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Senior Data Engineer at WGSN | London

WGSNLondon, UK
On-site Full-time

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Experience Level

Senior

Qualifications

Qualifications- Proven experience in data engineering, specifically with data pipeline construction and optimization- Advanced SQL skills and proficiency in data modeling- Familiarity with platforms such as Snowflake and Databricks- Strong analytical skills and attention to detail- Ability to work collaboratively in a team environment- Excellent communication and mentoring skills- Passion for building robust data systems and driving innovation.

About the job

The Role

We are excited to invite applications for the position of Senior Data Engineer to join our dynamic Data team based in London.

This is an office-based position located at our London headquarters.


Working at WGSN
Together, we shape the future.

At WGSN, we thrive in a fast-paced and innovative environment filled with opportunities for professional growth. Our diverse team consists of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants, and more, all dedicated to a shared mission: to create tomorrow.

Our reliable consumer and design forecasts empower exceptional product design, helping our clients envision a better future. Our offerings span consumer insights, beauty, consumer technology, fashion, interiors, lifestyle, food and drink forecasting, data analytics, and expert advisory services. If you're a specialist in your field, we would love to hear from you.


Role Overview

As WGSN expands its AI and Data capabilities, we aim to enhance our data architecture. As a Senior Data Engineer, you will be instrumental in designing, optimizing, and maintaining the data pipelines, models, and infrastructure that support our classification systems, AI workflows, forecasting models, TikTok insights, and consumer intelligence products.

You will collaborate closely with our senior data scientists, analysts, and engineers, especially within the TikTok and Pulse pods, ensuring high-quality, well-structured, reliable data flows across Snowflake, Databricks, and downstream systems. This position is tailored for an individual with substantial technical expertise, advanced SQL and data modeling skills, and a passion for developing scalable, efficient data systems. This role is hands-on and requires a minimum of 5 years of experience in data engineering, including the ability to mentor junior engineers when necessary.


Key Responsibilities

Data Architecture & Modeling

- Design, develop, and maintain scalable data architectures...

About WGSN

WGSN is a leading provider of consumer and design insights, dedicated to helping businesses create a better future through informed decision-making and innovative product design. With a strong focus on trends across various sectors, including fashion, technology, and lifestyle, WGSN empowers its clients with the knowledge and foresight to thrive in a rapidly changing market.

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