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Data Engineer ( Finance Department )

Etraveli Group is the globally leading company for tech solutions and fulfillment capabilities for online sales of flights. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We hold consumer online travel agency brands like Mytrip, GoToGate & Flight Network and serve Booking.com with flights. Etraveli Group has also established strategic partnerships with companies like Skyscanner, Google Flights, TUI, etc.

Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 2500 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do.

Major offices in Sweden (HQ), Greece, India, Canada, Poland and Uruguay.

The role:

We are seeking a Data Engineer with expertise in data automation, infrastructure management, and analytics to join our team. This role requires a blend of data engineering, automation, and DevOps skills, ensuring the seamless operation of our data pipelines, workflows, and infrastructure.

 

Key Responsibilities:

Data Automation & Analysis

  • Build and maintain ETL/ELT pipelines for data extraction, transformation, and loading.
  • Automate data workflows using Apache Airflow DAGs.
  • Ensure efficient data modeling, transformation, and optimization for analytics.
  • Work with SQL, Python, and visualization tools (Looker, QlikSense, PowerBI) to support business insights.
  • Ability to breakdown complex processes and optimize where possible as well us solution design.
  • Ability to read and make sense of data and perform analysis on trends.

Infrastructure & DevOps

  • Manage and maintain servers, cloud environments (AWS/GCP/Azure), and containerized applications.
  • Deploy and optimize Dockerized applications for data processing.
  • Own the setup, monitoring, and scaling of Apache Airflow instances.
  • Ensure high availability, security, and performance of data infrastructure.

Application Deployment & Support

  • Load and manage applications on Docker and Airflow.
  • Collaborate with data analysts to ensure data accessibility and reliability.
  • Troubleshoot infrastructure and pipeline issues, optimizing performance.

Desired Skills & Experience:

●      Bachelor’s degree in Computer Science or equivalent

●      4 years of experience in data engineering or similar roles

●      Strong experience in SQL and Python.

●      Expertise in Docker, Airflow, Streamlit and cloud-based infrastructure (AWS/GCP/Azure).

●      Exceptional numerical and analytical abilities

●      Independent problem solving and strong attention to detail.

Nice to have:

●      Master’s Degree in computer science, mathematics, engineering, or related discipline.

●      Desire to learn and understand business concepts / new ideas.

●      Experience working effectively with data processing and engineering teams.

●      Travel industry experience is a plus

We are looking for people who would make the world smaller for travelers but want a bigger world of opportunities for themselves. With us, you can enjoy:

Health Benefits - Through partners, we offer a private health insurance plan. We also offer the possibility to use 2 extra medical leave days in case of need.

Monthly ticket restaurant card - to spend in one of the thousands of affiliated restaurants, cafes, stores, or supermarkets across Greece.

Hybrid working environment - having the opportunity to work both remotely and at the office enabling you flexibility! #LI-Hybrid

Office in the City – We sit on bright, large floors (over 4000㎡!) in central Athens. Just a short walk from the Ambelokipi Metro station.

Team activities - We also like to schedule company/department/team activities and events outside the office space!

Fun & Work - We have a relaxed work environment where you can enjoy free breakfast, beverages & fruits, playing ping pong or video games.

At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensuring equality and promoting diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.

#LI-LO1

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What You Should Know About Data Engineer ( Finance Department ), Etraveli Group

Join Etraveli Group as a Data Engineer in our Finance Department, where you will play a pivotal role in shaping our data landscape! We pride ourselves on being industry leaders, connecting millions of flights and travelers worldwide with our innovative tech solutions. As a Data Engineer, you'll be responsible for building and maintaining robust ETL/ELT pipelines, automating workflows with Apache Airflow, and collaborating closely with data analysts to ensure data accessibility. Your expertise in SQL and Python will help optimize our data models for insightful analytics. Additionally, your DevOps skills will shine as you manage our cloud environments and deploy Dockerized applications. At Etraveli, we believe in creating a work atmosphere that values diversity and growth, giving you the room to develop your skills while making a global impact. With a flexible hybrid working environment, competitive health benefits, and regular team activities, you will feel right at home in our vibrant team. If you're ready to help us make the world smaller for travelers while expanding your own horizons, we encourage you to apply today!

