Data Engineer

AI overview

Join a dynamic international Tech Hub as a Data Engineer, leveraging Azure tools and building data architecture while mentoring junior engineers and ensuring data quality.

PowerTalent: Recruitment, Selection, and Global Outsourcing

PowerTalent stands out for its customized talent solutions. As specialists in recruitment and selection, we streamline complex processes and find the best professionals worldwide.

We offer recruitment, outsourcing, and hybrid solutions, building local, nearshore, or offshore teams according to our clients’ needs.

With PowerTalent, we guarantee complete and efficient solutions, so our clients don’t have to worry about a thing.

We are looking for a Data Engineer for a new international Tech Hub.

Requirements

  • Minimum 5+ years of experience in Data Engineering.
  • Solid experience in data architecture and data pipelines (e.g. Medallion architecture).
  • Strong background in cloud-native data engineering, preferably using Microsoft Azure (Fabric, Data Factory, Synapse), or equivalent tools in AWS or GCP.
  • Experience with Data Warehouses and Data Lakes (e.g. BigQuery, Azure Data Lake, Delta Lake, Redshift).
  • Proficiency in Python, SQL, and/or Spark.
  • Experience with relational and/or NoSQL databases.
  • Familiarity with DevOps/DataOps practices, including CI/CD pipelines.
  • Ability to ensure data quality, monitoring, documentation, and performance optimization.
  • English level B2 or higher.

Soft Skills

  • Ability to make sound technical decisions and explain them clearly to non-technical stakeholders.
  • Collaborative mindset, with experience mentoring junior or mid-level engineers.
  • Strong problem-solving skills and ownership mentality.

Benefits

  • Contract or B2B, its up to you
  • Hybrid Work
  • Continuing education and professional development

Perks & Benefits Extracted with AI

  • Education Stipend: Continuing education and professional development
  • Flexible Work Hours: Hybrid Work
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