Data Engineer
New Today
Overview
This fast-growing beauty brand is transforming how millennials and Gen Z engage with cosmetics and skincare through personalized online experiences, exclusive loyalty programs, and a rapidly expanding UK presence. In this role, your work will directly power smarter business decisions by making data accessible and actionable across the digital landscape. This is a 12 MONTHS FTC role with REMOTE OR HYBRID IN LONDON options.
Responsibilities
- Designing, building, and maintaining pipelines using Python, SQL, and Google BigQuery
- Working within Google Cloud Platform (GCP) to support a modernized data environment
- Enhancing the existing data warehouse and migrating away from legacy systems
- Collaborating closely with BI analysts to ensure accurate and timely data reporting
- Supporting the digital side of the business—focusing on online transactions and customer engagement
- Exposure to Power BI and Looker is a plus
Qualifications
- 3+ years of hands-on experience with Python and SQL
- Strong experience working within GCP, especially BigQuery
- Background in building and maintaining data pipelines and data warehouses
- Ability to clean, transform, and deliver data for reporting and analytics
- Excellent communication and collaboration skills
- Experience with tools like Power BI or Looker (desirable, not essential)
Benefits
- Salary between £60,000 - £65,000, depending on experience
- Fully remote working, with a £3,000 annual travel allowance if you prefer to work from the London office
- Opportunity to work in a growing, customer-centric digital team
- Collaborative, agile environment with a focus on innovation and inclusivity
Note: sponsorship is not available for this role.
How to apply
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Seniority level
- Mid-Senior level
Employment type
- Temporary
Job function
- Data Engineering
Industries
- Retail
- Location:
- London, England, United Kingdom
- Salary:
- £100,000 - £125,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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