Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines to support innovative advertising products.
- Company: Fast-growing startup in the digital advertising space with award-winning solutions.
- Benefits: Hybrid working, medical insurance, childcare vouchers, gym scheme, and generous holiday allowance.
- Why this job: Join a dynamic team shaping the future of online advertising with cutting-edge technology.
- Qualifications: 4+ years as a Data Engineer with experience in SQL, GCP or AWS, and team leadership.
- Other info: Be part of a collaborative environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a well-funded startup (150+ people) and readying to scale. They have award-winning solutions in the fast-moving digital advertising space with proprietary tech, media and petabyte scale data.
We are seeking a well-rounded Senior Data Engineer to join a Product, Data and Engineering org of 50+ people based out of London and working in scrums and being involved end-to-end across multiple products covering audience insights, analytics and advertising.
You will be relied upon to design, develop and maintain data pipelines to enhance and support products as well as design & deliver new innovations for growth, including Agentic development.
- SQL
- Data Modelling
- Data processing and orchestration using Airflow or similar
- GCP (preferred) or AWS
- 4 years+ experience as a Data Engineer solving complex and scaled data challenges
- Someone who can work in and lead cross-functional scrum teams
Benefits include:
- Medical Insurance
- Childcare vouchers
- Gym & Cycle scheme
- Pension
- Life Assurance
- Hybrid working (2-3 days) from a Central London office
- 30+ holidays plus bank holidays (pro-rated)
Senior Data Engineer (Permanent) employer: Diagonal recruitment
Contact Detail:
Diagonal recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Permanent)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at startups or in digital advertising. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL, data modelling, and orchestration tools like Airflow. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex data challenges in the past and how you can contribute to their growth.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Engineer (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, data modelling, and any relevant tools like Airflow or GCP. We want to see how your skills match 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 innovative projects. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's designing data pipelines or solving complex challenges, we want to know how you've made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Diagonal recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL, data modelling, and the tools like Airflow or GCP that are mentioned in the job description. Brush up on your technical skills and be ready to discuss how you've tackled complex data challenges in the past.
✨Showcase Your Team Spirit
Since this role involves working in cross-functional scrum teams, be prepared to share examples of how you've collaborated with others. Highlight any leadership experiences and how you’ve contributed to team success in previous projects.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data pipelines or product innovations. Think through potential scenarios beforehand and be ready to explain your thought process and decision-making.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future and its tech stack. Inquire about their current projects or how they envision the role evolving as they scale. This shows you’re not just interested in the job, but also in the company’s growth.
