Lead Data Engineer

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 the LATAM region, but as a global team, we are also open to US, Canada, UK and France. Candidate must have the ability to work in Eastern and Pacific time zones. Note: Applications will close at 9am ET on Monday, 10th June 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 (. Atlassian suite) and version control systems (. 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.