At a Glance
- Tasks: Design and build scalable data models for finance, payments, and shipping.
- Company: Fast-growing marketplace with a collaborative and curiosity-driven culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Genuine influence over the data roadmap and high-impact work.
- Why this job: Make a real impact on data quality and governance in a dynamic environment.
- Qualifications: Strong SQL and Python skills, experience with dbt, Databricks, and Looker.
The predicted salary is between 60000 - 80000 £ per year.
Are you an analytics engineer who loves turning messy data into clean, trusted datasets that actually get used? We're building a data platform that powers a fast-growing marketplace — and we're looking for someone to help shape it.
About the role
You'll partner with data scientists and business stakeholders to design and build high-quality data models across our finance, payments and shipping domains. A big part of your work will be modernising our Looker setup — refactoring definitions upstream into our data stack to make it simpler, faster and less dependent on manual changes.
What you'll be doing
- Designing and building scalable data models in finance, payments and shipping domains
- Refactoring Looker models into performant upstream data models and reducing manual overhead
- Enabling self-service for business users while providing frontline Looker support
- Owning CI/CD pipelines via GitHub Actions and upholding data quality and governance standards
What we're looking for
- Strong SQL and Python skills, with hands-on experience in dbt, Databricks, Airflow or Looker
- Solid analytics engineering fundamentals — data modelling, warehousing, performance optimisation, observability and governance
- Experience in a marketplace or e-commerce environment, with comfort around metrics like GMV, conversion rates and retention
- Background working with financial data, reconciliation and regulatory controls
- Clear communicator who can translate user requirements into technical solutions and work autonomously
- Experience developing CI/CD pipelines using GitHub Actions
Why join us?
- High-impact work on a growing marketplace
- Genuine influence over the data roadmap
- Collaborative, curiosity-driven data culture
Senior Data Engineer in Devon employer: Signify Technology
Join a dynamic and innovative team in London as a Senior Data Engineer, where you'll have the opportunity to make a significant impact on our fast-growing marketplace. We foster a collaborative and curiosity-driven culture that encourages personal and professional growth, offering you the chance to shape our data roadmap while working with cutting-edge technologies. Enjoy the benefits of a hybrid work model, competitive compensation, and a supportive environment that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Devon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your SQL and Python prowess, especially if you've worked with tools like dbt or Looker. A strong portfolio can really set you apart.
✨Tip Number 3
Prepare for those interviews! Brush up on your analytics engineering fundamentals and be ready to discuss how you've tackled challenges in data modelling and governance. Practice explaining complex concepts in simple terms — it shows you can communicate effectively with stakeholders.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience in finance, payments, and shipping domains, and let us know how you can contribute to our data culture.
We think you need these skills to ace Senior Data Engineer in Devon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your SQL and Python expertise, and any relevant projects you've worked on in finance or e-commerce.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our marketplace. Share specific examples of how you've turned messy data into clean datasets in the past.
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like dbt, Databricks, and Looker. We want to see how you've used these technologies to build scalable data models and improve data quality.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Signify Technology
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss how you've designed and built scalable data models in previous roles, especially in finance, payments, or shipping domains. Having specific examples will show that you can hit the ground running.
✨Show Off Your SQL and Python Skills
Since strong SQL and Python skills are a must-have, prepare to demonstrate your expertise. You might be asked to solve a problem on the spot, so practice writing queries and scripts that showcase your ability to manipulate and analyse data effectively.
✨Understand Looker and CI/CD Pipelines
Familiarise yourself with Looker and CI/CD pipelines using GitHub Actions. Be prepared to discuss how you've modernised Looker setups or managed CI/CD processes in the past. This will highlight your technical prowess and your ability to reduce manual overhead.
✨Communicate Clearly
As a clear communicator, you’ll need to translate user requirements into technical solutions. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to collaborate with both technical and non-technical stakeholders.
