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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 skills will directly impact business intelligence and analytics.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills, AWS experience.
- Other info: Collaborative atmosphere with opportunities for growth and innovation.
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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering or at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've ensured data quality—this is key for the role!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer for Ad Tech & Analytics in London
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 the role, 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 data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can fit into our dynamic environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
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 their focus on business intelligence.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your knowledge of the industry!
