Senior Manager Of Data Engineering

Kueski; Xico; Presencial; MXN 120,000 - 160,000; Jornada completa

Descripción de la vacante

A leading financial technology company in Xico, Mexico is looking for a Senior Manager of Data Engineering to improve its data systems. The ideal candidate will have over 15 years of experience, including 3+ years in leadership, and deep expertise in cloud platforms and distributed systems. You will manage a team, drive architectural decisions, and ensure high-performance data infrastructure that supports critical business functions. Proficiency in both English and Spanish is required, along with strong programming skills.

Formación

• 15+ years of experience in data engineering or backend engineering roles.
• At least 3+ years in a technical leadership or people management capacity.
• Deep expertise in distributed systems and real-time/batch processing.

Responsabilidades

• Design, develop, and operate scalable, secure data systems.
• Drive architectural decisions and solve complex engineering challenges.
• Lead a team of data engineers and foster a collaborative culture.

Conocimientos

Distributed systems

Data architectures

Cloud platforms (AWS)

Programming (Python, Java, Scala)

Data modeling

Mentoring engineers

Fluency in English and Spanish

Educación

Bachelor's degree in Computer Science, Engineering or related field

Herramientas

AWS

Spark

Kafka

Airflow

EMR

S3

Redshift

Descripción del empleo

About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since

we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions.

• We were named one of the World's Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI.
• Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX.
• We were ranked among the Best Companies for Female Talent by EFY.

Position

Kueski is seeking a Senior Manager of Data Engineering to lead the design, development, and operation of scalable, secure, and high-performance data systems. This role is ideal for a hands-on engineering leader with deep expertise in distributed systems, modern data architectures, and cloud-based platforms; someone who can guide architectural decisions, solve complex engineering challenges, and enable data-driven impact at scale.

As a key leader in the data organization, you will drive the technical direction of your team, ensuring the delivery of robust, production-grade infrastructure that powers mission-critical systems such as credit decisioning, fraud detection, and real-time analytics. You will also play a critical role in people leadership: managing senior contributors, coaching career growth, and fostering a culture of excellence, inclusion, and ownership.

Key Responsibilities

Data Strategy & Infrastructure

• Own the architecture, performance, and reliability of large-scale batch and real-time data processing systems.
• Translate complex business requirements into effective, scalable data solutions through close collaboration with cross-functional partners.
• Scale operational processes, tools, and systems to support team growth and evolving business needs.

Engineering Excellence & Operations

• Drive technical excellence by guiding architecture decisions, promoting best practices, and contributing to system design and code reviews.
• Identify and resolve inefficiencies in engineering workflows, technical processes, and system performance.
• Establish processes, tools, and governance frameworks to ensure data quality, security, and reliability.

Analytics Enablement & Insights

• Collaborate cross-functionally with product, software engineering, infrastructure, and data science teams to deliver business value through high-quality data systems.

Team Leadership & Cross-Functional Collaboration

• Build and mentor a team of data engineers, fostering a high-performance, customer-centric culture.
• Implement best practices for agile development, technical excellence, and continuous learning.
• Foster a high-performing, inclusive, and collaborative team culture aligned with Kueski's values.

Job Requirements

• 15+ years of experience in data engineering or backend engineering roles, with at least 3+ years in a technical leadership or people management capacity.
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• Deep expertise in distributed systems, data architectures, and real-time / batch processing.
• Deep experience with cloud platforms (preferably AWS) and big data tools like Spark, Kafka, Airflow, EMR, S3, and Redshift.
• Strong programming skills (e.g., Python, Java, or Scala).
• Solid understanding of data modeling, data quality, and secure data practices.
• Proven track record of driving large-scale technical projects from design through execution.
• Experience mentoring other engineers and fostering technical excellence within a team.
• Excellent communication skills, with the ability to present ideas and technical concepts to a wide range of audiences.
• Fluent in English and Spanish (spoken and written); able to represent the team in technical forums and leadership discussions.
• English: professional proficiency.
• Spanish: professional proficiency.

Diversity & Inclusion

At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.