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Data Engineer Position in Berlin - Scavenger AI


Job description

Location: Berlin, Vienna, Cologne, Aachen, Frankfurt, Nuremberg (hybrid possible)


Employment: Full-time or part-time, starting immediately


Scavenger AI makes data analysis as easy as chatting.

We enable decision-makers in industrial companies to get data-driven recommendations in real time using natural language.


As a Data Engineer / Data Scientist, you’ll be responsible for ensuring that our AI understands business-related data just as well as a human would.


Tasks



  • You build and maintain ETL workflows using tools like Airflow.


  • You develop and improve data-cleaning algorithms in Python.


  • You integrate structured data sources (e.g. ERP, CRM, product databases) into our platform.


  • You collaborate closely with AI and frontend teams to quickly implement new use cases.


Requirements



  • At least 2 years of experience building ETL pipelines, strong Python skills

  • Solid understanding of Business Intelligence, gained through work experience or academic projects

  • Motivation to take ownership and help shape structures

  • Experience in data modeling and ideally with cloud or DevOps tools (e.g. AWS, Docker, CI/CD)

  • Excellent English skills (German is a plus)

  • Strong communication, openness in teamwork, and constructive feedback mindset


Benefits



  • Work in an ambitious AI tech startup with real-world impact

  • A high degree of creative freedom and influence on our data architecture

  • Flexibility due to part-time models (e.g. 60–80%) possible

  • Direct collaboration with an interdisciplinary team on equal footing

  • Hybrid work from different locations such as Merantix AI Campus in Berlin


We look forward to your application!



Scavenger AI is a no-code analytics platform that enables business teams to interact with complex company data using natural language.

Instead of relying on analysts or rigid dashboards, users can ask plain English questions and instantly receive visual, actionable answers.

Scavenger integrates seamlessly with internal databases, leveraging LLMs to structure, interpret, and analyze data across departments—from sales to operations.

Built for fast onboarding and data privacy compliance, it empowers teams to make smarter, faster decisions based on real-time insights.

Scavenger turns data chaos into clarity—without the wait, without the bottlenecks.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Berlin, Germany, highlighting market share and opportunities for professionals in Data Engineer roles.

20981 Jobs in Germany
20981
2365 Jobs in Berlin
2365
Download Data Engineer Jobs Trends in Berlin and Germany

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Scavenger AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer?

Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer?

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Interview Tips for Data Engineer Job Success

Scavenger AI interview tips for Data Engineer

Here are some tips to help you prepare for and ace your Data Engineer job interview:

Before the Interview:

Research: Learn about the Scavenger AI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer interview at Scavenger AI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Scavenger AI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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