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- Aufgaben: Design and improve the AirHelp Data Platform while supporting various departments with data needs.
- Arbeitgeber: Join AirHelp, a global leader in air passenger rights, making travel better for everyone.
- Mitarbeitervorteile: Enjoy perks like hybrid work, training programs, lunch subsidies, and a MacBook Air Pro.
- Warum dieser Job: Make a real impact on travel while working with a diverse, motivated team of data professionals.
- Gewünschte Qualifikationen: Degree in a quantitative field and experience with Python, data engineering, and cloud solutions required.
- Andere Informationen: We embrace diversity and are committed to an inclusive environment for all applicants.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Are you passionate about data analysis and willing to have a real impact on improving data culture in a global organization?
Then join us as a Senior Data Engineer! Data is at the heart of everything we do, and we're looking for a candidate who can take ownership of technical data assets, and support all other departments in making full use of them. You will be working with a seasoned and highly motivated, multi-cultural team of Data Engineers, DataOps Data Scientists, and Data Analysts. You will have the challenge of supporting the business' needs in a changing environment and helping AirHelp reach the next level of data maturity. You will work with the team in designing, building, and maintaining the AirHelp Data Platform, using modern data stack technologies like Fivetran, Snowflake, dbt, Airflow, Airbyte and others.
What you will do:
- Design, implement and keep improving the AirHelp Data Platform (Data Lake/Data Warehouse).
- Integrate, transform, and consolidate data from various structured and unstructured data systems into the AirHelp Data Platform.
- Ensure that AirHelp data applications and processes are scalable, reliable, secure, extensible, traceable, available, and manageable.
- Support Data Scientists in the development of advanced analytical data models.
- Mentor and share your technical expertise with Data Engineers, Data Scientists, Data Analysts and other AirHelp technology colleagues.
Ideally you bring with you:
- Degree in Computer Science, Engineering, Statistics, Mathematics, Physics or any other with a strong quantitative component.
- Proven experience of software/data engineering experience working with Python.
- Hands-on experience in Data Lake/ Lake House deployment using Snowflake or similar Cloud Data Warehousing solution (Redshift, BigQuery, Databricks or others).
- Hands-on experience with data transformation and data modeling using dbt framework.
- Hands-on experience building ETL/ELT data pipelines (CI/CD batch, real-time).
- Hands-on experience with task orchestration tools (Jenkins, Airflow or others).
- Solid understanding of data warehousing principles, concepts and best practices.
- Solid understanding of OLTP relational databases (Postgres, MySQL or similar transactional databases).
- Strong analytical and problem-solving skills.
- Working proficiency and communication skills in verbal and written English.
Nice to have:
- Hands-on experience in Amazon Web Services (EC2, RDS, Redshift, Lambda, Glue, Athena etc).
- Experience with Google Cloud Platform (BigQuery, Storage).
- Experience with Docker, Kubernetes or equivalent cloud managed services.
- Experience with data integration from third-party REST APIs.
- Experience with data visualization platforms (Periscope, Looker, Tableau or others).
Make a real impact on travel
At AirHelp, you will make a difference working with the world's largest organization specializing in air passenger rights. We support travelers around the world and help them get the compensation they deserve when their flight doesn't go according to plan. We're a global, diverse team that helps make air travel better for everyone. In 10 years, we've helped 1.5 million people receive the compensation they were entitled to when their flight was delayed, canceled or diverted. We're really proud of our 102k 5-star Trustpilot ratings.
Perks and benefits:
- Internal training programs and knowledge-sharing events
- Personalized progression plan
- Access to mindfulness and wellbeing platform (Mindgram)
- Language classes
- Lunch subsidy
- Team days
- Life insurance
- Gym membership, Childcare or Public transportation subsidy
- MacBook Air Pro
- Hybrid or remote workspace
- Unlimited, free use of AirHelp's services
- Events and parties
Next steps:
- Video call with the Recruiter
- Technical video call with our Senior Data Engineer
- Meeting with Head of Data
AirHelp is, and always will be an equal opportunity employer. We are proud of our diversity and are committed to creating an inclusive environment for all. All of our offices are wheelchair accessible. We welcome applicants who have special needs and are happy to adjust our interview process to accommodate them. We invite refugees and displaced people to join our team. Please submit your application in English and we look forward to hearing from you.
Data Engineer Arbeitgeber: Airhelp
Kontaktperson:
Airhelp HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Fivetran, Snowflake, dbt, and Airflow. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with data integration from third-party REST APIs. This is a valuable skill that aligns well with the responsibilities of the role and demonstrates your ability to work with diverse data sources.
✨Tip Number 3
Prepare to discuss your problem-solving approach during the interview. Be ready to share examples of how you've tackled complex data challenges in previous roles, as this will showcase your analytical skills and fit for the team.
✨Tip Number 4
Since the role involves mentoring others, think about your past experiences where you've shared knowledge or guided colleagues. Being able to demonstrate your leadership and collaboration skills will be crucial in the interview process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies mentioned in the job description like Python, Snowflake, and dbt. Use specific examples to demonstrate your skills.
Craft a Strong Cover Letter: In your cover letter, express your passion for data analysis and how you can contribute to improving data culture at AirHelp. Mention your experience with data platforms and your ability to work in a multi-cultural team.
Showcase Technical Skills: Clearly outline your technical skills related to data engineering, such as ETL/ELT processes, data modeling, and task orchestration tools. Provide examples of projects where you've successfully implemented these skills.
Prepare for Interviews: Be ready to discuss your previous experiences in detail during the interview process. Prepare to explain your approach to designing and maintaining data platforms and how you would support Data Scientists at AirHelp.
Wie du dich auf ein Vorstellungsgespräch bei Airhelp vorbereitest
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analysis and how it can impact the organization. Share specific examples of how you've used data to drive decisions or improve processes in your previous roles.
✨Demonstrate Technical Expertise
Be prepared to discuss your hands-on experience with the technologies mentioned in the job description, such as Snowflake, dbt, and Airflow. Highlight any relevant projects where you designed or maintained data platforms.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your analytical and problem-solving skills. Practice explaining your thought process when tackling complex data challenges, and be ready to provide examples from your past work.
✨Emphasize Collaboration and Mentorship
Since the role involves mentoring others, share experiences where you've collaborated with cross-functional teams or guided junior colleagues. Highlight your communication skills and how you foster a supportive team environment.
