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- Tasks: Build scalable data pipelines and enhance advertising technology.
- Company: Leading advertising tech company in Greater London with a growth-oriented culture.
- Benefits: Flexible working options and a supportive environment for career development.
- Why this job: Join a dynamic team and make an impact in neuro-contextual advertising.
- Qualifications: 5+ years of Data Engineering experience and a degree in a quantitative field.
- Other info: Great opportunity for professional growth in a collaborative setting.
The predicted salary is between 55000 - 77000 £ per year.
A leading advertising technology company in Greater London seeks a Mid-Senior Data Engineer to enhance neuro-contextual advertising. The role involves developing data architecture, improving data reliability, and collaborating with data teams.
Candidates should have at least 5 years of Data Engineering experience and a degree in a quantitative field. Flexible working modalities are available, emphasizing a supportive and growth-oriented culture.
Remote Data Engineer - Build Scalable Data Pipelines employer: Seedtag
Contact Detail:
Seedtag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer - Build Scalable Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines and architecture. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Think about how you would tackle issues like data reliability and scalability, and be ready to discuss your past experiences.
✨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.
We think you need these skills to ace Remote Data Engineer - Build Scalable Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially any work with scalable data pipelines. 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 neuro-contextual advertising and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for someone with solid technical expertise, so make sure to list your programming languages, tools, and technologies you’ve worked with. Highlight any experience that demonstrates your ability to improve data reliability.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Seedtag
✨Know Your Data Engineering Fundamentals
Make sure you brush up on your data engineering principles, especially around building scalable data pipelines. Be ready to discuss your experience with data architecture and reliability, as these are key aspects of the role.
✨Showcase Your Collaborative Spirit
Since the job involves working closely with data teams, prepare examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to improved outcomes, as this will resonate well with their supportive culture.
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving skills and knowledge of data tools. Practise coding challenges or data manipulation tasks relevant to the role, so you can demonstrate your expertise confidently.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s growth and culture. Inquire about their approach to neuro-contextual advertising and how they support professional development, which aligns with their emphasis on a growth-oriented environment.