Customer Data Engineer

Lastminute Group; Schweiz; Vor Ort; EUR 60’000 - 100’000; Vollzeit

Zusammenfassung

Join a dynamic team at a leading European Travel-Tech company as a Customer Data Engineer. In this exciting role, you'll leverage your data engineering skills to enhance customer experiences for millions of travelers. You will design and deploy data pipelines, analyze data for insights, and collaborate with various teams on innovative projects. With a focus on flexibility and personal growth, this position offers a chance to work in an inclusive, international environment while contributing to the travel experiences of people around the globe. If you are passionate about data and customer experience, this is the perfect opportunity for you.

Leistungen

Flexible working hours

Half-day Fridays

Paid volunteering days

Travel industry discounts

Professional development training

E-learning platform access

Social events for team bonding

Qualifikationen

• 2+ years of experience in a similar role with strong SQL knowledge.
• Experience with data modeling, ETL design, and cloud analytics platforms.

Aufgaben

• Develop data pipelines focusing on automation and performance optimization.
• Collaborate with stakeholders to identify business needs and opportunities.

Kenntnisse

SQL

Data Modelling

Problem Solving

Programming (Python, R, Scala)

Data Quality and Validation

Data Analysis

Cloud Analytics Platforms

Workflow Management (Airflow)

Data Visualization Tools (Qlik, Tableau, Power BI)

Ausbildung

Bachelor's Degree in a related field

Tools

Talend

dbt

AWS Redshift

Google BigQuery

Jobbeschreibung

The Company

At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

We are looking for a Customer Data Engineer to join our team of around 1,700 people worldwide to help us power up the traveler’s journey for millions of holidaymakers. If you are passionate about customer experience, and great at data modelling and coding keep on reading, as you might be the perfect fit for this job.

The candidate will have the opportunity to become a key member of the team leveraging the data engineering skills to improve the customer experience. Specifically, the engineer will have the chance to work on customer centric and cross domain projects (Loyalty, CRM & Marketing, Login, Consents, APP, etc.).

Job Description

Job Title - Customer Data Engineer

Team - you will join the Data Analytics team within 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 (EUR 36 h/week)

What your impact will be

• Understand and analyze functional needs, raw data and develop data dimensional models
• Design, build and deploy data pipelines with a focus on automation, performance optimization, scalability, and reliability aspects
• Data extraction, analysis and reporting, in order to drive performance insights and support business decisions
• Works closely with internal stakeholders in order to identify and prioritise business needs and opportunities
• Explores and proactively propose new product and business opportunities
• Closely partner with Data Analyst to implement data models and data pipelines that will allow the company to get all the insights needed

Qualifications

Your expertise:

• At least 2 years of experience in similar role
• Strong knowledge of SQL
• Experience with workflow management engines (e.g. Airflow)
• Experience in Data Modelling
• Experience with data quality and validation
• Experience in custom ETL design, implementation and maintenance (with tools such as: Talend, dbt, etc.)
• Ability to work creatively and analytically with a strong attitude for problem solving
• Proficiency in English both written and spoken
• Programming languages knowledge (e.g. Python, R, Scala)
• Knowledge of data visualization tools like Qlik, Tableau, Looker, Power BI
• Experience working with cloud or on-prem Big Data/MPP analytics platform (e.g. AWS Redshift, Google BigQuery or similar)
• Ability to influence decision makers through presentations
• Familiarity with digital and ecommerce business
• Previous experience in the travel industry
• Experience in analysis

Additional Information

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 (36h as full time), with a half working day on Fridays
– Flexible start and end of the working day
– 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 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 O’reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

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, bereavements, relocations, etc.) in line with local laws.

Selection process steps:

• HR interview (10-30 minutes)
• Offline Tech test
• 1st interview (Manager): with test review
• 2nd interview (Manager + team member):
• Decision making & Offer extended

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 authorised 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