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- Tasks: Build and optimise scalable data pipelines for AI and machine learning.
- Company: Join Checkatrade, the UK's leading home improvement marketplace.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in data engineering and a passion for clean, reliable data.
The predicted salary is between 50000 - 60000 £ per year.
Important: visa sponsorship is not available for this role.
As our next Data Engineer, you'll play a key role in helping us build the UK's go-to home improvement marketplace. You'll be at the heart of Checkatrade's AI era building the trusted, governed data foundations that power smarter customer journeys, better trade matching, and intelligent automation across the business. This isn't just about moving data from A to B; it's about creating the scalable pipelines, clean datasets, and robust platform capabilities that let AI and machine learning work safely and effectively in production.
What you'll actually spend your time on:
- Building and optimising scalable ETL and ELT pipelines on AWS integrating data from internal and external systems and turning it into clean, reusable datasets ready for analytics, machine learning, and AI-powered product experiences.
- Developing data models and feature-ready datasets that support both human decision-making and machine intelligence, including work that feeds directly into customer-facing AI services.
- Defining and maintaining data SLAs, quality checks, and monitoring so our platform stays reliable, performant, and trustworthy and so the teams depending on it can crack on with confidence.
- Collaborating closely with Data Scientists, Analysts, Product teams, and Software Engineers to understand what high‑quality data looks like for each use case and deliver it in a way that's governed, lineage‑tracked, and easy to work with.
- Contributing to platform observability, orchestration reliability, and access patterns that make AI safe in production clear lineage, robust pipelines, and repeatable processes from source to serving.
- Helping shape engineering standards and best practices across the data team from data modelling and transformation to performance optimisation and troubleshooting so the whole platform keeps getting better.
Data Engineer employer: Checkatrade
Contact Detail:
Checkatrade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL pipelines or data models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL and ELT pipelines, AWS, and any relevant data modelling skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Checkatrade. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to include your technical skills in your application. Mention your experience with data quality checks, monitoring, and collaboration with cross-functional teams. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Checkatrade
✨Know Your Data Stuff
Make sure you brush up on your data engineering fundamentals. Understand ETL and ELT processes, especially in the context of AWS. Be ready to discuss how you've built scalable pipelines and optimised datasets in previous roles.
✨Showcase Collaboration Skills
This role involves working closely with Data Scientists, Analysts, and Product teams. Prepare examples of how you've successfully collaborated in the past, focusing on how you’ve delivered high-quality data solutions that meet various team needs.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach defining data SLAs or troubleshooting a pipeline issue. Show them your analytical thinking and how you can maintain data quality under pressure.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their data practices, team dynamics, and how they envision the future of AI in their platform. This shows your genuine interest and helps you gauge if it’s the right fit for you.