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Accor

Global hotel management, franchising, loyalty programs

Data Technical Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeIssy-les-Moulineaux, FranceNo salary listed

About the Job

Requirements

  • At least 6–8 years of experience as a Data Tech Lead, with strong technical credibility and initial technical coordination and management experience.
  • At least one prior management experience and a demonstrated sense of leadership.
  • Excellent proficiency in Snowflake, dbt, and Airflow; experience with Astronomer is preferred.
  • Strong experience with real-time architectures, including securing data flows and tokenization protocols.
  • Proficiency in Python, SQL, Terraform, and CI/CD pipelines.
  • Familiarity with or experience integrating machine-learning models into data pipelines, ideally with real-time interfaces.
  • Interest in contributing to discussions about the lifecycle of AI products.
  • Analytical thinking and technical curiosity.
  • Ability to estimate, plan, and track activities across several concurrent projects.
  • Ability to assess complex situations to anticipate and control risks.
  • Fluent French and English for regular international exchanges.

Responsibilities

  • Define and co-create modern architecture patterns at the intersection of functional needs and the Data Platform.
  • Ensure robust and secure technical choices, particularly for real-time flows, tokenization protocols, and data security.
  • Design and optimize robust business data models for marketing and personalization.
  • Ensure the implementation of performant data APIs and exposure pipelines for real-time marketing activation.
  • Guide and support a team of senior professionals, using technical credibility to foster effective collaboration.
  • Work closely with the Product Owner to frame and prioritize technical workstreams.
  • Promote Data Ops best practices, including unit testing, CI/CD, code quality, and observability.
  • Lead data ingestion, transformation, and exposure through the backend/Hub approach.
  • Ensure the quality, integrity, and reconciliation of customer data throughout the lifecycle of data flows.
  • Participate in strategic AI initiatives to accelerate delivery and integrate AI into product and technology practices.
  • Collaborate closely with business and CRM teams and the MoEngage partner.
  • Move data-pipeline execution to an event-based approach to support responsive, real-time customer hyper-personalization.
  • Enable new ways to expose customer data in Snowflake, including through APIs and MCP.
  • Audit data products, document the current technical estate, and propose a plan to reduce technical debt, improve efficiency, optimize costs through FinOps, and explore new developments.
  • Foster team collaboration, motivation, and participation.
  • Contribute to improving processes for deploying data-science models and establishing real-time inference capabilities as a longer-term MLOps initiative.

Desired Qualifications

  • Experience with Airflow via Astronomer.
  • Experience integrating machine-learning models into data pipelines, ideally with real-time interfaces.

About the Company

Accor

Global hotel management, franchising, loyalty programs

Accor operates a global portfolio of hotel brands spanning economy to luxury, providing hotel management and franchising services in the travel and tourism sector. Its revenue comes from room bookings, food and beverage services, and management fees earned from franchised properties. The company runs a loyalty program called A Club to boost guest retention and engagement. Growth is aided by strategic acquisitions, such as Adoria for corporate catering solutions and a stake in Squarebreak for upscale villa rentals. Accor pairs global expertise with local knowledge to deliver consistent hospitality experiences at scale, while pursuing sustainability and positive impact on guests, communities, and the environment. The overall goal is to offer reliable, high-quality experiences across markets and to grow responsibly through responsible expansion and sustainable practices.

Company size
10,001+
Company stage
IPO
Headquarters
Issy-les-Moulineaux, France
Founded
1967

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