Data Engineer

Harrods; City of Westminster; On-site; GBP 50,000 - 70,000; Full time

Job summary

A luxurious retail brand in the UK seeks a Data Engineer responsible for building, testing, and implementing data infrastructure and pipelines. The role involves troubleshooting data issues, developing insights, and requires skills in Python, PySpark, and Azure services. Offering a benefits package including flexible working and generous store discounts, the company promotes a friendly environment for career growth.

Benefits

Company pension

Flexible working

25 days' holiday

Birthday off

33% in-store discount

Season ticket loan

Qualifications

• Experience using Python and PySpark to build data pipelines.
• Experience with Databricks and Git.
• Hands-on experience with Azure services including ADLS and Synapse.
• Proficiency in Fabric Dataflows and Data Pipelines.
• Experience using DBT for data modeling.
• Experience in software engineering and data access preparation.

Responsibilities

• Perform data analysis to troubleshoot data-related issues.
• Implement strategies to acquire data and develop new insights.
• Monitor metrics and analyze data for system improvements.
• Administer and troubleshoot data-related challenges.

Skills

Python

PySpark

Databricks

Git

CI/CD

Azure services

DBT

data modeling

database management

machine learning deployment

data analysis

interpersonal skills

communication skills

time management

multitasking

Job description

Overview

We are looking for a Data Engineer to join our team at Harrods. In this role, you will be responsible for building, testing and implementing data infrastructure and pipelines that collect, centralize, and curate data from multiple internal and external sources.

Responsibilities

• Perform data analysis required to troubleshoot data‑related issues and assist in the resolution of data issues.
• Implement strategies to acquire data and promote the development of new insights across the business.
• Monitor existing metrics, analyze data, and lead partnership with teams to identify and implement system and process improvements.
• Administer, monitor, troubleshoot, analyze and resolve data‑related challenges.

Qualifications

• Previous experience using Python and PySpark to build data pipelines.
• Previous experience with Databricks and using Git and CI/CD.
• Hands‑on experience integrating Fabric with Azure services (e.g., ADLS, Synapse, Power BI).
• Proficiency in building and managing Fabric Dataflows and Data Pipelines for ingestion and transformation.
• Experience using DBT (Data Build Tool) for data modeling and transformation within Fabric environments.
• Experience in database management, software engineering, deployment of machine learning models, and coordinating data access, preparation and feature engineering.
• Excellent interpersonal and communication skills, strong time‑management and the ability to multitask.

Benefits

In return you’ll receive an excellent benefits package, including a company pension, flexible working, 25 days' holiday, your birthday off, up to 33% in‑store discount (including across our food hall and restaurants), and a season ticket loan.

Our Promise to You

Help us make the impossible possible for our customers and we’ll do something remarkable for you. We offer a friendly environment to inspire your best work, and abundant opportunities to build an exceptional career across the varied specialisms of our business.

Uniquely You

We believe in the potential for growth and value individual strengths. Demonstrating the majority of skills and strong experience to thrive in this role, we encourage you to apply. At Harrods we celebrate and invite applications from all cultures, backgrounds, tastes, and experiences, and we are proud of our culture where people from all walks of life can grow and thrive.

Additional Information

Harrods is one of the world's leading luxury department stores and we're becoming a destination for top designers and the most sought‑after brands from around the globe. Our combined mission is to make visiting our iconic Knightsbridge store one of the world's most inspiring shopping experiences.

Connect with Us

Search #TogetherHarrods on LinkedIn, Facebook, or follow us on Instagram @togetherharrods.