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- Tasks: Design and build scalable ETL/ELT pipelines for TV advertising data.
- Company: Global leader in advertising data with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and optimise campaigns that make a real impact.
- Qualifications: 5+ years in data engineering, strong Spark SQL and Azure Data Factory skills.
- Other info: London-based role with full UK working rights required.
The predicted salary is between 75000 - 85000 £ per year.
A global player in advertising data is seeking an experienced Data Engineer to design and build scalable ETL/ELT pipelines for TV advertising data. The ideal candidate has over 5 years of experience in data engineering, strong skills in Spark SQL and Azure Data Factory, and a passion for optimizing campaigns and measuring performance. This London-based role requires full UK working rights and offers a competitive salary between £75,000 and £85,000.
Data Engineer - FAST TV Advertising Data & Analytics in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - FAST TV Advertising Data & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data engineering or advertising. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially those using Spark SQL and Azure Data Factory. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Think about how you’ve optimised campaigns in the past and be ready to discuss your approach to measuring performance.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer - FAST TV Advertising Data & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Spark SQL and Azure Data Factory. 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! Tell us why you’re passionate about optimising campaigns and measuring performance in TV advertising. We love hearing personal stories that connect your experience to our mission.
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills and experiences. We’re looking for someone who can design and build scalable ETL/ELT pipelines, so give us the details on your past work!
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 don’t miss any important updates from our team. Let’s get started on this journey together!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Inside Out
Make sure you brush up on your Spark SQL and Azure Data Factory skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about your experience designing and building scalable ETL/ELT pipelines. Have examples ready that demonstrate your ability to optimise data flows and improve performance, especially in the context of TV advertising data.
✨Understand the Business Impact
It's not just about the tech; show that you understand how your work impacts campaign optimisation and performance measurement. Be prepared to discuss how data engineering can drive better advertising outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s current projects or challenges they face in data engineering. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
