About the Team:

Ipsos Global Data Management Tower serves as the backbone of Ipsos' efforts to harness and integrate the power of data, globally. GDMT is tasked with the critical role of ensuring that data, one of the most valuable assets in the modern digital economy, is accurately collected, stores, processed, and analyzed to support decision-making processes, drive innovation, and maintain Ipsos' competitive advantage on a global scale.

What we are looking for:

We're looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and optimize our existing data pipeline and architecture. The ideal candidate will have experience using cloud-based platforms, like AWS and Google Cloud Services, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also requires conscientious attention to detail, an ability to work well on a small team, and a self-starter approach to problem solving and debugging.

We are seeking candidates preferably based in Mexico, but as a global team, we are also open to US, Canada, LATAM, UK or France. Candidate must have the ability to work in Eastern and Pacific time zones. Note: Applications will close at 9am ET on Monday, 20th May but may close earlier if a high volume of applications is received. If interested, please do apply as soon as possible!

As a Lead Data Engineer, you will:

• Lead an engineering team to design, code, and test cloud-based data pipelines to process and store large-scale datasets.
• Develop and maintain data warehouses to efficiently store large, complex datasets in a cost-optimal manner.
• Ingest and assemble data from various disparate sources using a variety of tools, including SQL and Python.
• Work with internal/external stakeholders to identify and understand needs and project goals.
• Lead the migration of development code into production, providing technical assistance and guidance to refine and optimize processes.
• Troubleshoot and improve existing infrastructure and codebases.

This might be the job for you if you have:

• 5+ years of professional experience as a data engineer
• Bachelor's degree (or equivalent) in statistics, computer science, or related field
• Strong technical communication skills
• Proficiency in Python & advanced working knowledge of SQL.
• Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
• Experience with cloud services such as AWS/Google
• Comfortable working in a highly collaborative, consensus-oriented environment.
• Prior success designing and deploying data pipelines in large-scale production environments.
• Strong eye for detail, ability to communicate scientific concepts both in written form and verbally, and excellent time-management skills.
• Large dataset manipulation. Experience in distributed storage and computing.
• Experience with Linux server and system administration.
• Ability to speak and communicate fluently in English
• Ability to work in EST/PST time zones

If you don't meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you're applying to!

What's in it for you:

At Ipsos you'll experience opportunities for Career Development, an exceptional benefits package (including generous annual leave/paid time off, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.

To find out more about all the great reasons to work at Ipsos, how we're making an impact around the world, and more about our benefits and employee programs, please visit:

Commitment to Diversity

Ipsos recognizes the necessity of building an inclusive culture that values each employee's individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos' diverse employees who compile and analyze this data-they are the essence of who we are and what we do.

We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.

Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

In accordance with NY/CO/CA/WA law in the US, the estimated base salary range for this role is $90,000 to 130,000 USD in the US. Please note that we are a global team and would welcome candidates based in Canada, UK, France and LATAM, where a different local salary range may apply. The final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.