Senior Data Engineer

Zartis

Senior Data Engineer at Zartis working on a modern data platform for the logistics industry. Collaborating with a distributed team to solve complex data challenges in LATAM.

Posted 7/13/2026full-time💃 Anywhere in Latin AmericaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable data pipelines and ETL/ELT workflows, with a strong focus on data quality, governance, and architecture best practices. Proficient in enabling self-service analytics and preparing data for advanced analytics and machine learning use cases.

Highest-signal resume keywords

Data EngineeringETL/ELT SolutionsSQL SkillsCloud-Based Data PlatformsData Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DesignETL/ELT DevelopmentData Warehouse ArchitectureData Quality ManagementData GovernanceData ModelingAnalytics-Ready DatasetsMachine Learning PreparationData Architecture Best PracticesData Collection Improvement

Soft Skills

Excellent CommunicationCollaborative Problem SolvingAnalytical Mindset

Tools & Technologies

DatabricksBusiness Intelligence ToolsCloud Technologies

Industry Keywords

Data GovernanceData QualityData Engineering Best PracticesScalable ArchitectureSelf-Service Analytics

Tech Stack

Tools & technologies

CloudETLSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines to ingest, transform, and process operational data.
Develop modern ETL/ELT workflows that deliver reliable, high-quality datasets.
Help design a scalable data warehouse/lakehouse architecture using modern cloud technologies.
Work closely with business stakeholders to understand reporting and analytics requirements.
Improve data quality, consistency, governance, and documentation across the platform.
Identify gaps in existing data collection and recommend improvements to tracking and data models.
Enable self-service analytics by delivering clean, well-structured datasets for downstream BI tools.
Prepare data models that support advanced analytics, machine learning, and customer-facing insights.
Contribute to establishing data engineering best practices, standards, and scalable architecture.

Requirements

What you’ll need

Strong commercial experience in Data Engineering.
Proven experience designing and building modern data pipelines and ETL/ELT solutions.
Experience working with data warehouses or modern lakehouse architectures.
Strong SQL skills and experience modeling large datasets.
Experience with cloud-based data platforms, ideally Databricks.
Experience building or evolving data platforms from the ground up.
Strong understanding of data modeling, data quality, governance, and data architecture best practices.
Ability to work directly with business stakeholders to translate business problems into scalable data solutions.
Experience enabling Business Intelligence through clean, well-structured, analytics-ready datasets.
Experience preparing data for advanced analytics and machine learning use cases.
Strong analytical mindset with the ability to identify opportunities through data and recommend improvements to data collection.
Excellent communication skills, with a proactive and collaborative approach to problem solving.

Benefits

Comp & perks

100%Remote Work
WFH allowance: Monthly payment as financial support for remote working.
Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.
Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.
Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.
Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.
Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.