Analytics Engineer – Fully Remote

Tiime

. Build, strengthen, and evolve the data platform supporting the group’s brands .

Posted 10/23/2026full-timeRemote • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Transformation and Modeling using SQL and dbt, with a strong focus on Data Governance and Quality. Proficient in leveraging Data Lakes on Databricks and creating performance indicators through Tableau.

Highest-signal resume keywords

SQL ExpertiseData TransformationData ModelingDatabricks KnowledgeAnalytics Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData TransformationData ModelingDbtDatabricksKPI DevelopmentData GovernanceData QualityPerformance OptimizationData Documentation

Soft Skills

CommunicationAutonomyOrganizationCuriosityAdaptability

Tools & Technologies

TableauDatabricksSQL-based ToolsData Lakes

Industry Keywords

Analytics EngineeringData EngineeringCross-functional ProjectsBusiness StakeholdersOperational Challenges

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Build, strengthen, and evolve the data platform supporting the group’s brands
Understand and assess business teams’ needs to provide reliable data tailored to operational and decision-making requirements
Design, model, and transform data using SQL and dbt
Incorporate the business challenges specific to the group’s various activities
Contribute to the development and optimization of the Data Lake on Databricks
Create and structure tables, improve performance, and maintain data models
Contribute to data governance and quality
Implement tests, document tables, manage access permissions, and ensure data reliability
Support teams in using and leveraging data
Make performance indicators (KPIs) available, particularly through Tableau and Databricks
Collaborate with technical, business, and finance teams
Work on a variety of cross-functional projects that impact how data is used across the group

Requirements

What you’ll need

At least 3 years of experience in Analytics Engineering or Data Engineering
Strong experience in data transformation and modeling
Excellent command of SQL
Ideally, experience with dbt, or solid experience in SQL-based transformation enabling you to quickly become proficient with the tool
Knowledge of Databricks and/or Python is a strong plus
Ability to communicate with business stakeholders, understand their challenges, and translate them into technical solutions
Autonomous, rigorous, and well-organized
Ability to manage multiple projects and adapt to changing priorities
Curious, with a strong interest in understanding how different business functions operate and discovering new environments
Ability to suggest improvements and respond quickly to operational challenges

Benefits

Comp & perks

€10 meal voucher on a Swile card, with 50% covered by the company
Profit-sharing bonus
50% reimbursement of public transport passes for commuting to the office
Sustainable mobility allowance for commuting to the office by bicycle or scooter
Access to a benefits platform offering exclusive discounts
Additional paid leave
Several remote-working days
Flexible working hours
Company culture focused on employee well-being
Supportive and innovative work environment