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- Tasks: Design and develop scalable cloud-based data pipelines using Python and SQL.
- Company: Ipsos is a global leader in market research and data analytics.
- Benefits: Enjoy 25 days annual leave, flexible working options, and professional development opportunities.
- Other info: Hybrid work model with 3 days in the office; commitment to equality and diversity.
- Why this job: Join a diverse team driving innovation in data management with a focus on inclusivity.
- Qualifications: Bachelor’s degree in Computer Science or related field; strong Python and database skills required.
The predicted salary is between 36000 - 60000 £ per year.
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Implementation Engineer-Global Data Management Tower
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Client:
Ipsos
Location:
United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
3ca7603ce65f
Job Views:
5
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
Join our Global Data Management Tower (GDMT), the core of Ipsos\’ global data strategy. We are seeking a skilled Implementation Engineer to expand and enhance our data pipeline and architecture. In this vital role, you will design, develop, and deploy high-performance, scalable, cloud-based data pipelines. A key responsibility will be to deploy and maintain our internally developed Python data processing library, ensuring it meets the highest standards. You will ingest and assemble data from diverse sources using SQL and Python, provide crucial training and support to our data processing teams, and continuously improve our infrastructure. Collaborating with software engineers, data scientists, and other stakeholders, you will drive the standardization of tools and lead the migration of code into production, ensuring our data assets are leveraged to maintain Ipsos’ competitive advantage.
About you:
Essential skills:
- Bachelor’s degree in Computer Science, Engineering, or a related field or experience
- Strong proficiency in Python and its libraries, including Pandas.
- Solid understanding of software architecture and design patterns.
- Experience with relational databases such as PostgreSQL or MySQL.
- Proven experience with cloud platforms like AWS, Azure, or Google Cloud Platform (specifically BigQuery).
- Excellent problem-solving, troubleshooting, and debugging skills.
- Proficiency in AI use and adoption to enhance data processes.
Behaviours:
- Analytical thinking
- Resilience, flexibility and agility
- Creative thinking
- Motivation and self-awareness
- Empathy and active listening
- Curiosity and lifelong learning
- Service orientation and customer service
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health & wellbeing, financial benefits and professional development opportunities.
We realise you may have commitments outside of work and will consider flexible working applications – please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success – a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process. Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.
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Implementation Engineer-Global Data Management Tower employer: Ipsos
Contact Detail:
Ipsos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Implementation Engineer-Global Data Management Tower
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as AWS, Azure, or Google Cloud Platform. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like Pandas. Consider working on a small project that involves data processing to demonstrate your proficiency and problem-solving abilities.
✨Tip Number 3
Network with current or former employees of Ipsos or similar companies. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations for the role.
✨Tip Number 4
Prepare to discuss your experience with relational databases and how you've used them in past projects. Be ready to share specific examples of how you've optimised data pipelines or improved data processes.
We think you need these skills to ace Implementation Engineer-Global Data Management Tower
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms like AWS or Azure. Emphasise any relevant projects or roles that demonstrate your skills in data management and architecture.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data management and how your background aligns with the role. Mention specific experiences where you've successfully implemented data pipelines or collaborated with teams to enhance data processes.
Showcase Problem-Solving Skills: Provide examples in your application that illustrate your analytical thinking and problem-solving abilities. Discuss challenges you've faced in previous roles and how you overcame them, particularly in relation to data processing or software development.
Highlight Continuous Learning: Demonstrate your commitment to lifelong learning by mentioning any recent courses, certifications, or workshops related to data management, AI, or cloud technologies. This shows your motivation and adaptability in a rapidly evolving field.
How to prepare for a job interview at Ipsos
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and its libraries, especially Pandas. You might be asked to solve a coding problem or explain how you've used these skills in past projects, so brush up on relevant examples.
✨Understand the Company’s Data Strategy
Research Ipsos and their Global Data Management Tower. Familiarise yourself with their data pipeline architecture and cloud platforms they use, like AWS or Google Cloud. This will help you demonstrate your genuine interest in the role.
✨Prepare for Behavioural Questions
Expect questions that assess your analytical thinking, resilience, and creativity. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting how you've tackled challenges in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and how they measure success in the role. This shows your curiosity and eagerness to contribute to the company’s goals.