Hybrid Data Engineer

Posted last month

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About the role

  • Self-driven Data Engineer at PwC Greece transforming data into actionable intelligence. Collaborating with a supportive team to solve important problems for clients and internal teams.

Responsibilities

  • We look for those who see data not just as numbers or tables, but as the invisible backbone of strategy, performance, and growth.
  • Make a real impact, today, and tomorrow, through work that matters.
  • Help turn business needs into practical data solutions.
  • Assist in turning written business requirements into clear technical documents.
  • Support the analysis of source data, including understanding how information is related and identifying patterns or trends.
  • Contribute to discussions about solution design and help select suitable components under guidance.
  • Help design and build ETL/ELT jobs by using available tools and components.
  • Assist with creating and improving data models.
  • Help build and run ETL/ELT pipelines.
  • Document your work and share knowledge and best practices with your team and clients.

Requirements

  • Bachelor degree in Computer Science, Information Systems Engineering and any other relevant field
  • 1-2 years proven experience in this field is a must
  • Experience in advanced SQL and Python language syntax
  • Knowledge of complex data flows through dedicated Integration tools like Azure Data Factory, Databricks or SSIS is required
  • Experience in cloud technologies (Microsoft Azure or AWS) is preferred
  • Experience in IBM Data tools such as Netezza, DB Stage will be considered a plus
  • Experience in IBM Cloud Pak for Data will be considered a plus
  • Experience in working with large data sets will be considered a plus
  • Familiarity with logical and conceptual data models
  • Familiarity with Banking or Energy Sector will be considered a plus
  • DP-600 or DP-700 certificate Microsoft Fabric or equivalent for Databricks Azure Solution Architect (or equivalent) will be considered a plus

Benefits

  • Your work life-balance supported by a hybrid working model
  • Your creativity sparked in collaborative office spaces
  • Your career growing through local and global opportunities
  • Your development advanced with continuous learning and professional certifications
  • Your well-being cared for with extra leave days and wellness initiatives
  • Your perspective valued in an inclusive team where your impact matters

Job title

Data Engineer

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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