Job Description

Job Introduction

About Selfridges

Here at Selfridges our customers are at the heart of everything we do, and we want to be known for delivering the best, most extraordinary experiences that keep our customers coming back. We are on a journey to build flexible, innovative technology platforms that create inspiring and effortless experiences across all our customer touchpoints.

Our Engineering team plays a central role in shaping these digital experiences, our e-commerce and digital platforms are central to creating innovative, customer-centric experiences. As we grow, we are looking for talented, curious individuals to join us, bring their unique perspectives, and help reimagine our digital platforms to new heights.

This is a hybrid role working from home and our offices in either London or Leicester.

A bit about the role

We're looking for a

Tech

Lead

to help evolve Selfridges'

Enterprise Data Platform (EDP)

, the foundation that powers insights, personalisation, and data-driven decision-making across the business.

In this role, you'll

be a leader in shaping the technical direction

for our Snowflake-based data ecosystem while supporting the Architecture function. You'll work across

Python

,

AWS

, and

Salesforce Data Cloud

, helping to design, build, and optimise the pipelines and integrations that connect our digital, store, and enterprise systems.

Alongside your technical delivery, you'll

mentor and line manage engineers

, helping them grow their skills and ensuring best practices are embedded across the team. You'll collaborate closely with architects, analysts, and product teams to deliver secure, performant, and scalable data solutions that enable world-class experiences for our customers.

Key Responsibilities

Lead and contribute to defining the

technical direction

and standards of the Enterprise Data Platform in collaboration with architecture and engineering leads Support the

Architecture function

in designing scalable data models and integration patterns Lead by example through hands-on design and development of

data pipelines

in

Python

,

SQL

, and

AWS services

(Lambda, Glue, Step Functions, S3) Help evolve and maintain the

Snowflake

environment, focusing on optimisation, governance, and performance Collaborate on integrations between Snowflake, Salesforce, and enterprise systems, including future

Salesforce Data Cloud

enablement Partner with

Power BI

and analytics teams to ensure data reliability and accessibility for dashboards, insights, and reporting Work with

DevOps and Platform Engineering

to enhance CI/CD, observability, and automation practices for data workloads Drive a strong focus on

data quality

,

reusability

, and

performance

across all ingestion and transformation layers

Line

manage

and mentor

a team of data engineers, conducting regular 1:1s, supporting development plans, and fostering a collaborative, inclusive engineering culture Collaborate across squads and domains to align data platform delivery with Selfridges' wider digital and customer experience strategies

A bit about you

Experienced

data engineer or technical lead

, ideally with previous line management or mentorship experience Strong hands-on experience with

Snowflake

and

AWS data services

(Lambda, Glue, Step Functions, S3, SNS/SQS) Proficient in

Python

and

SQL

, building reliable and maintainable ETL/ELT pipelines Solid understanding of

data modelling

(dimensional, star schema, or modern data mesh concepts) Experience integrating with

Salesforce

(CRM, APIs, or Data Cloud) Familiar with

Power BI

or similar BI tools for downstream analytics and reporting Knowledge of

CI/CD

,

infrastructure as code

(Terraform or CDK), and modern observability tooling Skilled communicator and collaborator, able to work effectively with architects, product managers, and cross-functional teams Passionate about

engineering excellence

,

team development

, and delivering data solutions that drive real business impact Enthusiastic about mentoring and supporting engineers' growth, with a track record of building high-performing teams

Desirable

Experience with

dbt

,

Airflow

, or

Dagster

Familiarity with

event-driven architectures

(EventBridge, Kafka, SNS/SQS) Exposure to

data governance

,

security

, and compliance frameworks Background in

retail, loyalty, or customer data platforms

Experience working with or implementing

Salesforce Data Cloud

integrations Awareness of

AI/ML data readiness

practices, including feature engineering, dataset curation, and model-serving pipelines Familiarity with

Snowflake Cortex

,

AWS Bedrock

, or other cloud-native AI/ML services for data enrichment and automation Interest in emerging

GenAI and LLM

use cases for personalisation, recommendation systems, and intelligent automation

Selfridges



Salary Competitive plus benefits


Annually


Job Reference selfridges/TP/307538/6414


Contract Type Permanent


Closing Date 23 November, 2025


Job Category IT


Location London, United Kingdom


24 October, 2025