This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Spontaneous Application - Data Engineer based in Mexico.
This is a spontaneous opportunity for an experienced Data Engineer interested in solving complex data challenges within a fast-growing technology environment.
You will design and maintain the infrastructure that enables large-scale data collection, transformation, storage, and analysis.
Your work will directly support business decision-making, machine learning initiatives, and the development of data-driven products.
You will collaborate closely with software engineers, ML engineers, data analysts, product teams, and other stakeholders to turn data requirements into reliable solutions.
The role offers exposure to diverse technical challenges, from building scalable pipelines to optimizing data quality and performance.
You will join an engineering-focused environment that values technical excellence, ownership, problem-solving, and meaningful customer impact.
As a spontaneous application, the opportunity may not be immediately prioritized, but strong profiles are reviewed regularly for current and future engineering needs.
Accountabilities
- Design, build, and maintain scalable data pipelines for collecting, storing, transforming, and processing data from multiple sources.
- Develop and maintain robust data models and schemas that support analytics, reporting, machine learning, and product development.
- Create, maintain, and optimize ETL processes that extract, transform, and load data into cloud-based data warehouses.
- Work closely with ML engineers, data analysts, software developers, product teams, and other stakeholders to understand data requirements and deliver appropriate technical solutions.
- Monitor data pipelines and processes to maintain high standards of data quality, reliability, availability, and performance.
- Identify bottlenecks and optimize data infrastructure and processing workflows as data volumes and product requirements grow.
- Contribute to the design of the broader data architecture, ensuring that pipeline components and cloud infrastructure work together effectively.
- Help establish reliable and accessible data foundations that enable data-driven business decisions and machine learning models.
- Participate in solving complex engineering challenges across data processing, infrastructure, and large-scale data systems.
- Contribute ideas and technical expertise to improve data capabilities and support ongoing product innovation.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical discipline.
- At least 3 years of professional experience as a Data Engineer or in a comparable data-focused engineering role.
- Strong programming skills in Python, Java, or a similar programming language.
- Solid knowledge of SQL and data modeling principles.
- Professional experience with cloud-based data warehousing technologies such as Amazon Redshift, Google BigQuery, or equivalent platforms.
- Experience with data processing and ETL technologies such as Spark, Flink, Databricks, Snowflake, or similar tools.
- Familiarity with messaging and event-streaming systems such as Kafka, RabbitMQ, or equivalent technologies.
- Good understanding of cloud infrastructure and how different components of a modern data pipeline interact.
- Strong analytical and problem-solving abilities, with the capacity to investigate complex technical issues and develop scalable solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
- Comfortable working in a fast-paced, evolving environment where ownership and initiative are highly valued.
- Ability to work from a location within approximately the GMT-3 to GMT+2 time zones.
Benefits
- Competitive salary.
- Health insurance.
- Stock options.
- Remote working environment.
- Opportunity to work within a highly technical and engineering-focused team.
- Exposure to challenging data, machine learning, infrastructure, and product engineering problems.
- Strong opportunities for professional growth and learning within a rapidly scaling technology company.
- Collaborative work environment with strong team spirit and a high degree of technical ownership.
- Annual company trip to a secret destination.
- Opportunity to contribute to innovative, data-driven products with meaningful customer impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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