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Senior Analytics Engineer

Vestiaire Collective· Tech – Engineering
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Permanent contractPosted 3d ago

About the role

Senior Analytics Engineer responsible for modelling raw data into scalable data products and owning data pipelines to support decision-making across functions, with emphasis on reliability, standards, and AI-assisted tooling.

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 testing and documentation.
  • Own analytical data products throughout their lifecycle, from design to retirement, focusing on performance, maintainability, and cost.
  • Contribute to engineering foundations supporting Analytics Engineering (CI/CD, orchestration, monitoring, deployment, tooling upgrades) in collaboration with Data Platform Engineering.
  • Partner with Finance, Operations, Commercial, Marketing, CRM, Product, and other teams to translate business needs into data solutions.
  • 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 (ingestion, transformation, testing, documentation, deployment).
  • Help define and embed Analytics Engineering best practices to foster quality, ownership, documentation, testing, and continuous improvement.

Qualifications

  • 3-5 years of relevant experience in Analytics Engineering, Data Engineering, BI Engineering, or similar role with hands-on experience designing, deploying, and maintaining large-scale ETL/ELT pipelines.
  • Strong SQL and data transformation skills (DBT), including complex transformations and modular data models.
  • Experience with Snowflake, BigQuery, PostgreSQL, or other modern data warehouses with awareness of performance and cost.
  • Experience with Airflow or comparable orchestration tool.
  • Experience using Python for data processing, workflow automation, or data tooling.
  • Experience with version control (GitHub), CI/CD, automated testing, monitoring, and observability.
  • Ability to work autonomously, manage dependencies, and take accountability for data products and technical initiatives beyond initial delivery.
  • Ability to communicate technical decisions and trade-offs clearly.
  • Strong communication skills to work 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.

Benefits

  • Purpose-driven work at scale
  • High-impact scope & ownership
  • A truly international environment
  • Career acceleration in a fast-moving scale-up
  • Learning & growth as a priority
  • Flexible ways of working (Hybrid model typically 2 days remote per week)
  • Give back through action (2 paid days per year to support a cause)
  • Competitive compensation & benefits including bonus, health coverage, lunch vouchers, Gym-Pass, and location-based perks
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Vestiaire Collective

Buy & sell designer second-hand fashion.

3 million items, 12,000+ brands. Luxury pre-loved fashion, up to 70% off. Expert authentication, trusted by millions.

luxury brandssecond hand designer clothesfashionluxury watcheshandbagsshoes onlinejewelryvintage
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