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2 data engineering jobs found in Lausanne

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Full time  (2)
SonarSource
02/04/2026
Full time
Software Engineer (Java) - Integrations & Agentic Workflows
SonarSource Lausanne, VD, Switzerland
Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly   committed   to and   obsessed   with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with...
Kainjoo SA
03/04/2026
Full time
Data Analyst / Data Engineer
Kainjoo SA Morges, VD, Switzerland
Data is at the core of what we deliver for a growing number of our clients — and we need someone who can turn raw, messy data into clear, reliable insights. You’ll work across dashboards, pipelines, and reporting setups, and you’ll be the person clients trust to make sense of their numbers. What you’ll be doing You’ll define KPIs, build dashboards, write queries, and set up pipelines that keep data flowing cleanly. You’ll work directly with clients to understand what they need, and with our tech team to make it happen. Define data dictionaries, KPIs, and metric hierarchies with clients and stakeholders Write and optimise SQL queries across relational and cloud data warehouses Build data transformation pipelines and automation flows Design and build interactive dashboards with drill-downs, filters, and cross-source blending Integrate data from REST APIs and third-party platforms Normalise and clean raw data — handle deviations, nulls, and schema inconsistencies...

 

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