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Data Engineer (Digital Analytics)

3Search

Greater London

Hybrid

GBP 70,000 - 81,000

Full time

5 days ago
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Job summary

A leading company in luxury fashion is searching for a Data Engineer to enhance their digital data and AI strategies. This role blends technical data engineering with strategic business impact, offering the chance to work on pivotal projects that shape the consumer experience. If you're passionate about e-commerce analytics and AI, this is the opportunity for you.

Qualifications

  • Knowledge in e-commerce analytics and experience with analytics platforms.
  • Proficiency in data modeling, warehousing, and advanced SQL.
  • Skilled in ETL processes with tools like dbt.

Responsibilities

  • Extract and integrate data from diverse sources to align with stakeholder needs.
  • Manage the ETL cycle within the company tech stack.
  • Collaborate with Analytics Team to enhance digital store sales.

Skills

e-commerce analytics
data modeling
SQL
ETL processes
Python
AI

Tools

Google Analytics
Adobe Analytics
dbt
BigQuery
Amplitude

Job description

3Search Greater London, England, United Kingdom

This range is provided by 3Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from 3Search

Tommaso Lucentini Tommaso Lucentini is an Influencer
Scaling Analytics & Insight Teams @3Search | LinkedIn Top Voice | Recruitment Marketing & Employer Branding
  • up to £70,000 + 10% bonus
  • Hybrid - 2 days per week in the office
  • WC1 - London

I’m excited to partner with an award-winning luxury fashion brand, their Head of Analytics is looking for a new Data Engineer to join her team with a focus on digital data & AI!

This role is perfect for you if:

  • You want to work tools like Google Analytics to enhance customer journey and retail data.
  • Thrive in a role that blends technical data engineering goals with strategic business impact.
  • Seize the opportunity to strengthen data engineering by supporting key company functions.
  • Join a celebrated organisation renowned for pioneering tech solutions and AI, and fostering a collaborative team atmosphere.

What are we looking for in the ideal candidate?

  • Knowledgeable in e-commerce analytics, experienced with platforms like Google Analytics, Adobe Analytics, Amplitude or similar others
  • Proficient in data modelling, data warehousing, and advanced SQL query crafting.
  • Skilled in ETL processes, preferably with tools like dbt and Sigma.
  • Experienced with cloud platforms and database technologies, particularly GCP and BigQuery
  • Python proficiency is desirable, but not mandatory.
  • Experience working with AI, or interest in AI products.

Here’s what your role will entail:

  • Extract and integrate data from diverse sources, aligning with stakeholder needs.
  • Consolidate data on platforms (using dbt, Sigma, Census, Gravity, Big Query) for optimal stakeholder visualization.
  • Manage the entire ETL cycle within our tech stack.
  • Define and monitor KPIs, maintain documentation, and uphold data governance standards.
  • Collaborate with the Analytics Team, including the Head of Analytics and Data Analysts, using our digital analytics stack (Google Analytics, GA4, Contentsquare) to enhance digital store sales.

Are you ready to take the next step in your career, making significant impacts in the field of digital and web analytics?

Apply here!

We are dedicated to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment in which everyone can make the best use of their skills, free from discrimination or harassment, and in which all choices are based on merit. No person is subjected to any less favourable treatment on any discriminatory grounds on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy and maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Analyst and Engineering
  • Industries
    Retail and Retail Luxury Goods and Jewelry

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