Job Description

It's a great time to join Screwfix. Thanks to the hard work of our team and record-breaking sales, we're proud to be one of the fastest-growing retailers in the UK. And we want to pass that growth onto you.


As a Data Engineer, you'll work with our state-of-the-art customer database and marketing technology infrastructure. Data is at the heart of our business, and we are fortunate to have a wealth of information for our extensive customer database. You'll be designing, implementing, and maintaining our data infrastructure and pipelines, playing a crucial role in enabling data-driven analytics and customer marketing. You'll work collaboratively with cross-functional teams to gather requirements, implement data models, and ensure data accuracy and integrity. Reporting to the Senior CRM & Data Operations Manager, you'll be part of a successful and experienced data engineering team. This role requires a strong data engineering, analytics, and customer marketing background.

At Screwfix, we believe happy, fulfilled colleagues create a stronger business. That's why we've built a workplace that works for you--combining flexibility, inclusivity, and sustainability with opportunities to thrive.

Work-Life Balance:

Enjoy the best of both worlds: Our hybrid working offering includes face-to-face collaboration at our welcoming Head Office and flexible hours to fit life's priorities, whether it's the school run or personal time.

Belonging & Growth:

From day one, you'll feel part of a team that values your voice and supports your growth. We're proud to champion diversity because we know unique perspectives make us stronger. Whether starting out or looking for your next step, you'll thrive here

Sustainability That Matters:

We're committed to creating a better future, taking bold steps to reduce carbon emissions, use sustainable packaging, and innovate for a greener world. Sustainability drives everything we do, and we're proud to make a real impact for our planet and future generations.

Join Screwfix and discover a workplace where you can belong, grow, and help build a more sustainable future.

Design and Build Data Pipelines:

Create and maintain batch, streaming and integration pipelines.

Data Management:

Assemble large, complex data sets that meet functional and non-functional business requirements.

Process Improvement:

Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.

Data Integration:

Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.

Collaboration:

Work with stakeholders including data scientists, analysts, and other team members to support their data infrastructure needs.

Data Quality:

Ensure data is clean, reliable and readily available for analysis and reporting.

Maintain data

in line with GDPR obligations - housekeeping and deletion of data in line with data retention policy, reporting on user consumption.

Create and maintain documentation

to enable data governance.

Management of customer golden record

via data entity matching and development of the single customer view models.

Build analytical data models

with consideration for performance, usability and scalability. *

Build and maintain APIs and micro-services

utilising best practice to ensure security and performance.