At a Glance
- Tasks: Develop and operate data solutions in the exciting AdTech space.
- Company: Join GroupM, a leader in data-driven marketing solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Based in vibrant Greater London with a dynamic team.
- Why this job: Make an impact in the fast-paced world of AdTech with cutting-edge tools.
- Qualifications: Proven experience in Python, SQL, and familiarity with data platforms.
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 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
✨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 challenges. Be ready to discuss how you've tackled problems using technologies like Snowflake and BigQuery. We want to see your thought process!
✨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
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, mention them! We love seeing candidates who are familiar with the tech stack we use, so don’t hold back on your experience.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team at StudySmarter. Keep it engaging and relevant!
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!
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.
