Mô tả công việc
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.
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.