Senior Software Engineer Data

About Pocket FM

At our core, we are an AI-powered entertainment company with a deeply human-first philosophy. We believe technology should amplify creativity. Our proprietary AI systems work alongside writers, voice artists, and creative teams to help stories scale globally, faster, smarter, and with cultural depth and emotional integrity intact.

Today, Pocket FM is home to a vibrant community of 250+ million listeners, 300,000+ creators, and 100,00+ audio series. With over 140 billion minutes streamed annually, we have emerged as one of the fastest-growing media-tech companies in the world, and we are just getting started. We operate at a massive global scale, but with a startup mindset: curious, fast-moving, and deeply owner-driven. At Pocket FM, teams are encouraged to think boldly, move with intent, and build for long-term impact as we shape the future of audio-first storytelling worldwid

e
Role Overvie

w:We are seeking a talented AI & Data Engineer to join our team. In this role, you will design, build, and maintain robust data pipelines while developing and deploying cutting-edge AI solutions. You will work at the intersection of data engineering and artificial intelligence, leveraging modern cloud platforms and AI frameworks to drive business valu

e.
Key Responsibiliti

es:
Data Infrastructure & Pipeline Developm

ent:Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of user interaction data, content metadata, and streaming analy

ticsBuild and optimize data warehouses and data lakes to support both real-time and batch processing requirem

entsImplement data quality monitoring and validation frameworks to ensure data accuracy and reliabi

lityDevelop automated data ingestion systems from various sources, including mobile apps, web platforms, and third-party integrat

ions
Analytics & Reporting Infrastruc

ture:Create and maintain data models that support business intelligence, user analytics, and content performance me

tricsBuild self-service analytics platforms enabling stakeholders to access insights independ

entlyImplement real-time dashboards and alerting systems for key business me

tricsSupport A/B testing frameworks and experimental data analysis require

ments
Data Architecture & Optimis

ation:Collaborate with software engineers to optimize database performance and query effi

ciencyDesign data storage solutions that balance cost, performance, and accessibility requir

ementsImplement data governance practices including data cataloging, lineage tracking, and access co

ntrolsEnsure GDPR and data privacy compliance across all data s

ystems
Collaboration &

SupportWork closely with data scientists, product managers, and analysts to understand data requi

rementsParticipate in code reviews and maintain high standards of code quality and docume

ntationMentor junior team members and contribute to knowledge-sharing init

iatives
Required Qualific

ations: Programming Languages: Proficiency in Pyt

hon, SQLBig Data Technologies: Hands-on experience with Apache Spark, Kafka, Airflow, and distributed computing fr

ameworksCloud Platforms: Strong experience with AWS(S3, E

MR etc.)Database Systems: Expertise in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) d

atabasesData Warehousing: Experience with modern data warehouse solutions like Databricks, Snowflake or

BigQueryContainerization: Proficiency with Docker and Kubernetes for deploying data appl

ications
Experience Requi

rements: 4 to 6 years of experience in data engineering or rela

ted rolesProven track record of building and maintaining production data pipelines

at scaleExperience with streaming data processing and real-time analytic

s systemsStrong understanding of data modeling, schema design, and data architecture p

rinciplesExperience with version control systems (Git) and CI/CD

pipelines
Advanced Technica

l Skills :Understanding of data mesh architecture and domain-driven d

ata designExperience with data privacy and security imple

mentationsAgentic-AI automation approach for Data and

Analytics

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