Data & Analytics jobs in Geneva

Data Engineer Intern – Data Delivery Optimization

Salary: CHF 55'000 - 75'000 per year Requirements: Masters student in Data Engineering, Computer Science or Information SystemsInterest in data platforms and data governanceStrong analytical skillsGood communication abilitiesResidence in Switzerland or willingness to relocate Responsibilities: Analyse current data consumption patterns and propose improvements to increase efficiency, consistency and scalability across the bankMap existing data distribution channelsMeet business and technology stakeholdersAnalyse usage patterns and operational challengesIdentify optimization opportunitiesPrepare recommendations and implementation plansSupport selected improvement initiatives Technologies: SupportFabric More: We are Lombard Odier, a renowned global wealth and asset manager with a strong focus on sustainable investing. Our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across four continents. With a history spanning more than 230 years, we provide discretionary and advisory portfolio management, wealth services, custody, asset management and investment strategies, as well as advanced banking technology to other financial institutions. Our Rethink Everything philosophy guides our work. This internship focuses on understanding how data is consumed across the organization and helping define a future-state operating model for data distribution. You will gain exposure to enterprise data ecosystems, interact across business and IT teams, develop a strategic and operational perspective on data management, and have the opportunity to influence future data practices. Our values are Excellence, Innovation, Respect, Integrity and One Team. We promote a diverse and inclusive work environment, encourage internal mobility and provide individual upskilling programs. Applications are handled in the strictest confidence. last updated 44 week of 2026

Data Architect - Geneva

Salary: CHF 110'000 - 150'000 per year Requirements: Bachelor's or Master’s degree in computer science, Data Science, Information Systems or a related field.8+ years of experience in data architecture, data engineering or similar roles.Proven track record in delivering successful transformation and innovation projects in large scale organizations.Excellent command of Financial Services' specific regulatory challenges.Strong knowledge of data architecture principles and best practices, including data lakes, data warehouses, event-driven architecture, microservices, and data mesh.Proficiency in ETL / ELT processes and data lifecycle management.Strong understanding of data governance, compliance, and security.Awareness of market trends and established contacts with vendors offering various hosting strategies (on-premise, cloud, hybrid).Strong analytical skills.Ability to engage with C-level, IT, and Business stakeholders to influence decision-making. Responsibilities: Develop and maintain the enterprise data architecture framework to support business objectives and regulatory requirements.Define a scalable, efficient, and modern data architecture in collaboration with engineers and business teams.Establish data architecture policies, standards, and best practices in assigned data domains.Advise on data modeling, integration models, and data architecture best practices.Support data owners and data custodians throughout the data lifecycle, ensuring data traceability and compliance.Contribute to data architecture and governance bodies, supporting data architecture initiatives.Monitor industry trends, emerging technologies, and regulatory changes to provide recommendations. Technologies: CloudETLSupportSecuritymicroservicesArchitect More: A career at Lombard Odier means working for a renowned global wealth and asset manager with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services, and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions. “Rethink Everything” is our philosophy – it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients. As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates, encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes, and we actively embed Diversity, Equity, and Inclusion in our business strategy. It is an exciting time to join our Teams. All applications will be handled in the strictest confidence. last updated 44 week of 2026

Data Engineer Intern - Microsoft Fabric Adoption

Salary: CHF 55'000 - 75'000 per year Requirements: Masters student in Data Science, Data Engineering or Information SystemsStrong interest in modern data platformsAnalytical and communication skillsAbility to interact with diverse stakeholdersResidence in Switzerland or willingness to relocate Responsibilities: Support the design and implementation of an adoption strategy that maximizes the value delivered by Microsoft Fabric to business and technical usersAnalyze current usage patternsIdentify adoption barriers and opportunitiesEngage with users and data expertsExplore new platform capabilitiesDesign support and enablement initiativesFormulate recommendations for increased adoption Technologies: FabricSupportBusiness Intelligence More: At Lombard Odier, we are a renowned global wealth and asset manager with a strong focus on sustainable investing. We are an independently owned investment house and one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across four continents. With a history spanning more than 230 years, we provide discretionary and advisory portfolio management, wealth services, custody, asset management and investment strategies, as well as advanced banking technology to other financial institutions. Rethink Everything is our philosophy. In this internship, you will gain exposure to a strategic enterprise platform and work across technology, data and business challenges, with strong stakeholder interaction and valuable experience in change and adoption management. Our Maisons DNA is defined by Excellence, Innovation, Respect, Integrity and One Team. We promote a diverse and inclusive work environment, encourage internal mobility and individual upskilling, and embed Diversity, Equity and Inclusion in our business strategy. All applications are handled in the strictest confidence. last updated 44 week of 2026

