Vestiaire Collective - Senior Analytics Engineer
Requirements
• 3-5 years of relevant experience in Analytics Engineering, Data Engineering, BI Engineering, or a similar role, with hands-on experience designing, deploying, and maintaining large-scale, efficient ETL, ELT, or reverse ETL pipelines. • Strong SQL and data transformation skills(DBT), including complex transformations and modular, reusable data models. • Experience with Snowflake, BigQuery, PostgreSQL, or another modern data warehouse, with awareness of performance and cost considerations. • Experience with Airflow or a comparable tool for job orchestration, scheduling, and dependency management. • Experience using Python for data processing, workflow automation, or developing data tooling. • Experience with version controlling (GitHub), CI/CD, automated testing, monitoring, and observability. • Ability to work autonomously, manage dependencies, and take accountability for data products and technical initiatives beyond their initial delivery. • Ability to make and clearly communicate technical decisions and trade-offs. • Strong communication skills and the ability to work effectively with technical and non-technical stakeholders. • Practical experience or strong interest in applying AI-assisted engineering tools to data development. • Strong problem-solving mindset and commitment to engineering quality. • Prior exposure to e-commerce platforms, two-sided marketplaces, or high-volume AdTech ecosystems is a plus.
Responsibilities
• Design, build, and maintain scalable, high-performance data pipelines and reusable analytical data products using dbt, Snowflake, and Airflow. • Transform complex raw data into structured, reliable, and accessible data models, supported by appropriate testing and documentation, that enable decision-making across the organisation. • Own analytical data products throughout their lifecycle, from initial design and delivery through continuous improvement, evolution, and retirement, while considering performance, maintainability, and cost. • Contribute to the evolution of the engineering foundations supporting Analytics Engineering, including CI/CD, orchestration, monitoring, deployment, and tooling version upgrades, in collaboration with Data Platform Engineering. • Partner with Finance, Operations, Commercial, Marketing, CRM, Product, and other teams to translate business needs into clear, reliable, and scalable data solutions, applying technical judgement to clarify requirements and recommend effective approaches. • Take ownership of projects from design through delivery and communicate technical decisions and trade-offs clearly. • Explore and apply AI-assisted engineering tools across the data development lifecycle, including ingestion, transformation, testing, documentation, and deployment. • Help define and embed Analytics Engineering best practices, fostering a culture of quality, ownership, documentation, testing, and continuous improvement across the team.
Benefits
• Purpose-driven work at scale • High-impact scope & ownership • Work on products used globally, where your decisions have immediate, measurable impact on millions of users across 70+ countries. • A truly international environment • Collaborate with a diverse team of 50+ nationalities across Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City. • Career acceleration in a fast-moving scale-up • Take ownership early, grow fast, and shape your path, as an expert or a future leader. • Learning & growth as a priority • Dedicated budget, continuous feedback culture, and opportunities to work on cutting-edge topics (AI, marketplace dynamics, scalability, etc.). • Flexible ways of working • Hybrid model (typically 2 days remote per week), with trust and autonomy at the core of how we operate. • Give back through action • Including bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal perks depending on your location. • Research shows that candidates from underrepresented backgrounds including women, people with disabilities, and other marginalized communities, are less likely to apply unless they meet 100% of the criteria. • At Vestiaire Collective, we believe diversity drives better decisions, stronger products, and more meaningful impact.
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