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Senior Data Engineer

Hybrid in Mexico
Data Software Engineering, Consultancy
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We are seeking a highly skilled Senior Data Engineer to help design, build, and evolve the data platforms that power a specialized clinical trials management application. You will work autonomously and with cross-functional teams to deliver reliable, high-quality data pipelines—apply now to make an impact.

Responsibilities
  • Design scalable and reliable data pipelines for ingestion, transformation, and consumption
  • Build and operate ETL/ELT processes using modern data engineering approaches
  • Develop and optimize data transformations using Python, PySpark, and dbt
  • Design and administer Snowflake storage and processing solutions
  • Implement data modeling, data architecture, and information governance best practices
  • Ensure data quality, consistency, and traceability across the data lifecycle
  • Set up automation, testing, and deployments using CI/CD practices
  • Monitor integrations and data platforms, and resolve incidents to restore service quickly
  • Collaborate with development, product, analytics, and business teams to translate requirements into solutions
  • Identify and deliver improvements in performance, scalability, security, and maintainability
  • Document architectures, technical processes, and development standards
Requirements
  • 5+ years of data engineering experience building modern pipelines
  • Strong consultancy experience working with stakeholders and translating needs into technical solutions
  • Proven leadership ability to drive complex initiatives independently and guide technical direction
  • Hands-on project ownership skills across design, build, optimization, and support of data platforms
  • Advanced Python skills for data processing and automation
  • Advanced PySpark skills for distributed data processing
  • Strong Snowflake experience including modeling, optimization, and object administration
  • Practical dbt experience to implement and manage transformations
  • Solid CI/CD practices for data solutions, including testing and deployment automation
  • Strong Git version control skills in collaborative environments
  • Strong analytical skills with structured problem-solving approaches
  • Excellent communication skills across technical and functional teams
  • Advanced English proficiency (C1, Advanced) for daily collaboration
Nice to have
  • Cloud platform experience with AWS, Azure, or GCP
  • Orchestration tooling experience with Airflow or similar
  • Background in regulated environments such as healthcare, pharma, or clinical research
  • Data quality and pipeline observability knowledge
  • Agile/Scrum experience