Data Engineer, Samba TV

Salary not provided

AWS

GCP

Python

Airflow

Azure

Spark

Senior and Expert level

Amsterdam

Data & measurement for smarts TVs

Open for applications

Data & measurement for smarts TVs

201-500 employees

B2BArtificial IntelligenceAnalyticsMachine LearningSaaSAdvertisingData AnalysisMedia

Open for applications

Salary not provided

AWS

GCP

Python

Airflow

Azure

Spark

Senior and Expert level

Amsterdam

201-500 employees

B2BArtificial IntelligenceAnalyticsMachine LearningSaaSAdvertisingData AnalysisMedia

Company mission

To create data at the heart of TV, powering a more scientific approach to advertising and a better viewing experience for everyone.

Job

Company

Role

Who you are

5 + years of experience in Data Engineering, Software Engineering, or a related field
Must-have expertise in Apache Airflow, Databricks, and PySpark for orchestration, scalable data processing, and transformation
Expertise in Python or strong proficiency in another modern programming language with a willingness to master Python
Deep understanding of distributed data processing frameworks (e.g., Apache Spark, or similar)
Strong knowledge of data modelling, database design, and query optimization for both relational and non-relational databases
Experience with cloud-based data infrastructure (AWS, GCP, or Azure) and modern data lake architectures
Familiarity with CI/CD pipelines and automation tools for data engineering
Excellent problem-solving and communication skills, with the ability to work effectively in a distributed team environment

What the job involves

The Role As a Data Engineer, you will be responsible for developing scalable, high-performance data pipelines and infrastructure that power Samba TV's analytics and insights
You will play a critical role in designing and implementing architectural improvements, ensuring best practices, and optimizing data workflows
You will collaborate closely with Data Science, Analytics, and Product teams to deliver robust, production-ready data solutions that drive business impact
Design, develop, and optimize large-scale data pipelines and infrastructure
Architect scalable and efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security
Collaborate cross-functionally with Data Science, Analytics, and Product teams to translate business needs into data-driven solutions
Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability
Drive best practices for code quality, testing, and software design in data engineering

Our take

Samba TV is improving the TV viewing experience by employing analytics to better personalise adverts and recommendations. With a scientific and algorithmic approach to how smart TVs work, the company enables TV businesses to better capture and serve consumers - an offering which has attracted the likes of Disney.

In recent years, Samba TV has focused on making artificial intelligence and machine learning central to its offerings, in part through the acquisition of Disruptel. This has enabled heightened content recognition and non-intrusive ad unit development, both of which enable it to deliver more value.

Moving forwards, Samba continues to partner and integrate with a wide range of companies to expand its product offering and market reach. Its 2022 expansion into Australia suggests that the company has its sights set on becoming a global force to be reckoned with.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

-7% employee growth in 12 months

Glassdoor (3.62)

Company

Funding (last 2 of 5 rounds)

Apr 2018

$7.5m

EARLY VC

Jun 2017

$30m

SERIES B

Total funding: $45.7m

Company benefits

Health & Wellness
Health Coverage
Volunteer Days
Stock Options
Unlimited PTO
Team & Company Events

Company HQ

China Basin, San Francisco, CA

Leadership

Ashwin Navin

(Co-Founder & CEO)

Previously co-founded i/o ventures and BitTorrent, serving there as President. Experience as an Analyst for Epoch Partners, Merrill Lynch and Goldman Sachs.

David Harrison

(CTO Emeritius)

Previously served as Senior Engineer for BitTorrent, and has experience as a Research Engineer for EECS at UC Berkeley and Rensselaer Polytechnic Institute (RPI).

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