Blend360

Lead Data Engineer

Blend360

full-time

Posted on:

Location Type: Remote

Location: Bogotá • Colombia

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Job Level

Senior

Tech Stack

AirflowAzureCloudERPETLPythonSQL

About the role

  • Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL on modern lakehouse architectures.
  • Develop data solutions using tools such as Azure Data Factory, Synapse, Fabric, Airflow, or dbt.
  • Build and maintain data models and pipelines that support forecasting and customer retention/churn use cases, including feature engineering and reproducibility.
  • Integrate data from multiple transactional systems (ERP, CRM, etc.), ensuring proper standardization, entity resolution, and consistency across datasets.
  • Implement data quality frameworks, validation processes, and monitoring to ensure reliability and accuracy of data pipelines.
  • Design dimensional and semantic data models to support BI and analytics consumption, enabling drill-down capabilities from executive dashboards to detailed views.
  • Collaborate with analytics and business teams to support reporting, forecasting, and AI-driven initiatives.
  • Ensure data solutions are scalable, performant, and aligned with best practices in data architecture.

Requirements

  • At least 5+ years of experience in data engineering or similar roles.
  • Strong experience in Data Engineering with hands-on expertise in SQL and Python.
  • Proven experience building ETL/ELT pipelines in cloud environments (Azure preferred).
  • Experience working with lakehouse architectures (e.g., Parquet on Azure Data Lake, Synapse, or similar).
  • Hands-on experience with tools such as Azure Data Factory, Synapse, Fabric, Airflow, or dbt.
  • Experience designing data models and pipelines for forecasting and customer retention/churn use cases.
  • Strong experience integrating data from multiple systems (ERP, CRM) and handling data standardization and entity resolution.
  • Solid understanding of data quality, validation frameworks, and monitoring practices.
  • Experience designing data models for BI tools such as Power BI or similar.
  • Ability to work independently and collaborate with cross-functional teams in a fast-paced environment.
  • Advanced English level (written and spoken) is required for collaboration with cross-functional and client-facing teams.
Benefits
  • Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
  • Mentoring and Development: Career development plans and mentorship programs to help shape your path.
  • Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment.
  • Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM.
Applicant Tracking System Keywords

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

Hard Skills & Tools
PythonSQLETLELTdata modelingfeature engineeringdata qualitydata validationdata monitoringdata architecture
Soft Skills
collaborationindependencecommunicationproblem-solvingadaptabilityorganizational skillsattention to detailanalytical thinkingteamworkfast-paced environment