At a Glance
- Tasks: Design and build data pipelines while collaborating with teams to deliver actionable insights.
- Company: A fast-growing digital marketing firm based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for career growth.
- Why this job: Join a dynamic team and work with top platforms like Meta, TikTok, and YouTube.
- Qualifications: Experience in GCP, SQL, and Python is essential.
- Other info: Exciting opportunity to be the first data hire and shape the future of data infrastructure.
The predicted salary is between 36000 - 60000 £ per year.
A growing digital marketing firm in London seeks a Mid-Level Data Engineer to establish and maintain critical data infrastructure. You will design and build pipelines, develop reliable systems, and collaborate with various teams to ensure that data insights are useful and actionable.
This hands-on role offers the chance to grow your career in a dynamic environment, working extensively with GCP, SQL, and Python to integrate and automate data across platforms like Meta, TikTok, and YouTube.
Data Engineer | First Data Hire: Build Core Pipelines in City of London employer: Pubitygroup
Contact Detail:
Pubitygroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | First Data Hire: Build Core Pipelines in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in GCP, SQL, and Python, making you stand out to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've tackled challenges in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Engineer | First Data Hire: Build Core Pipelines in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP, SQL, and Python. We want to see how you've built pipelines or worked on data infrastructure in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about this role and how your skills can help us build critical data infrastructure. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you’ve worked on any cool projects involving data integration or automation, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to platforms like Meta, TikTok, or YouTube.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Pubitygroup
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, SQL, and Python. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. Being able to share specific examples will show that you can hit the ground running.
✨Understand the Business Context
Research the digital marketing firm and understand how they use data to drive insights. Familiarise yourself with platforms like Meta, TikTok, and YouTube, and think about how your role as a Data Engineer can contribute to their marketing strategies.
✨Prepare for Hands-On Challenges
Expect practical assessments or coding challenges during the interview. Practice building data pipelines or solving problems using SQL and Python. This will not only demonstrate your technical skills but also your problem-solving approach.
✨Show Your Collaborative Spirit
Since this role involves working with various teams, be prepared to discuss your experience in collaboration. Share examples of how you’ve worked with others to ensure data insights are actionable, highlighting your communication skills and teamwork.