Hybrid Data Analyst – Data Engineering

Posted last month

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About the role

  • Provide technical leadership and execute complex data projects from requirements gathering through implementation and deployment of solutions.
  • Design, build, and maintain robust and efficient data pipelines, ensuring ingestion, transformation, and loading of data from diverse sources.
  • Contribute to the design, documentation, and evolution of the data platform architecture, ensuring data quality, integrity, security, and governance.
  • Translate business needs into viable technical solutions aligned with the company’s data strategy and platform capabilities.
  • Collaborate with data scientists and analysts on the implementation of analytical and data intelligence solutions.
  • Serve as a technical mentor, sharing knowledge of data engineering best practices.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Physics, Mathematics, Statistics, or related fields.
  • Proficiency with Office 365 and development environments.
  • Familiarity with version control tools (Git).
  • Proven experience in data engineering, working in high-complexity and/or large-scale environments, including the use of Big Data technologies and modern data platforms.
  • Experience implementing and maintaining end-to-end data pipelines, from design through monitoring and optimization.
  • Postgraduate degree or specialization in data-related fields and analytics.
  • Knowledge of cloud computing platforms (AWS, Azure, GCP).
  • Advanced English.

Benefits

  • Flexible meal and food allowances (use as you wish; not deducted during your vacation).
  • Health insurance (for you and your dependents).
  • Dental insurance (for you and your dependents).
  • Two monthly sessions with a psychologist at no cost.
  • Two monthly consultations with a nutritionist (covered by Motz).
  • Discounts at various pharmacies nationwide.
  • Wellhub (health and wellness services).
  • Well-being moments (weekly workplace exercise sessions to help you stay active).
  • Life insurance.
  • Variable compensation based on role and performance against targets.
  • Discounts at partner universities (to help advance your career).
  • Partnership with language schools (to help you develop and improve a second language).
  • Partnership with an amusement park (enjoy a fun day with friends or family).
  • Travel at reduced rates with Motz’s partner travel agency.
  • Exclusive discounts on car rentals.

Job title

Data Analyst – Data Engineering

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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