Internship - Data Engineer - Microsoft Fabric

Salary: CHF 55'000 - 75'000 per year Requirements: Masters student in Data Science, Data Engineering or Information Systems.Strong interest in modern data platforms.Analytical and communication skills.Ability to interact with diverse stakeholders.Residence in Switzerland or willingness to relocate Responsibilities: Support the design and implementation of an adoption strategy that maximizes the value delivered by Microsoft Fabric to business and technical users.Analyze current usage patterns.Identify adoption barriers and opportunities.Engage with users and data experts.Explore new platform capabilities.Design support and enablement initiatives.Formulate recommendations for increased adoption. Technologies: FabricSupportBusiness Intelligence More: We are Lombard Odier, a renowned global wealth and asset manager with a strong focus on sustainable investing. We are an independently owned firm and one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. With a history spanning over 230 years, we provide discretionary and advisory portfolio management, wealth services and custody, as well as asset management services and investment strategies through Lombard Odier Investment Managers. We also provide advanced banking technology to other financial institutions. This internship is focused on data engineering and accelerating the adoption of Microsoft Fabric across our organization, offering exposure to a strategic enterprise platform, the combination of technology, data and business challenges, strong stakeholder interaction, and valuable experience in change and adoption management. We promote a diverse and inclusive work environment, encourage internal mobility and individual upskilling programs, and actively embed Diversity, Equity and Inclusion in our business strategy. last updated 44 week of 2026

Internship - Data Engineer - Data Delivery Optimization

Salary: CHF 55'000 - 75'000 per year Requirements: Masters student in Data Engineering, Computer Science or Information Systems.Interest in data platforms and data governance.Strong analytical skills.Good communication abilities.Residence in Switzerland or willingness to relocate. Responsibilities: Analyse current data consumption patterns and propose improvements that increase efficiency, consistency and scalability across the bank.Map existing data distribution channels.Meet business and technology stakeholders.Analyse usage patterns and operational challenges.Identify optimization opportunities.Prepare recommendations and implementation plans.Support selected improvement initiatives. Technologies: SupportFabric More: We are a renowned global wealth and asset manager with a strong focus on sustainable investing. We are an independently owned firm, one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. With a history spanning over 230 years, we provide discretionary and advisory portfolio management, wealth services and custody, as well as asset management services and investment strategies through Lombard Odier Investment Managers and advanced banking technology to other financial institutions. This internship is focused on the optimization of data delivery and offers exposure to enterprise data ecosystems, cross-functional interactions with business and IT teams, and a strategic and operational perspective on data management. We promote a diverse and inclusive work environment, support internal mobility and individual upskilling, and encourage our teams through our core values of Excellence, Innovation, Respect, Integrity and One Team. All applications will be handled in the strictest confidence. last updated 44 week of 2026

Data Architect - Genève

Salary: CHF 110'000 - 150'000 per year Requirements: Bachelor's or Master's degree in computer science, Data Science, Information Systems or a related field.8+ years of experience in data architecture, data engineering or similar roles.Experience delivering successful transformation and innovation projects in large scale organizations.Excellent command of Financial Services' specific regulatory challenges.Proficient in data architecture, data lakes, data warehouses principles and best practices (event-driven, microservices, data mesh).Strong understanding of ETL / ELT processes and data lifecycle management.Knowledge of data governance, compliance, and security.Awareness of market trends, with established contacts with vendors and third parties offering various hosting strategies (on-premise, cloud, hybrid).Strong analytical skills.Ability to engage with C-level, IT, and Business stakeholders and effectively convince decision makers. Responsibilities: Develop and maintain the enterprise data architecture framework to support business objectives and regulatory requirements.Define a scalable, efficient, and modern data architecture in collaboration with engineers and business teams.Establish data architecture policies, standards, and best practices in assigned data domains.Advise on data modeling, integration models, and data architecture best practices.Support data owners and data custodians throughout the data lifecycle, ensuring data traceability and compliance.Contribute to data architecture and governance bodies, supporting data architecture initiatives.Monitor industry trends, emerging technologies, and regulatory changes to provide recommendations. Technologies: CloudETLSupportSecuritymicroservicesArchitect More: A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services, and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions."Rethink Everything" is our philosophy – it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients.Our Maison's DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication.As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity, and Inclusion are woven into the fabric of our Maison's DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes, and to deliver on this, we actively embed Diversity, Equity, and Inclusion in our business strategy.It is an exciting time to join our Teams. All applications will be handled in the strictest confidence. last updated 44 week of 2026

