Samba TV

Delivers TV audience measurement and insights

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeWarsaw, PolandPLN312k - PLN395k /yr

About the Job

Requirements

Typically 8+ years of related experience with a bachelor's degree, or 6 years with a master's degree, or 3 years with a PhD.
Advanced knowledge of Python and a deep understanding of distributed data processing frameworks such as Apache Spark or PySpark.
Expertise in Apache Airflow and Databricks for orchestration and scalable data processing.
Extensive experience with cloud-based data infrastructure, including AWS or 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.
Ability to adapt communication style and use persuasion when delivering messages related to the wider firm's business.

Responsibilities

Lead the design and development of scalable, high-performance data pipelines and infrastructure powering Samba TV's analytics.
Resolve complex technical issues effectively while understanding interrelationships among disciplines.
Lead the design, build, and maintenance of high-scale production datasets, ensuring versioned outputs and reliable customer-facing reports.
Manage the end-to-end lifecycle of data features, including adding attributes, updating business logic, and conducting safe rollouts from staging through performance checks to production, including complex backfills and reprocessing.
Architect scalable and efficient data ingestion, transformation, and storage solutions that ensure performance, reliability, and security, and proactively reduce compute and storage costs.
Serve as technical lead for production incidents by investigating root causes, implementing permanent fixes, and validating data recovery across the ecosystem.
Network with key contacts outside the area of expertise and advise others on complex matters.
Guide the development of new policies and ideas while mentoring and guiding other engineers to foster technical excellence.
Enhance monitoring and observability of data processes to improve debugging, error detection, and system reliability at scale.
Collaborate with Data Science, Analytics, and Product teams to deliver robust, production-ready data solutions.

Salary Range: 312000 to 395000 (Currency: PLN) (Pay period: per-year-salary)

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

As a Senior Data Engineer, you will be responsible for leading the development of scalable, high-performance data pipelines and infrastructure that power Samba analytics and insights. You will play a critical role in designing and implementing architectural improvements, ensuring best practices, and mentoring a team of engineers. You will collaborate closely with Data Science, Analytics, and Product teams to deliver robust, production-ready data solutions that drive business impact.

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.

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

About the Company

Samba TV

Delivers TV audience measurement and insights

Samba TV collects and analyzes TV viewing data to help advertisers, broadcasters, and content creators understand what people watch. It embeds its technology in about 35 million smart TVs across 20 brands, creating a large viewership database and a household identity graph. The system works by using a proprietary multi-source panel from participating TVs to gather viewing activity, then turning that data into insights and analytics that clients can use to plan ads, optimize content, and measure performance. What sets Samba TV apart is the size and scope of its data: it claims the largest end-to-end viewership dataset and identity graph in the industry, with a panel hundreds of times larger than typical measurements and broad brand partnerships, while offering privacy controls for viewers who opt in or out. The company aims to provide data-driven, actionable insights to improve advertising effectiveness and content delivery across the global smart TV market.

Company size: 201-500
Company stage: Debt Financing
Total funding: $75.7M
Headquarters: San Francisco, CA
Founded: 2008

Recently Posted Jobs

Explore more opportunities at Samba TV

See more jobs