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Data engineer

Manchester
Club L London
Data engineer
Posted: 13 October
Offer description

Founded in 2007 Club L was created with the vision of offering long-lasting luxury styles, trend-oriented collections with a twist and unique, statement designs that offer both exceptional quality and fit in an otherwise saturated market of fast-fashion and throw away goods.

Accessible luxury through considered purchasing, limited edition collections that leave no wastage and responsible and ethical manufacturing are at the heart of the brand, world-renowned for its premium fabrications, inclusive sizing and affordable price points.

About us

Club L London is the next-generation online fashion retailer for the forward-thinking woman. Conceptualised and crafted in-house and abroad, we specialise in accessible luxury and unique designs of unrivalled quality to flatter all figures. From prom to occasion, am to pm, maternity, bridal and more, we deliver an engaging customer experience that connects our global community of diverse consumers, international fashion influencers and content creators with new and exciting collections dropping each week.

Responsibilities

* Design, build, and maintain data pipelines from operational systems into BigQuery
* Implement and manage ELT workflows using tools such as or custom Python, dbt, and Airflow/Prefect
* Develop data models and transformation layers in dbt, including staging, intermediate, and mart layers
* Ensure data quality, reliability, and observability with testing, monitoring, and alerting
* Collaborate with data analysts to deliver clean, documented datasets for Power BI dashboards
* Manage data infrastructure as code, including Git-based version control, CI/CD for dbt, and environment management
* Handle schema evolution, incremental data loading, and performance optimization in BigQuery
* Advise on data architecture and best practices as the company scales its analytics footprint

Requirements

* Strong SQL and Python skills
* Experience building pipelines with BigQuery or other cloud warehouses
* Familiarity with MongoDB or other NoSQL data sources
* Experience using dbt for transformations (incremental models, tests, documentation)
* Experience with orchestration tools (Airflow, Prefect, or Dagster)
* Familiarity with ELT best practices and data modeling techniques
* Strong understanding of Git-based workflows and CI/CD
* Comfortable working cross-functionally with analysts and developers

What's on offer?

* Bi-annual bonus scheme
* 25 days of annual leave (plus bank holidays)
* 1 day a week WFH
* Extra day off for your birthday
* Flexible working hours around core hours of 10-4
* 40% staff discount across Club L and Lavish Alice products
* A collaborative and mission-driven team culture
* Cycle to work scheme
* Healthcare Cashplan
* Free onsite gym
* Enhanced pension contribution
* Enhanced maternity and sick pay
* Free snacks, drinks & treats
* Social events

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