At a Glance
- Tasks: Ensure reliable data processing for audience measurement systems and develop tools for service correctness.
- Company: Join a leading data analytics company in London with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive work environment.
- Other info: Great opportunity for career growth and learning in a collaborative atmosphere.
- Why this job: Make an impact in the data world while developing your skills in a dynamic team.
- Qualifications: Technical knowledge in IT, database skills, and familiarity with data processing required.
The predicted salary is between 40000 - 55000 £ per year.
We are looking for a Data Engineer/Data Quality Analyst to work on our audience measurement systems based in London. The role focuses on assessing and ensuring reliable data processing for new and early-stage services.
Location: London, United Kingdom. Hybrid working – minimum 2 days in office.
Responsibilities:
- Understand overall architecture and function of Kantar Audience Measurement systems.
- Develop functional knowledge of individual components.
- Review and assess data inputs and outputs against service requirements.
- Understand component and system configuration requirements.
- Contribute to developing tools and processes for checking and measuring service correctness.
- Analyze and identify problems, assist in understanding causes and fixes.
Qualifications & Skills:
- Degree of technical knowledge for navigating systems and assessments using IT tools.
- Familiarity with IT environments and data processing.
- Ability to identify, describe and communicate issues.
- Database and SQL knowledge.
- Structured approach to problem solving and analyzing information.
- Python or similar skills (basic/intermediate).
- Advantageous: experience with cloud-based systems (Azure), Linux shell scripting, command line and file-based systems.
- Experience with media research – TV, Internet or Radio audience measurement.
Equal Opportunity: Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing.
Data Engineer employer: GBR - Kantar Media Audiences Limited
Kantar is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee wellbeing and professional growth, we provide hybrid working options and opportunities to develop your skills in cutting-edge data processing technologies. Join us to be part of a team that values diversity and fosters a culture of continuous learning and support.
Contact Details:
GBR - Kantar Media Audiences Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects or any relevant work. 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 your technical knowledge. Be ready to discuss SQL, Python, and any cloud-based systems you've worked with. Practice common interview questions to boost your confidence!
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights the skills and experiences that match the Data Engineer role. We want to see how your background aligns with our audience measurement systems, so don’t be shy about showcasing relevant projects or tools you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our team. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Technical Skills:Since this role involves data processing and analysis, make sure to highlight your technical skills, especially in SQL, Python, and any cloud-based systems you’ve worked with. We’re keen to see how you can navigate and assess our systems!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at GBR - Kantar Media Audiences Limited
✨Know Your Data Inside Out
Make sure you understand the architecture and function of audience measurement systems. Brush up on your knowledge of data processing and how different components interact. This will help you answer questions confidently and show that you're genuinely interested in the role.
✨Show Off Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified and solved data-related issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your structured approach to problem-solving, which is crucial for a Data Engineer.
✨Get Comfortable with SQL and Python
Since database and SQL knowledge is key, practice writing queries and manipulating data. If you have experience with Python, be ready to talk about it or even showcase a small project. This will highlight your technical skills and readiness for the job.
✨Familiarise Yourself with Cloud Systems
If you have any experience with cloud-based systems like Azure, make sure to mention it. Even if it's basic, showing familiarity with these technologies can set you apart from other candidates. Do some research on how they relate to audience measurement to impress your interviewers.
