Data Team Lead

This lead role is responsible for designing and building data pipelines and infrastructure, leading a team to ensure data quality, availability, and scalability for analytics and machine learning. The engineer will architect robust data solutions to support Amadeus's data-driven initiatives.

Leads a team of data scientists, setting technical direction and mentoring team members. Drives the development and deployment of advanced analytics and machine learning models, collaborating with stakeholders to deliver data-driven solutions. Requires strong leadership and deep technical expertise in ML and analytics.

Leads data engineering initiatives, designing and building scalable data pipelines and infrastructure. Mentors engineers and ensures data quality, reliability, and performance.

This hands-on developer-architect role owns the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures. The lead architect proves designs in code using Terraform, Azure Databricks, and Synapse, and prototypes AI solutions like RAG and agentic workflows, while mentoring teams and reviewing code/IaC.

This role owns the administration and optimization of the Atlassian ecosystem (Jira, JPD, Confluence) at Similarweb, turning engineering data into actionable insights through dashboards and KPIs. The Program Manager will lead cross-functional projects to improve engineering efficiency, drive operational excellence, and build AI-powered automations to scale operations. Requires 3+ years of experience, a Bachelor's in Industrial Engineering or equivalent, and hands-on Atlassian administration expertise.

This Customer Success Manager for SMB clients serves as the primary point of contact, managing onboarding, training, and engagement to drive adoption and retention. The role involves identifying churn risks, uncovering upsell opportunities, and acting as a trusted advisor using data-driven insights. Requires 2-3 years of experience in customer success, account management, or digital marketing, with strong analytical and presentation skills.

This Senior Product Data Scientist owns the investors vertical, working directly with hedge funds, private equity, and venture capital firms to build datasets and data feeds for investment decisions. The role involves handling complex custom requests, building custom reports end-to-end, and partnering with engineering to scale solutions. Requires 3+ years of Python/SQL/pySpark experience, background in investment industry or data provider, and strong client-facing skills.