We are seeking an experienced
Lead Data Engineer
to design, build, and optimize scalable data pipelines, infrastructure, and architectures. This role will lead a team of data engineers, providing technical guidance and ensuring best practices in data management, governance, and performance. The idóneo candidate has a strong background in big data technologies, cloud platforms, and modern data engineering practices, with the ability to collaborate cross-functionally to deliver high-quality data solutions.
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Location:
Providencia, Guadalajara, Mexico
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Language:
Bilingual (English & Spanish)
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Work Authorization:
Must be legally authorized to work and currently residing in Mexico.
Key Responsibilities
Lead the design, development, and maintenance of data pipelines and ETL processes.
Oversee data modeling, integration, and transformation to ensure availability and reliability of data across systems.
Manage and mentor a team of data engineers, fostering growth and technical excellence.
Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions.
Ensure data governance, quality, security, and compliance with industry standards.
Evaluate and implement new tools, frameworks, and best practices in data engineering.
Monitor and optimize system performance, scalability, and cost efficiency.
Drive adoption of cloud-based data platforms (AWS, Azure, GCP) and modern data stack technologies.
•Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
•7+ years of experience in data engineering, with at least 2+ years in a leadership role.
•Strong expertise in SQL, data modeling, and distributed data processing.
•Hands-on experience with big data technologies (Spark, Hadoop, Kafka, etc.).
•Proficiency in Python, Scala, or Java for data engineering tasks.




•Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse, or similar).
•Knowledge of workflow orchestration tools (Airflow, Prefect, Dagster) and data pipeline automation.
•Familiarity with containerization and CI/CD (Docker, Kubernetes, Git).
•Advanced English level (both written and spoken).
•Excellent communication and leadership skills with proven ability to lead teams.
Preferred Skills:
•Experience with data lakehouse architectures (Databricks, Snowflake).
•Understanding of machine learning pipelines and MLOps practices.
•Prior experience in highly regulated industries (finance, healthcare, etc.) is a plus.
Why Join MezTal?
At
Meztal
, we prioritize innovation, collaboration, and personal growth. You'll have the opportunity to work on meaningful projects, be part of a supportive team, and enjoy a culture that values work-life balance and professional development.
Christmas Bonus
: 30 days, to be paid in December.
Major Medical Expense Insurance
: Coverage up to $20,000,****** MXN.
Minor Medical Insurance
: VRIM membership with special discounts on doctor's appointments and accident reimbursements.
Dental Insurance
: Always smile with confidence!
Life Insurance
: (Death and MXN Disability)
Vacation Days
: 12 vacation days in accordance with Federal Labor Law, with prior approval from your manager. +
Floating Holidays
: 3 floating holidays in addition to the 7 official holidays in Mexico.
Cell Phone Reimbursement & Transportation Subsidy.
Hybrid Scheme
: Enjoy the best of both worlds, remote and in-office work.
Multicultural Exposure
: Work with operations within Mexico and the United States.
MezTal Internal Events
: Strike a healthy balance between your professional and personal goals.
Exclusive Discounts
: Benefits with different companies for being part of MezTal.
Academic Agreements
: Access to national universities and language schools.

📌 Lead Data Engineer (Guadalajara, Mx)
🏢 FlexTal Staffing
📍 Guadalajara