Senior Data Engineer

Samba; Województwo mazowieckie; On-site; PLN 260,000 - 360,000; Full time

Job summary

Samba seeks an experienced data engineering leader to design and optimize scalable data pipelines powering analytics and insights. You will collaborate with Data Science, Analytics, and Product teams to deliver production-ready data solutions that drive business impact.

The role emphasizes architectural improvements, best practices, and mentoring a team of engineers, with a focus on reliability, performance, and security in cloud data lakes.

Qualifications

• 8+ years of related experience or equivalent practical experience.
• Advanced Python and distributed data processing.
• Expertise with Apache Spark or PySpark and modern data pipelines.

Responsibilities

• Lead architecture and design of scalable, high-performance data pipelines.
• Manage production datasets and versioned outputs for customer-facing reports.
• Govern end-to-end lifecycle of data features with safe rollouts and backfills.
• Engineer cost-aware data ingestion, transformation, and storage solutions.
• Lead incident response and perform root-cause analysis with permanent fixes.
• Improve observability and monitoring of data processes at scale.
• Mentor engineers and advocate best practices in data engineering.

Skills

Python

Distributed data processing

Apache Spark / PySpark

Apache Airflow

Databricks

AWS / GCP

Data modeling

Code quality & testing

Communication

Education

Bachelor's degree

Master's degree

PhD (optional)

Tools

Apache Airflow

Databricks

Apache Spark

PySpark

AWS

GCP

Job description

Samba connects the advertising industry. Today, a trillion dollars of media flows through platforms that don’t talk to each other, and each one measures its own results. We built the independent alternative: consented first-party data and AI that give the world’s biggest advertisers, publishers, and platforms one clear view across all of it.

The next era of advertising will run on AI agents, and those agents will need data they can trust. We’re building that foundation, and the agents that act on it. Join us and help build what the industry runs on.

About The Role

You lead the development of scalable, high-performance data pipelines and infrastructure that power Samba analytics and insights. You play a critical role in designing architectural improvements, ensuring best practices, and mentoring a team of engineers, working closely with Data Science, Analytics, and Product teams to deliver production-ready data solutions that drive business impact.

What You'll Do

• Lead Architecture: Lead the design and development of scalable, high-performance data pipelines and infrastructure that power Samba's analytics, and resolve complex technical issues in creative and effective ways.
• Manage Production Datasets: Lead the design, build, and maintenance of high-scale production datasets, delivering versioned outputs and reliable customer-facing reports.
• Evolve Schemas Safely: Manage the end-to-end lifecycle of data features, adding attributes, updating business logic, and executing safe rollouts (staging, performance check, production), including complex backfills and reprocessing.
• Engineer Performance and Cost: Architect efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security, and proactively drive down compute and storage costs.
• Lead Incident Response: Serve as technical lead for production incidents: investigate root causes, implement permanent fixes, and validate data recovery across the ecosystem.
• Improve Observability: Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability at scale.
• Influence and Mentor: Network with key contacts outside your area and advise others on complex matters, guide new policies and ideas, and mentor engineers to foster a culture of technical excellence.

What You Bring

• Typically 8+ years of related experience with a Bachelor's degree (6+ with a Master's, or 3+ with a PhD), or equivalent practical experience.
• Advanced Python and a deep understanding of distributed data processing frameworks like Apache Spark or PySpark.
• Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing.
• Extensive experience with cloud-based data infrastructure (AWS, GCP) and modern data lake architectures.
• Strong knowledge of data modeling, database design, and query optimization for relational and non-relational databases.
• A proven track record of driving best practices for code quality, testing, and software design in data engineering.
• Able to adapt your communication style and use persuasion when delivering messages that relate to the wider business.

Samba is an equal opportunity employer.

Your personal information

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