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Junior Data Engineer

  • Company: Get A Job.ai
  • Location: Berlin, Germany
  • Salary: Pay not listed

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential mobility technology company seeking a Junior Data Engineer to join their team in Berlin, Germany. Our client operates at scale across global markets, building data products that power critical business decisions including demand forecasting, dynamic pricing, and network planning.

This is an excellent opportunity for someone early in their data engineering career who wants hands-on ownership and mentorship from senior engineers in a collaborative environment. You'll work with data products used across commercial functions and data science teams worldwide.

Responsibilities

  • Build and maintain data pipelines that power market intelligence and business analytics
  • Work with data products including market, sociodemographic, and planning data used across the organization
  • Collaborate with commercial teams and data scientists to support forecasting and pricing systems
  • Contribute to data infrastructure improvements and engineering best practices
  • Learn and apply modern data engineering techniques in a production environment
  • Support data quality and reliability across systems

What We're Looking For

  • Programming experience with Python, Java, or Scala from work, internships, university, bootcamps, or personal projects
  • Working knowledge of SQL including tables, queries, and data manipulation
  • Curiosity about how data moves through systems and how pipelines are built
  • Problem-solving mindset and willingness to learn unfamiliar technologies
  • Strong communication skills and ability to work with technical and non-technical stakeholders
  • Openness to learning different programming languages and exploring areas beyond data engineering
  • Interest in using AI tools and becoming AI-fluent
  • Nice to have: experience with data pipelines, data modeling, BI tools, cloud platforms (AWS, Snowflake), automated testing, CI/CD, or software engineering practices

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly — all communication and interview coordination will flow through our talent team to ensure the best experience for you.

Pay

Compensation details will be discussed during the screening process based on your experience level and the client's current salary bands for this role in Berlin.

Equal Opportunity: Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and experiences.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

More options

Apply with Get A Job.ai

Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.

Apply through Get A Job.ai. A recruiter will review your profile and submit you.

Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).

Listing facts

  • Role Junior Data Engineer
  • Employer Get A Job.ai
  • Location Berlin, Germany
  • Type Full Time
  • Pay (from listing) Pay not listed
  • Posted September 18, 2026
  • Apply by October 18, 2026
  • Country Germany
  • Overview Full job description on this page (372 words)

Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

Typical work in Data Engineer

Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

  • Develop and document database architectures.
  • Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
  • Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
  • Develop data models for applications, metadata tables, views or related database structures.
  • Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.

Source: O*NET

Limited public data for this employer

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Occupation family: Data Engineer

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Junior Data Engineer Get A Job.ai · Berlin, Germany