Our client, Gieni AG is a fast-growing B2B AI software company based in Zurich and closely connected to the Microsoft ecosystem. Its platform uses AI agents to automate complex business processes end-to-end. By combining advanced data engineering, AI-driven classification, and semantic search, Gieni helps organizations identify opportunities faster, improve targeting, and make smarter commercial decisions.
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.
Job Type: 80-100%
Pay: CHF125’000.00 - CHF150’000.00 per year
Benefits:
- Company events
- Company pension
- Free drinks
- Free or subsidised travel
- Free parking
- Subsidized health insurance premiums
Work Location: In person
