Data Engineer
Athens, Attica, Greece
Etraveli Group
Etraveli Group is a world-leading tech platform for selling flights. We are here to solve the complexity by connecting millions of flights and travelers across the world.Etraveli Group is the globally leading company for tech solutions and fulfilment capabilities for online sales of flights. We are here to solve complexity, by connecting millions of flights and travellers across the globe. 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 2300 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Our major offices are in Sweden (HQ), Canada, Greece, India, Poland, with the Athens office being one of the largest, hosting around 500 employees working from the centre of Athens for the rest of the world.
Join us and start today as a Data Engineer!
The team
Our innovative DSR team (Data Science and Research) drives the transformation of our data platform. As we replace our existing infrastructure and integrate with broader data warehouse initiatives, we are looking for a skilled Data Engineer with a focus on Data Operations, to play a pivotal role in shaping our evolving data landscape.
As our new Data Engineer for Data Operations, you will be providing crucial technical support to our Data Engineers and other DSR team members developing the data platform used by solutions for Sales and Fintech departments. In this pivotal role you will work in close collaboration with our SysOps, Platform and Data Warehouse team. You will contribute to strengthening our delivery capabilities and subsequently meeting the growing demands of our dynamic data infrastructure. You will also play a crucial role in mentoring junior team members, promoting best practices in data engineering, and contributing to a culture of continuous learning and improvement within the team.
Responsibilities
The most important tasks will be
- Integrate, implement and maintain our new on-prem data platform: being responsible for implementing and managing systems on it that collect, process, store and analyze data
- Support deploying and managing the infrastructure that supports the data platform. Troubleshoot and manage our kubernetes based platform as well as our installed Data Engineering services
- Continuously monitor the data platform for performance issues, bottlenecks, or errors and optimizing it accordingly
- Implementing and monitoring security measures to protect data against unauthorized access, breaches, and ensure compliance with data protection regulations
- Support Data Engineers in developing and managing pipelines for Extracting, Transforming, and Loading (ETL) data from various sources
- Offer technical support to data users across the organization and collaborating with other teams.
Requirements
- University degree in a STEM discipline is a merit
- 5+ years of experience in data engineering or similar profiles within a kubernetes environment
- Proven experience with administering and maintaining big data processing and distributed systems like Spark, Zookeeper and Kafka
- Experience with Kubernetes and other Cloud Native products in on-prem clouds or AWS
- Proficiency in monitoring tools and platforms that track the health and performance of our data platform, like Prometheus, Grafana and Kibana
- Experience with data pipeline and workflow management tools such as Airflow or Nifi
- Experience with object storage systems such as S3, Swift and Ceph
- Understanding of DevOps principles and technologies, such as CI/CD in Jenkins, Harness or ArgoCD, containerization (docker) and infrastructure as code (Ansible, Terraform or Pulumi)
- Exposure to analytics platforms like Dremio/Trino and the Iceberg table format
- Exposure to programming Scala and Spark is a merit
- Exposure to administrating ETL tools
- Fluency in English
Benefits
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:
- Working in a hybrid model - having the opportunity to work both remotely and at the office!
- 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 affiliated restaurants, cafes, stores or supermarkets across Greece.
- Office in the City – We sit on bright, large floors (over 4000㎡!) in central Athens. Just a short walk from the Ambelokipi Metro station.
- Growth – We believe in personal development and continuous education. We allocate a generous budget each year to spend at conferences, seminars, online courses or other means to learn new things. In addition to this, we continuously organize internal training and workshops, so that we can learn from each other.
- Hackathon and Dev week – We believe in fostering creativity and testing new things. Therefore, we have recurring Hackathon and Dev weeks, where the teams decide what they want to work on.
- Team activities - We also like to schedule company/department/team activities and events outside the office space!
- Fun & Work - We have a relaxed working environment where you can enjoy breakfast, free beverages & fruits, playing ping pong or video games.
Diversity disclaimer
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 ensure equality and promote 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Ansible AWS Big Data CI/CD DataOps Data warehouse DevOps Distributed Systems Docker Engineering ETL FinTech Grafana Kafka Kibana Kubernetes NiFi Pipelines Research Scala Security Spark STEM Terraform Testing
Perks/benefits: Career development Conferences Health care Insurance Medical leave Startup environment Team events Travel
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