Data Scientist, Product Analytics

Who is Sonar? Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.  Position description Operating within the Data & Insights team, your mission is to decode customer behaviors and transform product engagement into high-impact, actionable intelligence. By bridging the gap between product adoption and commercial data, you will construct a holistic view of user health and the tangible value we provide. You will take full ownership of the product-usage analytics lifecycle. This involves hands-on data exploration, hypothesis testing, and deep collaboration with Data and Analytics Engineers to architect the foundational models you require. Success is defined by analytical rigor and your ability to steer strategic product and Go-to-Market (GTM) decisions. Embedded in our central Data & Insights department, this role serves as a strategic partner to our Product organisation, driving cross-functional synergy with other departments, engineering, and data science teams to maximize overall success. Success depends on genuinely understanding the product you're analyzing, not just the data behind it. What you will do Understand product usage. Work closely with product managers (PMs), building a deep understanding of the product itself, to analyze how customers adopt and use it, and identify patterns in engagement, feature usage, and retention.to Analyze how customers adopt and use the product, and identify patterns in engagement, feature usage, and retention. Connect usage to outcomes. Link product usage data to customer and sales data to reveal how usage relates to expansion, churn risk, and account health. Define usage-based signals. Build the logic behind usage scoring, health indicators, and other metrics that translate behavior into insights that drive activation, retention, and expansion.  Be proactive. Explore product, sales, and customer data to surface findings nobody asked for. Anticipate the next question. Run experiments and validate. Test which usage signals actually predict outcomes, applying sound statistical methods and being honest about significance and causality. Partner on the data foundation. Work with Data and Analytics Engineers to get product and sales data into the warehouse and modeled well. Define requirements and contribute to data models that connect product usage with customer and sales data. Tell the story. Communicate insights clearly to stakeholders across the business, and document context, caveats, and decisions so the work survives handoffs. Experience and qualifications Deep product understanding and a track record of working effectively with PMs, translating product knowledge and usage data into decisions they act on.  Strong analytical track record: someone who has measurably influenced revenue, product, or GTM decisions through analysis, not just produced reports. Comfort with the latest AI tools, and a habit of using them to work faster and sharper: You stay current as the tooling evolves and bring new approaches to the team. Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats. Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you. Proficiency in Python for analysis, modeling, and automation. Experience with ML and statistical libraries (e.g. scikit-learn, statsmodels) for modeling, prediction, and inference. Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies. Working knowledge of how product usage connects to revenue: funnels, cohorts, retention, account health, and the realities of joining product usage data with CRM and sales data. Willingness to get hands-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables. Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options. Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.  Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.   We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com.  All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.  Applications that are submitted through agencies or third party recruiters will not be considered.

Staff Data Engineer

Who is Sonar? Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence. Position description:   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 & ML Platform team. Together, we will make Sonar’s products the undisputed world-leading code remediation solution!   What you will doYou will design and develop the data platform to support the functional domains in handling their data and help them in their journey to data ownership. This means: Design and implement data storage, transformation, and load capabilities of our pipelines. Continuously enhance the data platform. 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. Maintain evergreen data flow documentation across systems. Collaborate on Data Governance with other stakeholders/domains. 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. Experience and qualifications You have solid software engineering experience, focusing on developing data engineering pipelines and storage in the cloud. You have been exposed to big data architecture essentials, streaming, ETL batches, data store administration, … You see yourself as a developer working on data. You are motivated by both technical and functional aspects of services. You are a friendly, enthusiastic, and organized team player. You actively share your knowledge and give and receive feedback to improve the team and yourself. Strong experience building end-to-end ETLT, ETL, or ELT pipelines with batch or streaming technologies in Python. Experience working with Databricks as a Platform or building data pipelines with PySpark is a plus. Strong experience with the AWS platform including, but not limited to, services such as: Glue, RedShift, 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 Why you will love it here: • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice. • We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate! • We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday). • We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them. We prioritize Diversity, Equity, and Inclusion: At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date. Please note that applications submitted through agencies or third-party recruiters will not be considered.   Why you will love it here:   • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice. • We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate! • We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday). • We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.     We prioritize Diversity, Equity, and Inclusion:   At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.   We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.   All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.   Please note that applications submitted through agencies or third-party recruiters will not be considered. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.  Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.   We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com.  All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.  Applications that are submitted through agencies or third party recruiters will not be considered.