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Senior Data Engineer Job Opening In Kraków – Now Hiring ZYTLYN Technologies


Job description

Who we are

ZYTLYN Technologies empowers companies across the $11 trillion travel industry to shape the future with predictive AI solutions that augment commercial planning, sales, marketing, retailing and operations.

We work with some of the largest travel brands in the world, and our vision is to answer highly detailed and granular questions about the future of travel, such as demand, supply, market fluctuations and pricing.

Our core focus is on airlines, airports, travel agencies, destinations, tourism boards, hotels, car rentals, travel retailers, and luxury brands.

Who we are looking for

As a Senior Data Engineer, you'll be responsible for building and maintaining the systems that support our products and analytics.

You'll have the opportunity to take ownership of key pipelines, influence the technical direction of our platform, and collaborate closely with engineers and data scientists to deliver reliable, high-quality data.

Location / Contract type

  • Geneva, Switzerland Office/Hybrid, or;
  • Full remote contractor (GMT+1 to GMT+4).

Our culture

We have a culture that focuses on empowering people, with team members working in our HQ (Geneva, Switzerland), and all across Europe (e.g. France, Spain, Italy, Poland, UK).

We believe a diverse team creates better outcomes and fosters a better environment for learning and growth.

We put a lot of emphasis on communication, listening, efficient processes and trusting our team.

We rely on each other, and work together to achieve our common goals.

We believe in working smart, with strong focus and intensity, tackling every challenge as a team.

Your work

  • Own the design, build, and maintenance of reliable batch pipelines using PySpark and Python;
  • Influence the future direction of our data platform, with potential to design and implement streaming pipelines;
  • Design and optimise data architecture on AWS;
  • Ensure high-quality, observable data flows into downstream systems that power analytics, product features and decision-making;
  • Champion solid engineering practices (CI/CD, testing, Git workflows);
  • Ensure the quality and suitability of datasets for downstream use;
  • Collaborate with product managers, engineers and data scientists to deliver trusted datasets and support model development/deployment.

Requirements

Basic requirements

  • 5+ years of data engineering experience building large-scale data platforms;
  • Proven hands-on experience with Spark, AWS, Python/Scala, SQL - familiarity with Kafka is a plus;
  • Track record of orchestrating, monitoring, and maintaining high-volume batch pipelines across distributed systems and cloud environments;
  • Proficiency with Docker and containerised deployments;
  • Familiarity with orchestration frameworks (e.g. Airflow) or AWS-native solutions like Step Functions (preferred);
  • Strong engineering practices: CI/CD pipelines, automated testing, GitHub/GitLab Flow;
  • Resourceful self-starter, comfortable with ambiguity and shifting priorities in a startup;
  • Highly organised, disciplined, and detail-oriented;
  • Excellent communication and listening skills — verbal, written.

Bonus points

  • Familiarity with Kafka or similar event-streaming technologies, and exposure to building/maintaining streaming pipelines;
  • Experience designing data warehousing solutions (Redshift, Snowflake, BigQuery);
  • Experience with Infrastructure as Code (Terraform, CloudFormation);
  • Exposure to MLflow or similar tools, and familiarity with model deployment workflows;
  • Awareness of data quality practices and governance principles;
  • Familiarity with Kubernetes for container orchestration.

Benefits

What we offer

  • Join a team of exceptional talent — At ZYTLYN, we hire thoughtfully and selectively, bringing together a small, focused team of high performers.

    We believe that a lean and empowered team moves faster, builds smarter, and achieves more.

    You’ll collaborate with driven colleagues who value efficiency, ownership, and impact.
  • Swiss employment contract based in Geneva/hybrid, or full remote b2b contract option.
  • Competitive salary- adjusted for experience and market benchmarks.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

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Are You Looking for Senior Data Engineer Job?

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

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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 ZYTLYN Technologies 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 Poland laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kraków. 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 Senior Data Engineer?

Key qualifications for Senior 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.

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Interview Tips for Senior Data Engineer Job Success

ZYTLYN Technologies interview tips for Senior Data Engineer

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

Before the Interview:

Research: Learn about the ZYTLYN Technologies'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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer interview at ZYTLYN Technologies, 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 ZYTLYN Technologies'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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