Finance Data Engineer

Job Title -  Finance Data Engineer

Location -  Chiasso, Switzerland

Working model -  hybrid from Chiasso

Team - You will join the Data Analytics team in the Technology department.

Level - Professional (working in teams or individually on projects, with emphasis on technical/discipline knowledge rather than managing people)

Contract -  Permanent - full-time (36 h/week)

What your impact will be:

• Design, development, and continuous improvements of end-to-end data pipelines 
• Continuous improvement in delivery, applying engineering best practices to development, monitoring, and data quality of the data pipelines.
• Data model creation, design of ETL activities and unit tests
• Writing documents for mapping of data flows according to business rules

Your expertise:

• Bachelor's or master's degree in Statistics, Mathematics, Engineering or Information Technology
• 1-2 years of experience in a similar role in a fast-paced environment
• Advanced SQL language knowledge and programming languages (e.g. Java, Python)
• Demonstrable ability to work creatively and analytically with a strong aptitude for problem-solving
• Basic experience in Cloud environments (e.g.: GCP, AWS)
• Fluent in English both written and spoken

Desirable: 

• Understand stakeholder's business areas and take ownership of their data needs, collect/support business requirement definition - be able to influence and partner with them leveraging on an in-depth cross-functional data knowledge
• Performing analysis to provide insights and summaries to the direct manager, the rest of the team, and other functions
• Knowledge of statistical analysis techniques
• Good knowledge of Google WorkSuite

Perks of working with us:

How we work together:

- An inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities)

- Shorter working week (36 hrs 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
 

How we learn together:

- Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to personal growth, learning and training, and/or focus time.

- Access to e-learning platforms (e.g. Discovery, O'Reilly - depending on the department), professional and managerial skills development training paths

Other perks:
- 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.g .parental responsibilities, marriages, bereavement, relocations, etc.) in line with local laws.

Wish you were here? We do, too!

Selection process steps*:

• HR interview (30 minutes)
• 1st interview (Manager): Moment for manager to get to know you better + SQL test
• 2nd interview (Manager + team member): Technical evaluation (Data Model & Python)
• Decision making / Offer extended

(*Please note the process can slightly vary, if this happens, the recruiter in charge will share more details during the recruitment process)

Our commitment to celebrate diversity and generate belonging

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.

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

Please submit your resume in English
Please submit your resume in English