Data Engineer Luxurynsight

Join Luxurynsight, a leading company in the fashion industry. As a Data Engineer, you will be responsible for building, maintaining, and scaling the systems that turn raw crawled data into trustworthy, usable data for the entire company. You will work with a modern tech stack, including Snowflake, dbt, Airflow, Celery, K8s, AWS, and Datadog. This role offers real ownership over projects and the autonomy to shape the approach and drive improvements.

Responsibilities

• Conception, maintenance, and scaling of systems that transform raw crawled data into usable data.
• Designing and maintaining Airflow DAGs and orchestration logic, building and evolving dbt models.
• Improving the reliability, monitoring, and data quality of data pipelines, and working on the crawling stack.

Requirements

• You have several years of experience in Data Engineering or Software Engineering with a strong data focus (ideally 3-5+ years). You're comfortable owning the full lifecycle of a data pipeline from ingestion to orchestration to modeling and you have a good instinct for making data systems robust, observable, and easy to maintain.
• You've worked with large volumes of data and know how to think about scalability, both on the software and infrastructure side. You're able to move from prototype to industrialized, production-grade solutions, and you know how to structure, test, and document your code so others can build on it.
• Strong proficiency in Python, environments and dependencies tooling such as uv
• Solid SQL skills, data modeling knowledge, and experience with dbt or similar transformation frameworks
• Hands-on experience with workflow orchestration (Airflow or equivalent)
• Experience with a modern cloud data warehouse (Snowflake or equivalent)
• Familiarity with CI/CD practices

Knowledge of version control with Git

• Comfortable in Linux and/or macOS environments, writing and executing bash scripts
• You take ownership and work autonomously, given a project, you know how to engage with stakeholders, gather the requirements you need, and lead it end-to-end from initial scoping to implementation and communication of the results. We place a lot of value on initiative, we're looking for someone who naturally spots problems and proposes solutions on their own.
• As we're an international company, you're comfortable communicating in English, both written and spoken.

Preferred

• Experience with Celery or other task queue systems
• Experience with web crawling / scraping pipelines
• Experience with Kubernetes and containerization (Docker)
• Experience with cloud platform (AWS or equivalent)
• Understanding of agile project management methodologies

Experience with observability/monitoring tools such as Datadog

• Familiarity with OpenTelemetry or equivalent for observability (traces, metrics, etc.)
• Comfortable leveraging AI tools in your workflow (e.g. Claude), including building custom skills or integrating MCP servers

Pay

EUR 55,000 - 60,000