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.Who we are
Etraveli Group is a leading global platform for flights, an air technology company connecting millions of flights and travelers across the globe. The company is the exclusive provider of flights to booking.com in Europe and recently entered into an acquisition agreement with Booking Holdings pending competition clearance.
We want our customers to experience the world, while we take care of the technology that enables traveling. Every minute we close hundreds of deals for our partners around the globe. We are the preferred partner of some of the world’s most prominent travel companies such as Booking.com, Google Flights, Skyscanner and Kayak.
At the same time, we open endless possibilities for our employees. Our diverse team of more than 1500 passionate professionals is what makes us the best in what we do. The Group headquarters are located in Sweden while different parts of the Group’s operation are led from the countries where we have offices (Greece, Canada, India), with the Athens office being one of the largest, hosting around 400 employees working from the center of Athens for the rest of the world.
We know that the travel business is not just a business, it is an opening to the whole world. And technology is not just a job, it is an opening to the future. We are looking for people that are as open as traveling and technology combined & we are here to guide, challenge and give you an exciting part in our mission to make our world, wide open. Join us and start today as a Data Engineer!
Position Summary
The team Data Science and Research (DSR) at Etraveli Group consists of Data Scientists, Machine Learning Engineers, ML Ops Engineers and Data Engineers. The DSR teams gets their feet into more business domains and at the same time, they need to maintain, enhance and grow our data architecture together with the increase of traffic. To implement new state-of-the-art data pipelines and consolidate our existing solutions, the team needs an additional member.
Responsibilities
- Interpret and analyze data from various source systems to support machine learning, data integration and data reporting needs.
- Design, develop and maintain ETL and streaming pipelines according to business and ML solution needs for pricing, conversion and revenue optimization.
- Define and ensure data quality standards and assist in implementing relevant monitoring solutions.
- Assist in selecting, evaluating and integrating industry leading solutions and tooling that are required within our DE platform, ensuring scalability, performance, maintainability and associated documentation.
- Optimize and create new data pipelines together with Machine Learning Engineers and core engine backend developers.
- Work with internal and external stakeholders to prioritize business and information needs.
- Opportunity to assist in ML Ops engineering and machine learning engineering.
- Plan, communicate and share status updates together with your fellow colleagues and IT Dev developers creating synergies and using best practice.
Learning curve
In this role you will be using the best selection of tools and processes in the DE domain. The role enables you to learn even more about creating, developing and implementing standards for DE applications, and get deep knowledge about DE concepts and frameworks. You will also have the possibility to learn more about (and get hands on experience of) adjacent fields like Data Science, ML Pipeline Architecture and Platform Engineering.
Requirements
Minimum 2 years of relevant experience in these areas:
- Developing with Scala or Python and respective build tools
- Developing in distributed computing frameworks and massive parallel processing (Spark, Impala)
- Data stream transfer and aggregation technologies (Nifi, Sqoop, Flume, Kafka)
- Working with databases (MySQL, Singlestore or Hive)
- Optimising at SQL queries, report writing and presenting findings
- Using distributed storage and data layer tools (HDFS, S3).
Benefits
What we offer
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! #LI-Hybrid
- 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.
- 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 work environment where you can enjoy free beverages & fruits, playing ping pong or video games.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data pipelines Data quality Engineering ETL HDFS Kafka Machine Learning MySQL Pipelines Python Research Scala Spark SQL Streaming Testing
Perks/benefits: Career development Conferences Flex vacation Health care Medical leave Startup environment Team events Travel
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