At a Glance
- Tasks: Transform messy data into clean, trusted datasets for a fast-growing marketplace.
- Company: Join a dynamic team in a hybrid role at a leading data platform.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture that values curiosity and innovation in data engineering.
- Why this job: Make a real impact by shaping the future of our data infrastructure.
- Qualifications: Strong SQL and Python skills, with experience in dbt, Databricks, or 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.
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.
- Designing and building scalable data models in finance, payments and shipping domains
- Refactoring Looker models into performant upstream data models and reducing manual overhead
- Owning CI/CD pipelines via GitHub Actions and upholding data quality and governance standards
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.
Background working with financial data, reconciliation and regulatory controls.
Genuine influence over the data roadmap.
Collaborative, curiosity-driven data culture.
Senior Engineer, Data Engineering employer: Signify Technology
Join a forward-thinking company in London that values innovation and collaboration, where as a Senior Engineer in Data Engineering, you'll have the opportunity to shape a cutting-edge data platform. With a strong emphasis on employee growth, a supportive work culture, and the chance to work alongside talented data scientists and business stakeholders, this role offers a meaningful career path in a dynamic marketplace. Enjoy the benefits of a hybrid work model, competitive compensation, and the unique advantage of contributing to impactful projects in the finance, payments, and shipping domains.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. We love seeing real examples of your work, so make sure to highlight your SQL and Python prowess.
✨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. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who fit our collaborative, curiosity-driven culture.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, especially in data modelling and performance optimisation.
Tailor Your Experience:When writing your application, focus on your experience with financial data and any relevant projects you've worked on. This will help us see how you can contribute to our finance, payments, and shipping domains.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make it easy for us to understand your experience and what you bring to the table.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you’ve got!
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. This will show that you understand the core responsibilities of the position.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common scenarios and be ready to explain your thought process clearly.
✨Familiarise Yourself with Looker and CI/CD Pipelines
Since modernising Looker setups is a key part of the role, make sure you know how to refactor Looker models into performant upstream data models. Also, be prepared to discuss your experience with CI/CD pipelines, particularly using GitHub Actions, as this will highlight your technical proficiency.
✨Emphasise Collaboration and Curiosity
This role requires working closely with data scientists and business stakeholders, so be ready to share examples of how you've collaborated in the past. Highlight your curiosity-driven approach to data challenges, as this aligns well with the company's culture and values.
