Senior Data Engineer - Supply Team at lastminute.com

Chiasso, Ticino, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, Google Cloud Platform, SQL, Big Data, ETL, ELT, Data Transformation, Airflow, Terraform, Python, Data Visualization, Data Analysis, Collaboration, Communication, Automation

Industry

Software Development

Description

Company Description 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. Job Description We are looking for a Senior Data Engineer to join our team of around 1,700 people worldwide to help us power up the traveller's 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. The job in brief: Job Title - Senior Data Engineer Working model - hybrid in Chiasso Team - you will join the Data Analytics Team Level - Professional Location - Chiasso, Switzerland Contract - Permanent - full-time (36 h/week) What your impact will be: 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. Qualifications Your expertise: 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 BigQuery. 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 CloudFormation 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. Desirable: 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. Additional Information 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 (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 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. Wish you were here? We do, too! Selection process steps*: 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) 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. Department: Data & Analytics

Responsibilities

The Senior Data Engineer will design, develop, and maintain data pipelines and architectures on Google Cloud Platform, while collaborating with stakeholders to meet their data needs. They will also ensure the quality and reliability of data systems through rigorous testing and maintenance.