Speechify
Software Engineer, Data Infrastructure & Acquisition(m/w/x)
VollzeitRemoteSenior
Zürich
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Dein persönlicher KI-Karriere-Agent
IGiGroove AG
Senior Data Pipeline Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building and scaling AI-driven music label operations platform's data backbone. 5+ years Python web crawling and pipeline orchestration experience required. Remote-friendly with flexible hours.
Anforderungen
- 5+ years building data pipelines/web crawling infrastructure
- Strong Python skills (Scrapy, BeautifulSoup, Selenium, Playwright, or equivalent)
- Experience with pipeline orchestration tools (Airflow, Prefect, or Dagster)
- Solid understanding of databases (PostgreSQL, MongoDB, or similar) and data modeling
- Experience handling messy, inconsistent data and building validation layers
- Comfort with cloud infrastructure (AWS, GCP, or Azure)
- Track record of building reliable, self-supervised systems
- Deep familiarity with AI tools and workflows
- Experience with headless browsers and anti-detection techniques at scale
- Familiarity with music industry, streaming platforms, or media data
- Experience with data warehousing (BigQuery, Snowflake, Redshift)
- Exposure to message queues (Kafka, RabbitMQ, Redis)
- Experience building internal tooling and dashboards
- Systems thinking for crawling/data ingestion infrastructure
- Experience with sites changing layouts, anti-bot systems, rate limits, inconsistent APIs, missing data
- End-to-end pipeline ownership
- Self-directed with architectural decision-making
- Obsessive focus on data quality and validation checks
Aufgaben
- Build and own data ingestion infrastructure
- Own the company's data backbone
- Scale existing data infrastructure
- Improve data infrastructure reliability
- Expand data coverage
- Add new data sources
- Evolve data architecture
- Design new data pipelines
- Build new data pipelines
- Shape external data collection
- Shape external data processing
- Inherit and own existing data infrastructure
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Scrapy
- BeautifulSoup
- Selenium
- Playwright
- Airflow
- Prefect
- Dagster
- PostgreSQL
- MongoDB
- AWS
- GCP
- Azure
- BigQuery
- Snowflake
- Redshift
- Kafka
- RabbitMQ
- Redis
Benefits
Flexibles Arbeiten
- Remote-friendly
- Flexible hours
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens iGroove AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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IGiGroove AG
Senior Data Pipeline Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building and scaling AI-driven music label operations platform's data backbone. 5+ years Python web crawling and pipeline orchestration experience required. Remote-friendly with flexible hours.
Anforderungen
- 5+ years building data pipelines/web crawling infrastructure
- Strong Python skills (Scrapy, BeautifulSoup, Selenium, Playwright, or equivalent)
- Experience with pipeline orchestration tools (Airflow, Prefect, or Dagster)
- Solid understanding of databases (PostgreSQL, MongoDB, or similar) and data modeling
- Experience handling messy, inconsistent data and building validation layers
- Comfort with cloud infrastructure (AWS, GCP, or Azure)
- Track record of building reliable, self-supervised systems
- Deep familiarity with AI tools and workflows
- Experience with headless browsers and anti-detection techniques at scale
- Familiarity with music industry, streaming platforms, or media data
- Experience with data warehousing (BigQuery, Snowflake, Redshift)
- Exposure to message queues (Kafka, RabbitMQ, Redis)
- Experience building internal tooling and dashboards
- Systems thinking for crawling/data ingestion infrastructure
- Experience with sites changing layouts, anti-bot systems, rate limits, inconsistent APIs, missing data
- End-to-end pipeline ownership
- Self-directed with architectural decision-making
- Obsessive focus on data quality and validation checks
Aufgaben
- Build and own data ingestion infrastructure
- Own the company's data backbone
- Scale existing data infrastructure
- Improve data infrastructure reliability
- Expand data coverage
- Add new data sources
- Evolve data architecture
- Design new data pipelines
- Build new data pipelines
- Shape external data collection
- Shape external data processing
- Inherit and own existing data infrastructure
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Scrapy
- BeautifulSoup
- Selenium
- Playwright
- Airflow
- Prefect
- Dagster
- PostgreSQL
- MongoDB
- AWS
- GCP
- Azure
- BigQuery
- Snowflake
- Redshift
- Kafka
- RabbitMQ
- Redis
Benefits
Flexibles Arbeiten
- Remote-friendly
- Flexible hours
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens iGroove AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
iGroove AG
Branche
Entertainment
Beschreibung
The company is revolutionizing the music distribution landscape by empowering artists to reach global audiences with ease and efficiency.
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