Sonarsource2mo ago

Data Engineer

GenevaEmployee / Full-Timemid

Data EngineeringData EngineerDataData & AI

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Quick Summary

Overview

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Technical Tools

anthropicawsdbtpythonsqlterraformcode-reviewetl

Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:

SonarQube: The world’s leading AI code review and verification platform.
SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

Committed to our customers and community.
Obsessed with quality.
Deliberate in our decisions.
Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.

We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions.

To achieve this goal, we are looking for a talented Data Engineer - you! - to join the Data & Insights team.

Together, we will make SonarSource’s products the undisputed world-leading code remediation solution!

This means:

Contribute to the data platform and produce high-quality self-served components.
Get involved in the definition of new features and technologies that will impact all SonarSource teams and hundreds of thousands of developers worldwide.
Help improve the team's effectiveness by challenging and continuously improving existing processes, designs, and engineering practices.

Design and implement data retrieval, storage, transformation, and load capabilities following Data Mesh principles.

Continuously enhance the data platform. and propose, implement and manage data handling services according to stakeholders needs (Product Managers, Marketing, Sales, engineering teams, ...)

Establish top-class end-to-end pipelines including data cleaning and modelling.

Develop and deploy connectors to data sources of interest.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Maintain evergreen data flow documentation across systems.

Collaborate on Data Governance with other stakeholders/domains.

Implement appropriate entitlement controls around data access.

Work with the security function to ensure we adhere to expected security standards.

Collaborate with the incident manager to bring your expertise when asked and own implementation of recommendations from post-mortems.

Strong experience building end-to-end ETLT, ETL, or ELT pipelines with batch or streaming technologies in Python.

You have solid software engineering experience, focusing on developing analytics components in the cloud. You have been exposed to big data architecture essentials, streaming, data manipulation using SQL, ETL batches, data store administration, …

Strong experience with the AWS platform including, but not limited to, services such as: Glue, RedShift, DataBricks, CloudFormation, S3, CloudWatch, Lambdas, etc… or equivalents

Good knowledge of data engineering concepts (Data Lake, Data Warehouse, etc…)

Experience with Infrastructure as code tools (CDK, CloudFormation, Terraform)

You are fluent in English, both written and spoken.

Experience with SQL, dbt and visualization tools is a plus