset Management: Lead the design, build, and maintenance of high-scale production datasets. Ensure the delivery of versioned outputs and reliable customer-facing reports.
- Schema Evolution & Lifecycle: Manage the end-to-end lifecycle of data features - adding new attributes, updating business logic, and executing safe rollouts (staging → performance check → production), including complex backfills and reprocessing.
- Performance & Cost Engineering: Architect scalable and efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security. Proactively drive down compute and storage costs.
- Incident Response & Debugging: Serve as a technical lead for production incidents. Investigate root causes, implement permanent fixes, and validate data recovery across the ecosystem.
- Cross-Functional Influence: Network with key contacts outside your own area of expertise and frequently advise others on complex matters.
- Mentorship: Guide the development of new policies and ideas while mentoring and guiding other engineers to foster a culture of technical excellence.
- Observability: Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability at scale.
Who You Are
- Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD).
- Technical Mastery: Advanced knowledge of Python and deep understanding of distributed data processing frameworks like Apache Spark or PySpark.
- Orchestration Expertise: Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing.
- Infrastructure: Extensive experience with cloud-based data infrastructure (AWS, GCP) and modern data lake architectures.
- Data Modeling: Strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases.
- Software Excellence: Proven track record of driving best practices for code quality, testing, and software design in a data engineering context.
- Communication: Ability to adapt your communication style and use persuasion when delivering messages that relate to the wider firm business.
Employment type
International Full Time Employee
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw
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- Work authorization
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