(1556) Lead Data and Insight Engineer

Join Nortal for your next big adventure. We are seeking Lead Data and Insight Engineer to join our team, grow with us, and teach us a few things along the way. 

Why join Nortal 

• Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values. 

• Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being. 

• Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities. 

• Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth. 

Our benefits ✨ 

• Competitive USD salary. 

• 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. 

• Paid time off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. 

• Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. 

• Annual credit: Spend it on the perks you love to enhance your work-life balance. 

• Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. 

• Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family. 

About the project 

We are growing our data team and looking for a Data & Insights Engineer Lead. If you enjoy leading data engineers and shaping the technical strategy behind data platforms that people depend on, this one is for you. 

This is a senior, client-facing role that puts deep data engineering expertise next to team leadership. You will lead a team of data engineers, define the platform standards they build to, and act as the main technical reference for both delivery teams and client stakeholders across one or more programs. 

You will work as part of a global delivery team, where quality is a shared responsibility at every stage of the data engineering lifecycle: pipeline design, data modeling, deployment, monitoring, and the continuous improvement that follows. 

What you’ll do 

• Lead the design and implementation of scalable pipeline architectures for collecting, processing, transforming, and delivering data at enterprise scale. 

• Define engineering standards, data modeling patterns, and platform best practices across the team. 

• Own the technical strategy for cloud data infrastructure across AEP, GCP, and AWS, keeping it reliable, scalable, and affordable to run. 

• Govern data quality, integrity, security, and compliance across every data product and pipeline. 

• Evaluate and recommend the tooling that fits each client's stack, from Airflow and Snowflake to dbt. 

• Mentor and upskill senior and mid-level engineers through technical reviews and knowledge-sharing sessions. 

• Own the end-to-end delivery of data engineering programs, on time and aligned with what the business actually needs. 

• Partner with data scientists, analysts, and platform engineers to build data ecosystems that power analytics and AI workloads. 

• Improve how the team works, how reliably its pipelines run, and what it holds itself to. 

• Act as the primary data engineering contact for client stakeholders, explaining strategies, trade-offs, and recommendations clearly. 

• Turn complex data infrastructure topics into decisions a non-technical audience can act on. 

• Spot data engineering opportunities inside client engagements and propose new approaches to hard platform problems. 

• Contribute to pre-sales work, including technical scoping, effort estimation, and capability presentations. 

What makes you a great fit 

• Seven or more years in data engineering, with at least three in a senior or lead role. 

• Deep proficiency in Python for data manipulation, pipeline development, scripting, and automation. 

• Strong hands-on experience with AEP, GCP, and/or AWS. 

• Solid expertise in Airflow for orchestration and complex pipeline management. 

• Deep experience with Snowflake, including warehousing, performance tuning, and analytical workloads. 

• Practical experience applying AI concepts in data engineering and analytics contexts. 

• A track record of leading data engineering teams and owning delivery in client-facing environments. 

• Strong SQL, plus a deep understanding of data modeling, governance, and security. 

• Excellent communication and stakeholder management skills. 
• Business-level English. 

Global Impact, Local Culture 🌍 

For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.  

We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives. 

Apply now and let’s shape the future of technology together! 🧑‍💻