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Data Engineer Job Opening In Berlin – Now Hiring Snaphunt


Job description

The Offer

  • Work within a company with a solid track record of success
  • Flexible working options
  • Join a well known brand within FinTech

The Job

About the Data Solution Team As a Data Engineer, you will join our Data Solution Team, which drives our data-driven innovation.

The team is pivotal to powering our business processes and enhancing customer experiences through effective data utilization.

Our focus areas include:

  • Developing integrations between systems.
  • Analyzing customer data to derive actionable insights.
  • Improving customer experience by leveraging statistical and machine learning models.

    Our tech stack includes:
  • Cloud & Infrastructure: AWS (S3, EKS, Quicksight, and monitoring tools).
  • Data Engineering & Analytics: Apache Spark (Scala and PySpark on Databricks), Apache Kafka (Confluence Cloud).
  • Infrastructure as Code: Terraform.
  • Development & Collaboration: BitBucket, Jira.
  • Integration Tools & APIs: Segment.io, Blueshift, Zendesk, Google Maps API, and other external systems

As A Data Engineer, You Will

  • Design, build, and own near-time and batch data processing workflows.
  • Develop efficient, low-latency data pipelines and systems.
  • Maintain high data quality while ensuring GDPR compliance.
  • Analyze customer data and extract insights to drive business decisions.
  • Collaborate with Product, Backend, Marketing, and other teams to deliver impactful features.
  • Help Data scientists deliver ML/AI solutions.


The Profile

Requirements

  • 5+ years of experience as a Data Engineer, with expertise in Apache Spark using Python and Scala.
  • 3+ years of experience with Apache Kafka.
  • Management experience or Tech Lead experience
  • Strong proficiency in SQL.
  • Experience with CI/CD processes and platforms.
  • Hands-on experience with cloud technologies such as AWS, GCP or Azure.
  • Familiarity with Terraform.
  • Comfortable working in an agile environment.
  • Excellent problem-solving and self-learning skills, with the ability to operate both independently and as part of a team.

Nice to have

  • Hands-on experience with Databricks.
  • Experience with document databases, particularly Amazon DocumentDB.
  • Familiarity with handling high-risk data.
  • Exposure to BI tools such as AWS Quicksight or Redash.
  • Work experience in a Software B2C company, especially in the FinTech industry.


What we offer

Our goal is to set up a great working environment.

Become part of the process and:

● Shape the future of our organization as part of the international founding team.

● Take on responsibility from day one.

● Benefit from various coaching and training opportunities, including a Sports Subscription, German classes, and a €1000 yearly self-development budget.

● Work in a hybrid working model from the comfortable Berlin office

  • ● Enjoy a modern workplace in the heart of Berlin with drinks, fresh fruit, kicker and ping pongaccessibility.

The Employer

Our client is providing recruitment service to our TOP clients from our portfolio.

Our client is currently seeking a Data Engineer to join one of our clients' teams.

If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

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.

22496 Jobs in Germany
22496
2516 Jobs in Berlin
2516
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 Snaphunt 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?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

Snaphunt 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 Snaphunt'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 Snaphunt, 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 Snaphunt'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!

How to Set Up Job Alerts for Data Engineer Positions

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