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For Companies At a Glance
- Tasks: Design and maintain data pipelines, driving innovation in digital advertising.
- Company: Fast-growing startup with award-winning solutions in digital advertising.
- Benefits: Hybrid working, health package, 30+ holidays, and a vibrant work culture.
- Why this job: Join a talented team and shape the future of online advertising.
- Qualifications: 4+ years as a Data Engineer with strong problem-solving skills.
- Other info: Exciting opportunities for mentorship and career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ 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.
The Role
We're 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'll 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.
Technology / Skills requirements
- SQL
- ELT/ETL
- Data Modelling
- dbt models
- Version control (Git)
- Data processing and orchestration using Airflow or similar
- Google BigQuery or Redshift
- Cloud based services: GCP (preferred) or AWS
- Agentic development frameworks
- Automations
About You
- 4 years+ experience as a Data Engineer solving complex and scaled data challenges
- Someone who can work in and lead cross-functional scrum teams
- Problem-solver mindset
- You welcome responsibility and want to shape products
- Excellent communicator able to distil down complex matters to various stakeholders
- Willing and able to mentor and support juniors and peers as necessary
What's on offer
- Work alongside some of the brightest minds and leading advertising technologies
- Shaping the future of online advertising
- A genuinely memorable experience you will look back on fondly
- Health & Wellness package
- Medical Insurance
- Income Protection
- 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)
- Lots of one-off and regular treats & socials
We're screening & interviewing right away - so apply now if this sounds like you - or get in touch if you know someone that might be more closely suited for a generous referral fee.
Senior Data Engineer (12 months FTC to Perm) in London employer: Diagonal recruitment
Contact Detail:
Diagonal recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (12 months FTC to Perm) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL, ETL processes, and data modelling skills. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and problem-solving mindset.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let us see your work. Highlight any innovative solutions you've developed, especially those involving cloud services like GCP or AWS, as this will make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re screening and interviewing right away, so the sooner you apply, the better your chances!
We think you need these skills to ace Senior Data Engineer (12 months FTC to Perm) in London
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, ETL processes, and any relevant cloud services like GCP or AWS. 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 team. Don’t forget to mention your problem-solving mindset and experience in cross-functional teams.
Showcase Your Projects: If you've worked on any cool projects, make sure to include them! Whether it's designing data pipelines or using dbt models, we love seeing real examples of your work. It helps us understand your hands-on experience better.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we’re screening applications right away!
How to prepare for a job interview at Diagonal recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, ETL processes, and cloud services. Brush up on your experience with Google BigQuery or Redshift, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've tackled in your previous roles. Think about specific problems you solved, the approach you took, and the impact it had on the project or team. This will demonstrate your problem-solver mindset that they’re looking for.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to distil information for various stakeholders, so being able to communicate effectively is key. Consider doing mock interviews with a friend to refine your explanations.
✨Be Ready to Lead and Mentor
Since they’re looking for someone who can lead cross-functional teams and mentor juniors, think about your leadership experiences. Prepare to discuss how you’ve supported others in your team and contributed to their growth, as this will show you’re a great fit for their culture.
