Data Solutions & AI expert (m/f)

Luxembourg | June 15, 2026

Report as Closed

Company: QUINTET PRIVATE BANK (EUROPE) S.A

Country: Luxembourg

Type: Onsite

Employment: Full-time

Description: Data Solutions & AI expert

Purpose of the Job

Quintet Private Bank is a leading private bank in the wealth management sector; we are committed to our clients and their families, and pride ourselves on our personalised service based on a deep understanding of what clients want to achieve. We are a bank headquartered in Luxembourg with an ambition to stay true to our purpose to be the most trusted fiduciary of family wealth.

When you join Quintet you are joining a company that values diversity of background, equal access to opportunities, career development, collaboration and inclusiveness. We want our employees to feel proud of being part of a company that is committed to do the right thing. You will have the opportunity to grow your career while developing personally and professionally through various resources and programmes.

As a Data Solutions & AI Expert, you will play a strategic and hands-on role in designing, developing, and delivering robust data solutions across the organization. You will be responsible for translating business requirements into scalable dataflows, ensuring operational excellence, and driving innovation through advanced analytics and AI capabilities.
Key Accountabilities

Data Solution Design & Development

• Design end-to-end data solutions aligned with business needs and technical standards.
• Develop and maintain data pipelines using Azure Microsoft Data Platform (Azure Synapse Analytics, Fabric, Spark, pipeline, Python, Power BI, …)
• Ensure integration with reporting tools such as Power BI
• And development of Cognos reports and extractions

Innovation & AI Development

• Propose and develop innovative data and AI solutions to enhance business value
• Stay up to date with emerging technologies and trends in data engineering and analytics

Business Engagement & Requirement Gathering

• Collaborate with business stakeholders to collect and analyse data requirements
• Translate functional needs into technical specifications and actionable data products

Project Delivery & Execution

• Lead and contribute to data-related projects from conception to deployment
• Ensure timely delivery, quality control, and alignment with group-level standards

Operational Monitoring & Issue Resolution

• Monitor day-to-day data operations and proactively resolve data issues
• Implement controls for data quality, lineage, and metadata management using Collibra

Governance & Compliance

• Ensure all solutions comply with security, privacy, and development standards
• Maintain documentation and traceability of dataflows and transformations

Collaboration & Communication

• Work closely with cross-functional teams including IT, data governance, and business units
• Foster a culture of collaboration, transparency, and continuous improvement

Knowledge and Experience

• Experience required : more than 3 years in a similar role
• Education level : Master in Data analytics & Management , Master in Data Science
• Proven experience in data engineering, analytics, or data product development
• Familiarity with Collibra for metadata, lineage, and data governance
• Solid understanding of data architecture, security standards, and development best practices
• Experience in AI/ML solution development is a strong plus

Attributes and Qualities

• Sense of innovation
• Collaborative Teamwork
• Adaptability & Learning Agility
• Critical Thinking & Problem Solving
• Communication and stakeholder management skills
Technical Skills

• Strong expertise in Azure Microsoft Data Platform (Azure Synapse Analytics, Fabric, Spark, pipeline, Python, Power BI, …)
• Expertise in Cognos IBM solution
• Expertise in and AI/ML solutions and algorithms
• Expertise in Collibra data governance platform

Languages Skills

• Fluent in English; other languages are a plus

Applications only via website: https://www.quintet.com/en-gb/vacancies

Apply here:

Web: Apply here

Emails:



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