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- Tasks: Build and maintain scalable data infrastructure for analytics in a fast-paced environment.
- Company: Leading marketing tech company in the UK with a dynamic startup vibe.
- Benefits: Competitive salary, comprehensive benefits, and a vibrant work culture.
- Why this job: Join a team where your data skills can drive impactful business intelligence.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills, AWS experience.
- Other info: Collaborate with diverse teams and ensure top-notch data quality.
The predicted salary is between 48000 - 72000 £ per year.
A leading marketing technology company in the United Kingdom is seeking a Senior Data Engineer to develop and maintain scalable data infrastructure for analytics.
The ideal candidate has over 3 years of experience in data engineering, strong Python and SQL skills, and experience with AWS services.
You will collaborate with cross-functional teams and ensure data quality to support business intelligence.
This role offers competitive salary and comprehensive benefits in a dynamic startup environment.
Senior Data Engineer for Ad Tech & Analytics in England employer: Channel Factory LLC
Contact Detail:
Channel Factory LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer for Ad Tech & Analytics in England
✨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 us land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and AWS. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research the company, understand their tech stack, and be ready to discuss how we can improve their data infrastructure. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals to join our dynamic team.
We think you need these skills to ace Senior Data Engineer for Ad Tech & Analytics in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python, SQL, and AWS. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for our team. We love hearing personal stories that connect to your professional journey.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you've successfully collaborated with others. We value teamwork, so let us know how you’ve contributed to group projects or initiatives!
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’re considered for the role. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Channel Factory LLC
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any AWS services you've worked with. This will show that you not only have the experience but also the technical depth they’re looking for.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Think about times when you had to communicate complex data concepts to non-technical stakeholders and how you ensured everyone was on the same page.
✨Emphasise Data Quality
Data quality is crucial in analytics, so come armed with examples of how you've maintained or improved data integrity in previous roles. Discuss any tools or processes you’ve implemented to ensure high-quality data, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data infrastructure and analytics goals. This shows your genuine interest in the role and helps you understand how you can contribute to their success. Plus, it gives you a chance to assess if the company culture aligns with your values.
