About the Role As a Senior Data Engineer you will own the data pipelines and infrastructure behind Gieni Explorer — a large-scale intelligence platform covering 6.5M+ companies across 150+ countries.
This is a high-impact role at the core of the product. You will design and scale the systems that power real-time ABX (Account-Based Execution) workflows, ensuring data is accurate, fresh, and reliable at all times.
This is not just about building pipelines — it’s about owning data quality and turning it into a competitive advantage.
Why Join
Own a critical product layer — not just infrastructure support
Work with large-scale, global datasets in a fast-evolving environment
Operate at the intersection of data engineering and AI
High level of autonomy and technical ownership
Direct impact on systems used in real-time decision-making
What You’ll Do
Own the end-to-end data ingestion pipeline: crawling, parsing, classification, and entity resolution
Ensure data quality, freshness, and lineage, with monitoring that detects issues before customers do
Design and maintain data interfaces and APIs used by ABX systems at runtime
Build and evolve Azure-based data architecture, including Data Lake, Synapse/Databricks, Functions, and streaming
Develop and operate embedding pipelines and vector stores
Collaborate closely with Data Science on semantic search, classification, and AI-driven systems
What We’re Looking For Required
5+ years of experience in data engineering, working with production-scale systems
Strong Python and SQL skills
Experience with distributed data processing frameworks (e.g. Spark, Flink, Beam)
Hands‑on experience with cloud data platforms (Azure preferred)
Practical experience with embedding pipelines or vector databases
Strong ownership mindset with a focus on data quality and reliability
Preferred
Experience with B2B data products or market intelligence platforms
Familiarity with knowledge graphs or graph databases
Experience working alongside data scientists on ML or embedding systems in production
Interested? Apply with your profile, or reach out for a confidential first conversation — we’re happy to tell you more.
#J-18808-Ljbffr
This is a high-impact role at the core of the product. You will design and scale the systems that power real-time ABX (Account-Based Execution) workflows, ensuring data is accurate, fresh, and reliable at all times.
This is not just about building pipelines — it’s about owning data quality and turning it into a competitive advantage.
Why Join
Own a critical product layer — not just infrastructure support
Work with large-scale, global datasets in a fast-evolving environment
Operate at the intersection of data engineering and AI
High level of autonomy and technical ownership
Direct impact on systems used in real-time decision-making
What You’ll Do
Own the end-to-end data ingestion pipeline: crawling, parsing, classification, and entity resolution
Ensure data quality, freshness, and lineage, with monitoring that detects issues before customers do
Design and maintain data interfaces and APIs used by ABX systems at runtime
Build and evolve Azure-based data architecture, including Data Lake, Synapse/Databricks, Functions, and streaming
Develop and operate embedding pipelines and vector stores
Collaborate closely with Data Science on semantic search, classification, and AI-driven systems
What We’re Looking For Required
5+ years of experience in data engineering, working with production-scale systems
Strong Python and SQL skills
Experience with distributed data processing frameworks (e.g. Spark, Flink, Beam)
Hands‑on experience with cloud data platforms (Azure preferred)
Practical experience with embedding pipelines or vector databases
Strong ownership mindset with a focus on data quality and reliability
Preferred
Experience with B2B data products or market intelligence platforms
Familiarity with knowledge graphs or graph databases
Experience working alongside data scientists on ML or embedding systems in production
Interested? Apply with your profile, or reach out for a confidential first conversation — we’re happy to tell you more.
#J-18808-Ljbffr
Senior Data Engineer (a) Arbeitgeber: NWS Management AG
Die Gieni AG in Zürich ist ein hervorragender Arbeitgeber, der innovative Technologien in einem dynamischen Umfeld fördert. Mit einem kleinen, erfahrenen Engineering-Team bieten wir nicht nur die Möglichkeit, an bahnbrechenden Projekten zu arbeiten, sondern auch umfangreiche Wachstums- und Entwicklungsmöglichkeiten für unsere Mitarbeiter. Unsere offene und kollaborative Unternehmenskultur sorgt dafür, dass jeder Beitrag geschätzt wird und Raum für kreative Ideen besteht.
