Senior Data Engineer

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, Python, EC2, RDS, AWS Lambda, Athena, 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.
- 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.
- 2+ years 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. if their flights don't go according to the plan. We're a global, diverse team that helps make air travel better for all. To date, AirHelp has helped more than 16 million people and is available worldwide. We are proud of our high customer satisfaction levels reported on Trustpilot.

**Perks and benefits**:

- Internal training programs and knowledge-sharing events.
- Personalized progression plan.
- Language classes
- Lunch subsidy
- Team days
- Life insurance
- Gym membership, Childcare or Public transportation subsidy
- MacBook Air Pro.
- Hybrid workspace (partially remote, partially from one of our offices in Barcelona or Gdańsk. Working remotely from Warsaw is an option, too).
- Unlimited, free use of AirHelp's services.
- Events and parties

**Next steps**:

- Video call with the Recruiter.
- Meeting with Head of Data.
- Technical video call with our Senior Data Engineer.

**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.**

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