Data Engineer

Lombard Odier Investment Managers; Genf; On-site; CHF 95,000 - 130,000; Full time

Job summary

Lombard Odier Investment Managers is seeking a Data Engineer to join our AI Transformation programme. You will build scalable data pipelines, enabling high-quality data for analytics, AI solutions, and investment processes within a regulated asset management environment.

In collaboration with AI Engineers and business stakeholders, you will design modern data architectures, implement governance and quality controls, and deliver reusable data products across the organization.

Qualifications

• Master's degree in CS, data engineering or related field.
• 3-5 years of experience in data engineering or similar role.
• Very strong Python and SQL skills.
• Hands-on experience with Snowflake or MS Fabric.
• Experience building and maintaining production-grade data pipelines.
• Strong data modelling, ETL/ELT and data integration patterns.
• Experience working with structured and unstructured data.
• Interest in modern AI technologies and data architectures.
• Exposure to financial services is a plus.
• Team player with strong communication skills.
• Autonomous, pragmatic and delivery-oriented mindset.

Responsibilities

• Build and maintain data pipelines from internal systems and vendors into trusted datasets.
• Support ingestion and processing of structured and unstructured data sources.
• Ensure data freshness, consistency, reliability and accessibility.
• Contribute to modern data architectures supporting analytics and AI initiatives.
• Build reusable data products and datasets for organization-wide use.
• Implement data quality controls and observability across pipelines.
• Support data governance, metadata management, lineage and documentation.
• Maintain documentation of data flows, transformations and dependencies.
• Collaborate with AI engineers, data platform teams and stakeholders.

Skills

Python

SQL

Data pipelines

ETL/ELT

Data modelling

AI technologies

Communication

Education

Master's degree in Computer Science, Data Engineering or related field

Tools

Snowflake

Microsoft Fabric

Job description

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.

Lombard Odier Investment Managers (“LOIM”) is the asset management business of the Lombard Odier Group. To further strengthen our Data Management Team, we are looking for a:

Data Engineer

As a Data Engineer at Lombard Odier Investment Managers, you will play a key role in one of the firm's most strategic transformation initiatives: the development of data foundations that will enable the next generation of data, analytics and AI-driven capabilities across the organization.

Working within our AI Transformation programme, you will sit at the intersection of business, technology and data. Your primary focus will be to build and maintain robust, scalable and trusted data pipelines that enable high-quality data consumption across a broad range of use cases, including investment processes, business development, operations and AI solutions.

You will work in cross-functional squads alongside AI Engineers, AI Transformation Managers and business stakeholders to deliver innovative solutions in a regulated investment management environment. While prior AI expertise is not strictly required, you will have the opportunity to contribute to projects that leverage modern AI technologies and help shape the future data landscape of the organization.

A rare opportunity to contribute to a large-scale data and AI transformation programme within a leading asset manager, delivering tangible impact on how investment and business decisions are made.

YOUR ROLE

Data Engineering

• Build and maintain data pipelines that transform raw data from internal systems and vendors into trusted, consumable datasets for business, analytics and AI use cases.
• Support the ingestion and processing of both structured and unstructured data sources, including investment data, research content, client communications, regulatory documentation and operational datasets.
• Ensure data freshness, consistency, reliability and accessibility across critical data pipelines.
• Contribute to the design and evolution of modern data architectures supporting analytics and AI initiatives.
• Build reusable data products and datasets that enable efficient consumption across the organization.

Data Platform & Governance

• Implement data quality controls, monitoring and observability frameworks across production pipelines.
• Support data governance initiatives, including metadata management, data cataloguing, lineage, traceability and documentation.
• Help establish data standards and best practices to ensure scalability, consistency and regulatory compliance.
• Maintain clear documentation of data flows, transformations and dependencies.
• Contribute to continuous improvements of the firm's data platform capabilities.

Collaboration & Delivery

• Work closely with AI Engineers, data platform teams and business stakeholders to understand data requirements and translate them into scalable solutions.
• Partner with data owners and domain experts to ensure that business knowledge is accurately reflected within data models and datasets.
• Support strategic transformation initiatives focused on improving data accessibility, operational efficiency and AI adoption across the organization.
• Contribute to the delivery of innovative use cases across Investment, Business Development and Operations.
• Actively participate in shaping the future data ecosystem of the firm.

YOUR PROFILE

• Master's degree in Computer Science, Data Engineering or a related field.
• 3-5 years of experience in Data Engineering or a similar role.
• Very strong Python and SQL skills.
• Hands-on experience with modern data platforms such as Snowflake, Microsoft Fabric or equivalent.
• Experience building and maintaining production-grade data pipelines.
• Strong understanding of data modelling, ETL/ELT processes and data integration patterns.
• Experience working with both structured and unstructured data.
• Strong understanding of data quality principles and monitoring in production environments.
• Interest in modern AI technologies and data architectures
• Exposure to financial services is a plus.
• Team player with strong communication skills.
• Autonomous, pragmatic and delivery-oriented mindset.

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.