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- Tasks: Design and build ETL/ELT pipelines for advertising data.
- Company: Global advertising tech company based in London.
- Benefits: Competitive salary and full UK working rights.
- Why this job: Join a dynamic team to optimise data workflows and enhance content monetisation.
- Qualifications: 5+ years experience with cloud platforms, Spark SQL, and PySpark.
The predicted salary is between 43200 - 72000 £ per year.
A global advertising tech company in London is seeking a Data Engineer to design and build ETL/ELT pipelines for advertising data. The ideal candidate will have over 5 years' experience with cloud platforms, particularly Microsoft Fabric, and strong skills in Spark SQL and PySpark. You will collaborate with teams to optimize data workflows, enhancing performance and content monetization. This role offers a competitive salary and requires full UK working rights.
Data Engineer: TV Advertising Data & Insights in London employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: TV Advertising Data & Insights in London
✨Tip Number 1
Network like a pro! Reach out to folks in the advertising tech space, especially those who work with data engineering. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially if you've worked with Microsoft Fabric, Spark SQL, or PySpark. 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. We recommend practising how you'd optimise data workflows or enhance content monetisation, as these are key aspects of the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer: TV Advertising Data & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms like Microsoft Fabric and your skills in Spark SQL and PySpark. We want to see how your background aligns 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 clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've optimised data workflows or tackled challenges in previous roles. We’re looking for candidates who can enhance performance and content monetisation, so let us know how you’ve done this before!
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 Datatech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, Spark SQL, and PySpark. 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 ETL/ELT pipelines. Have examples ready that demonstrate your ability to optimise data workflows and enhance performance, especially in the context of advertising data.
✨Collaboration is Key
Since this role involves working with various teams, be prepared to discuss how you've successfully collaborated in the past. Highlight any cross-functional projects and how your contributions led to improved outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data monetisation or how they measure the success of their advertising campaigns. This shows your genuine interest in the role and the company.
