Lead Data Engineer (LATAM)

Location: LATAM; remote work or work from one of the company's offices

Company

Software engineering company.

What you will do

• Lead and mentor a team of data engineers delivering pipelines and platform components across AWS and Azure.
• Own technical design and implementation decisions for data pipeline architecture.
• Establish engineering practices covering code quality, testing, CI/CD, and documentation.
• Plan and prioritize the team roadmap with the Data Architect and business stakeholders.
• Troubleshoot complex data pipeline and platform issues and drive adoption of orchestration, monitoring, and data-quality tooling.
• Keep delivered pipelines aligned with platform architecture and delivery priorities.

Requirements

• 7+ years of data engineering experience, including 2+ years in a technical leadership role.
• Hands-on expertise with both AWS, including Glue, EMR, Redshift, Lambda, and Kinesis, and Azure, including Data Factory, Synapse, and Databricks.
• Strong background in pipeline architecture, orchestration with Airflow or ADF, and CI/CD for data.
• Experience mentoring engineers and setting technical best practices across a team.
• Solid SQL and Python or Scala skills, with experience in distributed data processing using Spark.
• Experience with data quality, testing, and monitoring frameworks.
• Strong communication and planning skills, with the ability to work directly with stakeholders.

Nice to have

• Experience with dbt or similar transformation frameworks.
• Familiarity with infrastructure-as-code using Terraform, CloudFormation, or Bicep.
• Prior experience in a consulting or client-facing delivery environment.

Culture & Benefits

• 20 business days of covered vacation and 5 additional days off.
• Free English classes.
• Flexible working schedule.
• Remote work or work from one of the company's offices.
• Medical insurance for employees from Ukraine.
• Legal support and a friendly, supportive atmosphere.