At a Glance
- Tasks: Develop and operate data-driven solutions in the AdTech space.
- Company: Join GroupM, a leader in innovative advertising technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Work in a dynamic environment in Greater London with excellent career prospects.
- Why this job: Make an impact in the fast-paced world of data and advertising.
- Qualifications: Proven experience in Python, SQL, and AdTech technologies.
The predicted salary is between 60000 - 80000 € per year.
GroupM is seeking an experienced professional focused on developing and operating data-oriented solutions. Candidates should possess proven experience in AdTech technology, with strong expertise in Python and proficiency in SQL. Familiarity with tools and technologies including Airflow, Kafka, Snowflake, BigQuery, and various data platforms such as Spark, AWS Athena, Postgres, and Redis is highly desired. This position is based in Greater London, United Kingdom.
Senior Python Data Engineer — AdTech & Data Platforms in London employer: GroupM
At GroupM, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Greater London location offers employees access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development in the dynamic AdTech sector. Join us to be part of a forward-thinking team that values creativity and encourages meaningful contributions to data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Data Engineer — AdTech & Data Platforms in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AdTech space, especially those who work with data platforms. 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 Python projects and any data solutions you've developed. This is your chance to demonstrate your expertise in SQL and other tools like Airflow and Kafka.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Be ready to discuss your experience with Snowflake, BigQuery, and other platforms. We want you to shine when it comes to technical discussions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Python Data Engineer — AdTech & Data Platforms in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as well as any AdTech projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Relevant Tools:If you've used tools like Airflow, Kafka, or Snowflake, make sure to mention them! We love seeing candidates who are familiar with the tech stack we use at StudySmarter.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how your experience makes you a great fit for our team. We want to feel your enthusiasm!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at GroupM
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Airflow, Kafka, and Snowflake. Brush up on your Python and SQL skills, as you’ll likely be asked to demonstrate your expertise during the interview.
✨Showcase Your AdTech Experience
Prepare examples from your past work that highlight your experience in AdTech. Be ready to discuss specific projects where you developed or operated data-oriented solutions, as this will show your relevance to the role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data platforms and how they leverage technology in their operations. This shows your genuine interest and helps you assess if it’s the right fit for you.
✨Practice Problem-Solving
Expect technical questions or case studies that require you to solve problems on the spot. Practise coding challenges and data engineering scenarios beforehand to boost your confidence and showcase your analytical skills.
