Data Engineer (Sales Domain)

Lastminute Group; Comunidad Valenciana; A distancia; EUR 35.000 - 65.000; Jornada completa

Descripción de la vacante

An established industry player in travel technology is seeking a passionate Data Engineer to join their dynamic Sales & Partnerships team. This role offers the opportunity to shape data-driven decision-making, leveraging your engineering skills to manipulate and orchestrate data effectively. With a commitment to creating a diverse and inclusive workplace, the company provides a flexible working environment, shorter working weeks, and a variety of perks including travel discounts and opportunities for personal growth. If you're eager to make a significant impact in the travel sector, this could be the perfect opportunity for you.

Servicios

Flexible working hours

Shorter working week (36h)

Travel industry discounts

Paid volunteering days

E-learning access

Social events

Support for significant life moments

Formación

• 2+ years of experience in a similar role in a fast-paced environment.
• Advanced SQL knowledge and experience in ETL design.
• Fluency in English, both written and spoken.

Responsabilidades

• Support data-driven decision-making in the Sales & Partnerships team.
• Acquire, manipulate, orchestrate, and monitor data.
• Work with multiple stakeholders to deliver project results.

Conocimientos

SQL

Data Modelling

ETL design and implementation

Workflow management engines (Airflow, Google Cloud Composer, Talend)

Data quality and validation

Programming languages (Python, R, Scala, Java)

Data analysis

Analytics tools (QlikView, Tableau, Spotfire)

Fluent English

E-commerce familiarity

Educación

Bachelor's degree in a relevant field

Herramientas

Airflow

Google Cloud Composer

Talend

QlikView

Tableau

Spotfire

Descripción del empleo

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 Data Engineer (Sales Domain) to join our team of around 1,700 people worldwide to help us power up the traveller’s journey for millions of holidaymakers.

By joining our team as a Data Engineer, you’ll be the backbone of data-driven decision-making. If you’re passionate about building scalable systems and shaping the future of data, keep on reading, as you might be the perfect fit for this job.

Job Description

Job Title: Data Engineer

Working model: Remote position (inside Spanish territory only)

Team: You will join the Sales & Partnerships team within the Data Analytics department.

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

Location: Spain

Contract: Permanent (36 h / week)

What your impact will be:

The activities of the Sales & Partnerships domain team are focused on reports, tables, analysis, and more, related to the company’s sales data to create significant value in supporting decision-making. The candidate will have the opportunity to become a key member of the team leveraging their engineering skills to acquire, manipulate, orchestrate, and monitor data. Working in the Sales & Partnerships domain team, the candidate will work with multiple stakeholders from the business, partnership, and product optimization areas. The candidate will be accountable for project results in terms of efficiency following department guidelines and value for the company.

Qualifications

• At least 2 years of experience in a similar role in a fast-paced environment
• SQL advanced knowledge
• Experience in Data Modelling
• Experience in ETL design, implementation, and maintenance
• Experience with workflow management engines (e.g., Airflow, Google Cloud Composer, Talend)
• Experience with data quality and validation
• Fluent in English both written and spoken
• Programming languages knowledge (e.g., Python, R, Scala, Java)
• Experience in analyzing data to discover opportunities, address gaps, and anomaly / outlier detection
• Experience with Analytics tools (e.g., QlikView, Tableau, Spotfire)
• Familiarity with digital and e-commerce business

Additional Information

Perks of working with us:

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 dedicated to personal growth, learning, 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 include 2 paid days off per year for volunteering purposes, occasional social events to foster connections among colleagues, and 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 (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 & theoretical knowledge)

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.