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Junior Data Engineer

Instituto Federal do Espírito Santo (IFES)

Remote · Full Time

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Experience
Up to 3 yrs
Salary
Openings
1
Posted
3 jam yang lalu
Work mode
Work from home
Eligibility
Applicants must reside in Germany and have legal authorization to work full-time. Fluent English communication skills are required, along with the ability to work effectively in a fully remote environment. Candidates at entry-level or junior experience stages, including those with internships, are…
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Job description

About the Role

We are seeking an enthusiastic and detail-focused Junior Data Engineer to join our team remotely from Germany. This full-time position is designed for entry-level candidates passionate about data, eager to address technical challenges, and comfortable collaborating across diverse teams within a completely remote environment.

Key Responsibilities

  • Assist in constructing, maintaining, and refining data pipelines as well as ETL/ELT workflows.
  • Gather, transform, and integrate data from various internal and external sources.
  • Support the upkeep and enhancement of data warehouses and platforms.
  • Develop and optimize SQL queries for data extraction, transformation, and analytical tasks.
  • Continuously monitor data pipelines and resolve any data quality or processing problems.
  • Work closely with Data Analysts, Data Scientists, Software Engineers, and other collaborators.
  • Ensure data accuracy, consistency, availability, and dependability.
  • Document data workflows, processes, and technical implementations comprehensively.
  • Assist in establishing data quality checks and monitoring mechanisms.
  • Stay informed on contemporary data engineering tools, trends, and best practices.

Candidate Requirements

  • Open to entry-level and junior applicants.
  • Possess between zero to three or more years of experience in data engineering, software engineering, analytics, or closely related fields, including internships.
  • Basic proficiency with SQL and relational database systems.
  • Familiar with Python or another programming language.
  • Understand ETL/ELT principles and data pipeline creation.
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud considered advantageous.
  • Experience with data warehouses, databases, or visualization tools is a plus.
  • Strong analytical mindset with effective problem-solving and troubleshooting skills.
  • Meticulous attention to detail and eagerness to learn continuously.
  • Able to collaborate effectively with distributed, cross-functional teams.
  • Fluency in English is required.
  • Must be located in Germany with legal authorization for full-time work.
  • Capable of performing efficiently in a remote work setup.

What We Provide

  • Fully remote working arrangement.
  • Hands-on involvement with modern data engineering technologies and projects.
  • Clear pathways for career advancement towards Data Engineer, Analytics Engineer, or Data Platform Engineer positions.
  • A collaborative, supportive, and growth-focused remote workplace culture.
  • Frequent opportunities to engage with diverse technical and business teams.
  • Continuous learning and professional development support.
  • Competitive salary paired with a benefits package.

Work styles they’re looking for

Analytical Thinking Problem Solving Collaboration Attention to Detail Willingness to Learn

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