Senior Data Engineer

Senior Data EngineerLocation: Paris – Hybrid - up to 50% remoteSalary: depending on experience - 55-65K€Tech stack: SQL, dbt, Python, Snowflake, Airflow, Airbyte, AWS, Git, ArgoCDTHE COMPANYWe’re supporting a rapidly growing global consumer goods platform that partners with some of the most exciting health, wellness, and lifestyle brands worldwide. Their model blends deep operational expertise, data-driven execution, and proprietary technology to scale challenger brands into household names.Technology and data are central to the company’s growth strategy. The Data team is developing an intelligent, data-driven platform designed to help optimise and grow e-commerce businesses. It builds advanced automation, decision-support tools and machine learning solutions that generate measurable value across the organisation.THE ROLEThe company is looking for a Senior Data Engineer to help modernise its data infrastructure, with a particular focus on migrating legacy pipelines into robust, scalable and modular dbt workflows. You will take ownership of the complete lifecycle of data products, from gathering requirements and designing data flows through to development, testing and production deployment.Within a Data & Tech team of around 10 people, this is a highly autonomous role requiring strong technical judgement. You will be expected to make decisions around architecture, data modelling, maintainability and performance while ensuring the long-term stability of the company’s data pipelines.Your responsibilities will include:Designing, building and maintaining scalable data pipelines and data modelsTransforming raw data into refined models used by BI and business teamsMigrating legacy pipelines into modern and maintainable dbt workflowsDesigning data flows across sales, advertising, supply chain, finance and customer data domainsTaking ownership of data products from requirements gathering through to productionWorking closely with business stakeholders and product teams to define technical solutionsReviewing code and supporting other engineers during developmentUsing AI and modern development tools to improve productivity while retaining full ownership of the code deliveredYOUR PROFILEYou are an experienced Data Engineer with strong expertise in data modelling, SQL, Airflow anddbt. You have a clear understanding of what makes data code maintainable, scalable and reliable, and you prioritise long-term quality over short-term fixes.You should have :at least a first significative professional Data Engineering experience (not academic)Advanced SQL skillsStrong practical experience with dbt and AirflowExperience designing and maintaining production data modelsStrong proficiency in Python (Pandas and NumPy)Experience building or modernising cloud-based data pipelinesA strong understanding of testing, data quality and software engineering best practicesExperience migrating or refactoring legacy data pipelinesFluent written and spoken EnglishWHY JOIN?Join a successful and rapidly scaling international companyBecome an early and influential member of a growing Data teamTake ownership of high-impact data products and infrastructure projectsLead the modernisation of an established data platformWork on data covering multiple brands, markets and business domainsBenefit from a flexible hybrid model with three days of remote working per weekGain significant autonomy over architecture, technical decisions and project delivery