At a Glance
- Tasks: Design and develop 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 48000 - 84000 £ 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 Developer (Permanent) employer: Diagonal recruitment
Contact Detail:
Diagonal recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Developer (Permanent)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at startups or in data roles. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, data modelling, and pipeline development. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in digital advertising. Be ready to discuss how you've tackled complex data challenges in the past—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Data Developer (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Developer role. Highlight your experience with SQL, data modelling, and any relevant projects you've worked on. We want to see how your skills align with our needs!
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 team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to solve complex data challenges. We’re keen to see your creativity in action!
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 mentioned like Airflow and GCP. Brush up on your knowledge of data pipelines 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 assess your problem-solving skills. Think about specific scenarios where you had to innovate or overcome obstacles in data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Vision
Research the startup's products and their impact on digital advertising. Be ready to discuss how your skills can help shape the future of online advertising and contribute to their growth. Showing genuine interest in their mission will set you apart.