Senior Data Engineer Supply Team

We are looking for a Senior Data Engineer to join our team of around 1700 people worldwide to help us power up the travellers journey for millions of holidaymakers. If you are passionate about using data to improve business performance enjoy challenging projects and are skilled at data modeling keep on reading as you might be the perfect fit for this job.

• Architect & Build:
  Design develop and maintain robust and scalable data pipelines and architectures on Google Cloud Platform (GCP).
• Innovate:
  Champion new approaches and technologies leveraging AI to optimize data processes and generate deeper insights.
• Collaborate:
  Partner closely with internal and business stakeholders to understand their data needs translating requirements into effective technical solutions.
• Prioritize:
  Manage competing demands and strategically prioritize projects to deliver maximum business value.
• Ensure Quality:
  Guarantee the performance reliability and scalability of our data systems through rigorous testing and maintenance.

• Experience:
  
  At least 6 years of experience as a data engineer with a proven track record of building and maintaining production-grade data systems.
• Cloud Expertise:
  Strong knowledge of SQL and hands-on experience with cloud-based Big Data platforms like Google Big Query.
• ETL/ELT:
  Expertise in data modeling and developing and maintaining data transformation pipelines using tools like dbt.
• Orchestration:
  Experience with workflow management engines such as Airflow.
• Automatization:
  Use Terraform/AWS Cloud Formation to manage and automate the provisioning and configuration of cloud infrastructure.
• Programming:
  Proficiency in at least one programming language with a strong preference for Python.
• Communication:
  Exceptional communication and presentation skills with the ability to influence technical and non-technical stakeholders.

• Visualization:
  Familiarity with data visualization tools such as Qlik Tableau Looker or Power BI.
• Extract and Process:
  Develop and implement solutions to scrape and extract data from various sources and transform it into a usable format.
• Domain Knowledge:
  Previous experience in the travel digital or e-commerce industries.
• Analytical
  
  Skills:
  
  A strong understanding of data analysis principles and how to apply them to improve business outcomes.

Perks of Working with Us:

• An inclusive friendly and international environment (youll be working with colleagues from 10 countries and over 48 nationalities)
• Shorter working week (36h as full time) with a half working day on Fridays
• Flexible start and end of the working day with core hours from 10:00 to 4:00 pm
• Possibility to work from anywhere for a period of time per year defined according to local regulations

• Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work personal growth learning and training and/or focus time.
• Professional and managerial skills development training paths access to e-learning platforms such as Oreilly Udemy Coursera (depending on the department) and to our internal platform offering bespoke training content

• 2 paid days off per year for volunteering purposes
• Occasional social events to foster connections among colleagues
• Travel industry discounts and flash exclusive staff fares
• We support our employees through life's significant moments with leave options (e parental responsibilities marriages bereavements relocations etc.) in line with local laws.

Wish you were here We do too!

• HR interview
• 1st Manager Interview (30 minutes)
• 2nd Manager Interview Technical Test (1 hour)
• Offer extended (
  * Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

At the heart of our culture is a commitment to inclusion across race gender age sexual orientation religion gender identity or expression and accessibility. We strongly believe in an equal opportunity space which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

By submitting your information and application you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

No

Full-time

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,No

SQL,Big Data,Data Warehouse,Kafka,Scala