
Siflet is a Full Data Stack Observability platform delivering actionable insights and helping organisations manage data quality monitoring at scale.

Siflet is a Full Data Stack Observability platform delivering actionable insights and helping organisations manage data quality monitoring at scale.
Founded: June 2021
Headquarters: Paris, Île-de-France, France
Product: AI-augmented data observability platform (data quality, lineage, pipeline monitoring)
Recent funding: $18M announced June 19, 2025
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Data observability and data quality for analytics and data engineering workflows.
2021
Software Development
€12M (reported as €12.8M / ~$12.7M in some sources)
Reported Series A financing; company blog references €12.8M.
$18M
Company announced $18M round with participation from EQT Ventures, Mangrove Capital Partners and Capmont Technology.
“EQT Ventures, Mangrove Capital Partners and Capmont Technology are named investors; prior participation from Bessemer Venture Partners and others is recorded in databases.”
We are building the world’s best data observability platform to help companies excel at data-driven decision making.
Today, half of a data team’s time is spent troubleshooting data quality issues. Sifflet is putting an end to that. Our solution allows data engineers and data consumers to visualize how data flows between their services, define data quality checks, and quickly find the root cause of any data anomaly.
Sifflet connects to many different data sources: data warehouses (Google BigQuery, Snowflake, AWS Redshift…), business intelligence visualisation solutions (Looker, PowerBI, AWS QuickSight…), transformation/ETL tools (dbt, Fivetran, Airflow…)… For each of these data sources, we need to support all Sifflet features (catalog, lineage, monitoring…).
As each integration requires deep knowledge about the API, data model, and behaviour of each data source, Sifflet has a team dedicated to building these integrations. As a member of this team, you will:
While not directly part of our stack, expect to gain a lot of knowledge on many products in the modern data ecosystem. The subtleties of BigQuery or Snowflake will soon be very familiar to you.- More than six years of experience in a backend engineer role or equivalent. Data engineers with software development experience who want to move to a backend engineering position are also welcome.
All written communication at Sifflet is in English, but the engineering team routinely uses French, so some fluency in French is required.
None of the people who joined Sifflet perfectly matched the described requirements for the role. If you’re interested in this position but don’t tick all the boxes above, feel free to apply anyway!- A first call with either Benoît (Head of Engineering) or Nicolas (Integration Team Lead) to discuss the role and your ambitions (30 minutes)
At this point, we generally know if we want to extend an offer, but we’re happy to organize more sessions so you can meet the team.
The whole process can be conducted remotely.