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- Tasks: Build scalable ETL pipelines and manage cloud-based data platforms for TV advertising.
- Company: Leading data technologies firm with a focus on innovation.
- Benefits: Competitive salary and a dynamic working environment.
- Why this job: Join us to optimise campaigns and see how data drives content performance.
- Qualifications: 5+ years of experience and proficiency in Spark SQL required.
- Other info: Exciting opportunities for growth in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading data technologies firm is seeking an experienced Data Engineer to build scalable ETL pipelines and manage cloud-based data platforms. The role involves ingesting and integrating data across various sources to optimize campaigns and measure performance.
Candidates should have over 5 years of experience, proficiency in Spark SQL, and a genuine curiosity for how data drives content performance. A competitive salary and a dynamic working environment are offered.
Data Engineer: TV Advertising Data Pipelines & Insights employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: TV Advertising Data Pipelines & Insights
✨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 or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects you've worked on. 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 Spark SQL and other relevant tools. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer: TV Advertising Data Pipelines & Insights
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data engineering. We want to see how you've built scalable ETL pipelines and managed cloud-based platforms, so don’t hold back on the details!
Get Technical: Since proficiency in Spark SQL is a must, be sure to mention any relevant projects or experiences where you’ve used it. We love seeing how you’ve tackled challenges with data integration and performance measurement.
Let Your Curiosity Shine: We’re looking for candidates who are genuinely curious about how data drives content performance. Share examples of how your curiosity has led you to discover insights or improve processes in your previous roles.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Datatech
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering concepts, especially around ETL processes and cloud-based platforms. Be ready to discuss how you've built scalable pipelines in the past and how you’ve integrated data from various sources.
✨Showcase Your Spark SQL Skills
Since proficiency in Spark SQL is a must, prepare to demonstrate your expertise. You might be asked to solve a problem or optimise a query on the spot, so practice common scenarios and be ready to explain your thought process.
✨Be Curious About Content Performance
This role requires a genuine curiosity about how data drives content performance. Come prepared with examples of how your work has impacted campaign optimisation and be ready to discuss any insights you've gained from previous projects.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data strategies, team dynamics, and the tools they use. This shows your interest in the role and helps you gauge if it’s the right fit for you.