Frequently Asked Questions (FAQs) for Data Engineer ( Finance Department ) Role at Etraveli Group
What are the key responsibilities of a Data Engineer at Etraveli Group?

As a Data Engineer at Etraveli Group, you'll be building and maintaining ETL/ELT pipelines, automating data workflows using Apache Airflow, and ensuring efficient data modeling. You'll also manage cloud environments and containerized applications, focusing on optimizing data infrastructure for high availability and performance.

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What qualifications do you need to become a Data Engineer with Etraveli Group?

To become a Data Engineer at Etraveli Group, you should possess a Bachelor's degree in Computer Science or equivalent and have at least four years of experience in data engineering. Proficiency in SQL, Python, and cloud-based infrastructure such as AWS, GCP, or Azure is essential. Additionally, experience with Docker and Airflow will be highly advantageous.

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What skills are essential for a Data Engineer in the Finance Department at Etraveli Group?

Essential skills for a Data Engineer in our Finance Department include strong analytical abilities, expertise in SQL and Python, and hands-on experience with data automation tools like Apache Airflow. Familiarity with Docker and managing cloud environments are also critical for ensuring seamless data workflows.

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How does the hybrid work environment at Etraveli Group benefit Data Engineers?

The hybrid work environment at Etraveli Group allows Data Engineers to enjoy greater flexibility in their work arrangements, balancing remote work with in-office collaboration. This setup fosters productivity and innovation while encouraging team bonding through scheduled activities.

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What opportunities for career growth exist for Data Engineers at Etraveli Group?

At Etraveli Group, Data Engineers have ample opportunities for career growth through ongoing training, mentorship, and the chance to collaborate with various teams. We encourage our team members to pursue professional development and stay abreast of industry trends.

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Common Interview Questions for Data Engineer ( Finance Department )
Can you describe your experience with ETL/ELT processes?

In your response, highlight specific ETL/ELT projects you've completed, mentioning the tools used and the outcomes. Discuss how you approached pipeline design, optimization, and any challenges you overcame during implementation.

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How do you ensure data quality and integrity in your projects?

Discuss your strategies for testing and validating data, such as implementing checks during data transformation and using analytics to monitor data quality metrics. Give examples of how you've rectified issues to maintain high data integrity.

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What tools or technologies are you most familiar with in data engineering?

Be specific about your proficiency with tools like SQL, Python, Apache Airflow, Docker, or cloud services. Share examples from your work experience that showcase how you've effectively used these technologies in data engineering tasks.

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What is your approach to optimizing data pipelines?

Explain your methodology for profiling data pipelines, identifying bottlenecks, and applying performance tuning strategies. Emphasize your analytical skills and give instances of where optimization led to more efficient workflows.

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Can you explain your experience working with cloud technologies?

Talk about your familiarity with cloud platforms like AWS, GCP, or Azure, detailing specific projects where you've deployed data applications or managed infrastructure in the cloud. Highlight any scalability or security measures you implemented.

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How do you handle collaboration with data analysts?

Share your experiences collaborating with data analysts, emphasizing effective communication and teamwork. Discuss how you gather requirements for data accessibility and how you ensure alignment on project objectives.

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What makes a data model effective in your opinion?

Discuss the characteristics of an effective data model, such as normalization, scalability, and ease of integration. Reflect on any specific models you've designed and their role in driving business insights.

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What strategies do you use for troubleshooting data pipeline issues?

Share your systematic approach to problem-solving, detailing the steps you take to identify, diagnose, and resolve issues in data pipelines. Provide examples of challenges faced and solutions implemented successfully.

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Describe a situation where you had to learn a new technology quickly.

Illustrate your adaptability by recounting a time when you successfully learned a new technology under a tight deadline. Discuss the resources you used and how you applied your learnings to benefit the project.

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How do you keep up with advancements in data engineering?

Talk about the ways you stay informed about industry trends and emerging technologies, such as attending relevant workshops, participating in online forums, and connecting with professionals in the field to enhance your expertise.

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DATE POSTED
April 12, 2025

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