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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 43200 - 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 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
✨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 eyeing. A friendly chat can open doors and give you insider info on job openings.
✨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 ensured data quality. Confidence is key, so let your experience shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like 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 Engineer for Ad Tech & Analytics
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 hearing about your experiences and what excites you about working in Ad Tech.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve worked with others to achieve great results!
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’ve had to communicate complex data concepts to non-technical stakeholders and how you ensured everyone was on the same page.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle some technical challenges during the interview. They might ask you to solve a problem on the spot or walk through your thought process on a past issue. Practice explaining your approach clearly and logically, as this will highlight your analytical skills.
✨Understand Their Business Needs
Research the company’s products and how they use data to drive their marketing strategies. Being able to articulate how your role as a Senior Data Engineer can directly impact their business intelligence efforts will set you apart from other candidates. Show them you’re not just a techie, but someone who understands the bigger picture.
