At a Glance
- Tasks: Build and maintain data engineering platforms, focusing on ELT pipelines and BigQuery.
- Company: Join Omnicom Media Group, a leader in the media industry.
- Benefits: Competitive salary, growth opportunities, and a collaborative team environment.
- Other info: Be part of a high-profile team with excellent career advancement potential.
- Why this job: Make an impact by ensuring data integrity for global clients across 26+ ad platforms.
- Qualifications: Experience in data engineering and a passion for scalable processing.
The predicted salary is between 59400 - 72600 £ per year.
Omnicom Media Group in London is seeking a data engineer to help build and maintain our config-driven data engineering platform (DMI). You will contribute to ELT pipelines, from Cloud Function ingestion into BigQuery to dbt-powered transformations, ensuring data integrity and scalable processing for 26+ ad platforms across global clients.
The role offers growth within a high-profile team; you will collaborate with analysts and BI teams, write tests, and help shape engineering best practices.
Data Engineering Lead: ELT Pipelines & BigQuery in London employer: OMD
OMD is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for professionals looking to make a significant impact in the media landscape. With a focus on employee growth and development, OMD offers numerous opportunities for advancement while working on exciting projects like Odeon and Crunchyroll in a vibrant European setting. The company values innovation and creativity, ensuring that every team member can contribute meaningfully to client success and their own career progression.
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We think this is how you could land Data Engineering Lead: ELT Pipelines & BigQuery in London
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We think you need these skills to ace Data Engineering Lead: ELT Pipelines & BigQuery in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
